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Manual repair tasks in the industry of maintenance, repair, and overhaul require experience and object-specific information. Today, many of these repair tasks are still performed and documented with inefficient paper documents. Cognitive assistance systems have the potential to reduce costs, errors, and mental workload by providing all required information digitally. In this case study, we present an assistance system for object-specific repair tasks for turbine blades. The assistance system provides digital work instructions and uses augmented reality to display spatial information. In a user study with ten experienced metalworkers performing a familiar repair task, we compare time to task completion, subjective workload, and system usability of the new assistance system to their established paper-based workflow. All participants stated that they preferred the assistance system over the paper documents. The results of the study show that the manual repair task can be completed 21% faster and with a 26% lower perceived workload using the assistance system. [ABSTRACT FROM AUTHOR]

This paper presents the design and development of a mobile application, built using Flutter, that leverages object detection to enhance the lives of visually impaired individuals. The application addresses a crucial challenge faced by this community: the lack of real-time information about their surroundings. A solution is proposed that utilizes pre-trained machine learning models, potentially through TensorFlow Lite for on-device processing, to identify objects within the user's field of view as captured by the smartphone camera. The application goes beyond simple object recognition; detected objects are translated into natural language descriptions through text-to-speech functionality, providing crucial auditory cues about the environment. This real-time information stream empowers users to navigate their surroundings with greater confidence and independence. Accessibility is a core principle of this paper. The user interface will be designed for compatibility with screen readers, ensuring seamless interaction for users who rely on assistive technologies. Haptic feedback mechanisms will be incorporated to provide non-visual cues and enhance the user experience. The ultimate goal of this paper is to create a user-friendly and informative application that empowers visually impaired individuals to gain greater independence in their daily lives. The application has the potential to improve spatial awareness, foster a sense of security, and promote overall inclusion within society. [ABSTRACT FROM AUTHOR]

Improving the quality of life for people with vision impairments has been an important goal in the research and design of assistive devices for several decades. This paper seeks to further that goal by introducing a novel assistive technology platform that leverages real-time 3D spatial audio to promote safe and efficient navigation for people who are blind or visually impaired (PVI). The presented platform, EchoSee, uses modern 3D scanning technology on a mobile device to construct a live, digital 3D map of a user's environment as they move about their surroundings. Spatialized, virtual audio sources (i.e., virtual speakers) are dynamically placed within the digital 3D scan of the world, providing the navigator with a real-time 3D stereo audio "soundscape." The digital 3D map, and its resultant soundscape, are continuously updated as the user moves about their environment. The generated soundscape is played back through headphones connected to the navigator's device. This paper details (1) the underlying technical components and how they were integrated to produce the mobile application that generates a dynamic soundscape on a consumer mobile device, (2) a methodology for analyzing navigation performance with the application, (3) the design and execution of a user study investigating the effectiveness of the presented system, and (4) a discussion of the results of that study along with a proposed future study and possible improvements. Altogether, this paper presents a novel software platform aimed at assisting individuals with vision impairments to navigate and understand spaces safely, efficiently, and independently and the results of a feasibility study analyzing the viability of the approach. [ABSTRACT FROM AUTHOR]

This paper delves into the multifaceted landscape of dyslexia within the context of digital environments, aiming to explore the nuanced challenges faced by dyslexic individuals and propose design interventions to cater to their diverse needs. Dyslexia, recognised as a neurobiological learning disability characterised by difficulties in language processing and reading comprehension, continues to pose unique challenges despite advancements in its understanding and diagnosis. The study draws from interviews conducted with dyslexic individuals, highlighting the spectrum of challenges encountered. It reveals the varied nature of dyslexia experiences, spanning struggles in languagespecific domains, reading difficulties, and individualised approaches to coping with the disability. Furthermore, it critically examines existing digital assistive technologies, emphasising their limitations in meeting the tailored requirements of dyslexic learners, often failing to align with individual learning approaches and impeding effective learning experiences. Acknowledging the dichotomy between the aid provided by assistive tools and the need to cultivate personal skills, this paper advocates for a balanced approach. It explores a range of tools and educational tactics employed by dyslexic individuals, emphasising the importance of personalised, adaptable solutions to accommodate diverse experiences and preferences. The study progresses to present low-fidelity design probes as potential interventions in the digital sphere, focusing on tools that allow gradual skill development and customisation. These prototypes aim to provide tailored support while fostering the growth of personal tactics and skills, aiming to strike a harmonious balance between assistance and skill enhancement. Despite these contributions, this study faces limitations, including a restricted sample size and a lack of longitudinal data. The research methodology could benefit from a more comprehensive approach, integrating quantitative measures and expanding participant diversity to enhance generalisability. Furthermore, a deeper synthesis of existing literature and a more explicit theoretical framework could strengthen the theoretical underpinnings of this study. [ABSTRACT FROM AUTHOR]

This paper presents EXOTIC, a revolutionary assistive upper-limb exoskeleton that offers previously unheard-of levels of control and versatility to people with total functional tetraplegia. While the context in which these exoskeletons should work is less or not prioritized despite posing significant technical needs, the exoskeleton literature in publication mostly concentrates on the fundamental technical components of exoskeleton design and control, ranging from fundamental technical features to practical real-world applications. The EXOTIC includes a lightweight, safe, wheelchair-mountable, and simple-to-put-on-and-take-off exoskeleton that can assist individuals with tetraplegia in multiple highly desired activities of daily living, a semi-automated computer vision guidance system that the user can activate when appropriate, and a tongue control interface that enables complete, conscious, and ongoing control over every movement the exoskeleton is capable of. Ten healthy participants and three users suffering from tetraplegia due to a spinal cord injury participated in the EXOTIC testing. Throughout the trials, EXOTIC was able to help individuals with total functional tetraplegia and ventilator dependency execute tasks like drinking and getting snacks. The utility of the EXOTIC was attested to by the users. [ABSTRACT FROM AUTHOR]

This paper contributes to the development of a Next Generation First Responder (NGFR) communication platform with the key goal of embedding it into a smart city technology infrastructure. The framework of this approach is a concept known as SmartHub, developed by the US Department of Homeland Security. The proposed embedding methodology complies with the standard categories and indicators of smart city performance. This paper offers two practice-centered extensions of the NGFR hub, which are also the main results: first, a cognitive workload monitoring of first responders as a basis for their performance assessment, monitoring, and improvement; and second, a highly sensitive problem of human society, the emergency assistance tools for individuals with disabilities. Both extensions explore various technological-societal dimensions of smart cities, including interoperability, standardization, and accessibility to assistive technologies for people with disabilities. Regarding cognitive workload monitoring, the core result is a novel AI formalism, an ensemble of machine learning processes aggregated using machine reasoning. This ensemble enables predictive situation assessment and self-aware computing, which is the basis of the digital twin concept. We experimentally demonstrate a specific component of a digital twin of an NGFR, a near-real-time monitoring of the NGFR cognitive workload. Regarding our second result, a problem of emergency assistance for individuals with disabilities that originated as accessibility to assistive technologies to promote disability inclusion, we provide the NGFR specification focusing on interactions based on AI formalism and using a unified hub platform. This paper also discusses a technology roadmap using the notion of the Emergency Management Cycle (EMC), a commonly accepted doctrine for managing disasters through the steps of mitigation, preparedness, response, and recovery. It positions the NGFR hub as a benchmark of the smart city emergency service. [ABSTRACT FROM AUTHOR]

Stroke remains a significant global health burden, necessitating comprehensive and innovative approaches in rehabilitation to optimize recovery outcomes. This paper provides a thorough exploration of rehabilitation strategies in stroke management, focusing on diagnostic methods, acute management, and diverse modalities encompassing physical, occupational, speech, and cognitive therapies. Emphasizing the importance of early identification of rehabilitation needs and leveraging technological advancements, including neurostimulation techniques and assistive technologies, this manuscript highlights the challenges and opportunities in stroke rehabilitation. Additionally, it discusses future directions, such as personalized rehabilitation approaches, neuroplasticity concepts, and advancements in assistive technologies, which hold promise in reshaping the landscape of stroke rehabilitation. By delineating these multifaceted aspects, this manuscript aims to provide insights and directions for optimizing stroke rehabilitation practices and enhancing the quality of life for stroke survivors. [ABSTRACT FROM AUTHOR]

This paper presents a novel vision impairment assistive device to improve mobility and independence. This device consists of Arduino Nano microcontroller technology that powers the Satellite/GPS-based stick, which tracks and navigates in real-time. Arduino Nano's adaptability and compactness enable our portable, affordable white cane replacement. Satellite signals let the stick locate the user, compute the best routes, and provide aural navigation cues through speakers or headphones. The obstacle detection sensors notify users of adjacent risks, improving safety. The proposed device is a stable and user-friendly technology that delivers a potential answer to visually impaired navigation issues after rigorous development and testing. [ABSTRACT FROM AUTHOR]

This study examines the usability of communication-assistive applications for hearing-impaired users, with a focus on enhancing user experience and promoting social inclusion. Although such applications have been developed and evaluated previously, interface designs that consider the intimacy needs of hearing-impaired users remain under-explored. We performed a comprehensive usability evaluation employing a mixed-method approach, which involved hearing-impaired individuals as well as field experts. The findings revealed areas for improvement in the design, validated the feasibility of implementing these applications, and emphasized the importance of incorporating the unique needs and preferences of hearing-impaired users. Furthermore, this paper discusses the importance of introducing guidelines and evaluation scales for the "Design for Emotion and Life Knowledge" levels to facilitate smooth and effective human–computer interactions. Such measures will promote the development of intelligent assistive technologies that reflect the qualitative needs of people with disabilities and contribute to social rights for hearing-impaired users. With the growing demands of artificial-intelligence-powered assistive technologies, the inclusion of individuals with disabilities in the design and research process is anticipated to increase. In future, studies should be conducted to blend the culturally shared experiences and emotional bonds expressed by users (having mild-to-severe hearing impairment) with the design and development process of assistive devices or services. [ABSTRACT FROM AUTHOR]

The Web has become an essential resource but is not yet accessible to everyone. Assistive technologies and innovative, intelligent frameworks, for example, those using conversational AI, help overcome some exclusions. However, some users still experience barriers. This paper shows how a human-centered approach can shed light on technology limitations and gaps. It reports on a three-step process (focus group, co-design, and preliminary validation) that we adopted to investigate how people with speech impairments, e.g., dysarthria, browse the Web and how barriers can be reduced. The methodology helped us identify challenges and create new solutions, i.e., patterns for Web browsing, by combining voice-based conversational AI, customized for impaired speech, with techniques for the visual augmentation of web pages. While current trends in AI research focus on more and more powerful large models, participants remarked how current conversational systems do not meet their needs, and how it is important to consider each one's specificity for a technology to be called inclusive. [ABSTRACT FROM AUTHOR]

Healthy aging requires the maintenance of good physical and cognitive activity. However, as they age, older adults often experience a decline in physical and cognitive activity, leading to a more sedentary lifestyle. Some older adults may not have a choice but to become increasingly sedentary as they age due to injury or deteriorated physicality. As such, they require assistive technologies to aid in their daily lives and activities to maintain healthy cognitive function. Social Robots are a newer form of assistive technology, specifically designed for social interactions and gameplay. As with other assistive technologies, compliance barriers to their acceptance and use for meaningful, seated activities among older adults are expected. To better explore this phenomenon, improve quality of life and understand what drives older adults to accept and use newer forms of technology like social robots, this conceptual paper conjoins two theoretical frameworks: The Activity Theory of Aging (ATA) and the Unified Theory of Acceptance and Use of Technology (UTAUT). As social robots hold great promise for improving the quality of life for older adults, exploring what driving factors could enable their greater acceptance and use is essential to furthering this field of study within Australia. [ABSTRACT FROM AUTHOR]

Information and Communication Technologies have transformed our lives in different social areas, facilitating interpersonal relationships thanks to technological tools. In the specific case of people with disabilities, Assistive Technologies (ATs) break down barriers and increase opportunities to become active members of society with equal opportunities. This paper presents a systematic mapping study that analyzes the current state-of-the-art of ATs proposed in the literature to support the empowering of people with disability. Specifically, this paper focuses on (1) describing a global vision of the scientific literature published in the last 20 years about ATs in the computer science field and (2) identifying research needs, gaps, and trends. For this purpose, an in-depth analysis of 389 primary studies is presented. The information obtained from the mapping process is also constrained. Concretely, 35 ATs versus 22 disabilities are compared, obtaining striking peaks for some disabilities described in the discussion. Finally, the findings show that several areas have been covered only lightly, revealing interesting future directions and challenges for junior researchers. • ATs have the potential to break down barriers for people with disabilities, enabling them to participate more fully in society. This implies a need for rehabilitation programs to incorporate ATs into their strategies to enhance social inclusion. • Given the transformative role of ICT, rehabilitation programs should focus on helping people with disabilities develop the necessary technological skills to utilize ATs effectively. • This work highlights the diversity of ATs and disabilities, suggesting a need for personalized rehabilitation plans that match specific ATs to individual disabilities. • Rehabilitation professionals should be trained to assess and recommend appropriate ATs for each case. Rehabilitation programs should consider incorporating cutting-edge ATs and staying involved in research to contribute to future developments to cover gaps and challenges identified. [ABSTRACT FROM AUTHOR]

In this paper we prompt a re-reading of Assistive Technology (AT) as a media system that organizes disability in the framework of digital health-care and the platform society. Drawing on disability media studies and organization studies, we investigate how the arrival of big tech and digital platforms in the field of AT reconfigures ways to account for, classify and potentially discriminate against disability. We argue that this new configuration can be explained as a shift from a biopolitical model – oriented toward disability normalization – to an ethopolitical model, oriented toward optimization and health enhancement. In the conclusions, we put forward the concept of ethopolitical media and discuss the implications of this for wider debates in media and cultural studies which deal with the relationship between media, health, and self-care. [ABSTRACT FROM AUTHOR]

The gait rehabilitation knee exoskeleton is an advanced rehabilitative assistive device designed to help patients with knee joint dysfunction regain normal gait through training and activity support. This paper introduces a design framework based on the process knowledge representation method to optimize the design and control efficiency of the knee exoskeleton. This framework integrates knowledge of design objects and processes, specifically including requirements, functions, principle work areas, and the representation and multi-dimensional dynamic mapping of the Behavior–Structure (RFPBS) matrix, achieving multi-dimensional dynamic mapping of the knee exoskeleton. This method incorporates biomechanical and physiological knowledge from the rehabilitation process to more effectively simulate and support gait movements during rehabilitation. Research results indicate that the knee rehabilitation exoskeleton design, based on the RFPBS process knowledge representation model, accomplishes multi-dimensional dynamic mapping, providing a scientific basis and effective support for the rehabilitation of patients with knee joint dysfunction. [ABSTRACT FROM AUTHOR]

In 2016 WHO launched the priority assistive products list (APL) consisting of 50 products and recommended that using this as a reference, countries should develop their own contextually relevant national APLs. This paper describes the development of Malawi's APL. Two hundred and ninety-six persons with disabilities participated in a rapid Assistive Technology Assessment (rATA) survey. Six focus group discussions (FGDs) with people with various types of disabilities were conducted. The rATA questionnaire and FGDs collected data on assistive products (APs) participants used, APs they needed and the challenges they experienced. Data collection was done in six districts spread across the three regions in Malawi. All age groups were included in the survey. Persons with disabilities aged less than 18 participated but went with their guardians. All persons who participated in this study provided consent. Survey and FGDs results were presented at an APL consensus meeting with policymakers, service providers, disabled peoples' organizations and development partners in the disability sector. Based on the results and further discussions, a consensus was reached on the priority APs for Malawi. More than a third of respondents used wheelchairs (32%), followed by auxiliary crutches (25%), walking sticks (13%), reading glasses (11%), prosthesis (10%), elbow crutches (9%) and orthosis (8%). There is also a high demand for products such as pull-up underwear (incontinence products) (79%), hearing aids (70%), reading glasses (59%) and diapers (63%). After intensive discussions during a consensus meeting, an agreement was reached on the 22 priority APs for Malawi. There is a wide range of APs being used by people with different functional limitations in Malawi. There is also a demand for APs that are not readily available. When developing an APL, the list should include products in use, those in demand, and those recommended by service providers. Following the development of the priority assistive products list (APL) by WHO, member states should develop their own contextually based APL. The development of the APL should be based on research evidence. All key stakeholders including persons with disabilities and other functional limitations, government, and development partners should participate in this process. The APL should be part of the national health system or community services. The Department of Disability and Elderly Affairs in the Ministry of Gender, Community Development, being the Government of Malawi line ministry coordinating disability issues participated actively in this study including inviting participants in the stakeholders' validation workshop. [ABSTRACT FROM AUTHOR]

Traditional qualitative inquiry research methods exhort us to look for the 'good' story tellers who use metaphors to describe their experiences, emotions, and events. This privileges abled-bodied individuals, meaning that without full individual accessibility for people with disability is not achieved. The objective of this paper is to present a case study on inclusion of research participants who live with deafblindness. This case study posits where qualitative story telling spaces currently are; whose voices occupy these narratives; what is said and how it is said: and the performative aspects of the qualitative inquiry currently. Research including people with disability is reflected in the evidence base, however the question that if qualitative methods don't seek to explore and understand these differences, epistemic injustices will be perpetrated. The case study reflects on a research project whose methodology sought to solicit hospital experiences for those living with deafblindness. The Australian study of 18 deafblind participants with wide ranging communication needs, shared in-depth narrative inquiry stories told in: 'snapshots' of moments of disempowerment; through sign and vibrotactile communication; usage of the strong verb with metaphor rarely present except to exclusively describe instances of dehumanisation. Narrative inquiry method when used with people who are deafblind is predominately chaotic with some tense instability for non-signing participants. Emphasis is via repetition, altered pitch and expletives. Touch centricity is fundamental. Dissonance is evident between words used and stories told. The thematic analysis identified a need to reflect epistemically across the creation of any qualitative project from beginning to end, focussing on what is being said and how it is being said or signed or felt. The conclusion of the paper provides a roadmap for future projects to ensure improvements in the enhancing of awareness of different ways of being, doing and telling in qualitative research methods. [ABSTRACT FROM AUTHOR]

This editorial discusses the need for innovative healthcare solutions to meet the complex needs of the growing elderly population. It emphasizes the importance of emerging technologies such as artificial intelligence, immersive technologies, and the Internet of Things in the healthcare sector. The document provides a summary of research papers submitted to the topic, including studies on video-based ambient assisted living technologies and evaluating individuals' processing speed. The research papers explore advancements in cross-disciplinary studies in fields such as ambient assistive technology, immersive technology, artificial intelligence, machine learning, deep learning, signal processing, healthcare solutions, and medicine. The papers contribute to the understanding of cognitive processing, motor functioning, and brain rehabilitation, and highlight the potential of artificial intelligence-driven applications in healthcare. [Extracted from the article]

Background: The National Health Service (NHS) and general practice are increasingly adopting digital services. These services can impact both positively and negatively upon patient experiences, and access to digital services is not equal amongst all groups. Within a wider project examining digital facilitation (the Di-Facto study) our team conducted a patient survey amongst English primary care practices aiming to investigate patient views of what supports uptake and use of web-based services. This paper reports on the analysis of the free-text responses from the patient survey. Methods: The Di-Facto patient survey was distributed to practices in eight clinical commissioning groups (CCGs) in England between 2021–2022. We examined free-text responses to two questions relating to access to primary care web-based and support for web-based services. We used qualitative reflexive thematic analysis based on a six-stage process to analyse responses. Results: Of the 3051 patients who responded to the Di-Facto survey, 2246 provided a free-text response. We present our findings in two major themes: systems and structures and their impact on use of web-based services, and 'what works for me', a description of how respondents described what worked, or did not work in terms of their interactions with web-based services. Respondents described how the technology, such as poor practice website design, confusion over multiple digital apps, data security and concerns about eConsultation offerings impacted on use of web-based services. Respondents described practice level barriers, such as a lack of or inconsistent provision, which prevented optimal use of web-based services. Respondents described personal and technical barriers that impacted on their use of digital services, and described which web-based services worked well for them. Respondents felt that web-based services were not a replacement for face-to-face interactions with a doctor. Conclusions: This analysis of free-text responses from a large patient survey highlights the system, practice, and person level barriers and facilitators to use of digital services in primary care. With an increasing push towards digital solutions in NHS primary care, practices should consider the design, rollout and communication of their web-based services to support patient access. [ABSTRACT FROM AUTHOR]

Inspired by pandemic-transformed instruction, this paper examines the digital accessibility of five tech tools used in information literacy sessions, specifically for students who use assistive technologies such as screen readers. The tools are Kahoot!, Mentimeter, Padlet, Jamboard, and Poll Everywhere. First, we provide an overview of the Americans with Disabilities Act (ADA) and digital accessibility definitions, descriptions of screen reading assistive technology, and the current use of tech tools in information literacy instruction for student engagement. Second, we examine accessibility testing assessments of the five tech tools selected for this paper. Our data show that the tools had severe, significant, and minor levels of digital accessibility problems, and while there were some shared issues, most problems were unique to the individual tools. We explore the implications of tech tools' unique environments as well as the importance of best practices and shared vocabularies. We also argue that digital accessibility benefits all users. Finally, we provide recommendations for teaching librarians to collaborate with campus offices to assess and advance the use of accessible tech tools in information literacy instruction, thereby enhancing an equitable learning environment for all students. [ABSTRACT FROM AUTHOR]

Over the last few years, the microfluidics phenomenon coupled with the Internet of Things (IoT) using innovative nano-functional materials has been recognized as a sustainable and economical tool for point-of-care testing (POCT) of various pathogens influencing human health. The sensors based on these phenomena aim to be designed for cost-effectiveness, make it handy, environment-friendly, and get an accurate, easy, and rapid response. Considering the burgeoning importance of analytical devices in the healthcare domain, this review paper is based on the gist of sensing aspects of the microfabricated paper-based analytical devices (μPADs). The article discusses the various used design methodologies and fabrication approaches and elucidates the recently reported surface modification strategies, detection mechanisms viz., colorimetric, electrochemical, fluorescence, electrochemiluminescence, etc. In a nutshell, this article summarizes the state-of-the-art research work carried out over the nano functionalized paper-based analytical devices and associated challenges/solutions in the point of care testing domain. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to evaluate the accessibility of digital information systems as a key usability attribute in information retrieval by users with visual impairment (VI), to inform development of accessible information systems. Design/methodology/approach: This study used a cross-sectional survey design based on the quantitative research paradigm. Data was collected from 117 students with visual impairments from selected public universities in Kenya, using a semi-structured questionnaire adapted from Web Content Accessibility Guidelines. Findings: This study revealed that gender did not influence screen reader compatibility, alternative format preferences, perceptions of accessible content or digital library navigability. Instead, type of visual impairment, prior assistive technology (AT) training and digital library use frequency significantly impacted these attributes. Blind students reported positive experiences, favouring alternative formats, and expressed positive views on accessible content while those with low vision faced more challenges. Prior training in assistive technology and frequent digital library use resulted in higher screen reader compatibility and better navigability. Increased digital library use was linked to access to alternative content for those with prior assistive technology training. Research limitations/implications: This study contributes to the existing literature on accessibility of digital information systems for users with visual impairments. Further research is needed to explore other factors that may influence the accessibility of digital systems, such as the design of user interfaces as well as an evaluation of accessibility of digital systems for other categories of disabilities such as hearing impairment, physical impairment, autism and intellectual disability, among others. Practical implications: The findings of this study have practical implications for the design and development of digital systems such as digital libraries. Developers can leverage findings of this study to enhance compatibility of digital platforms with screen readers and provide alternative formats and accessible content. User-centred design principles can be used to create interfaces that are easy to navigate and friendly to users with visual impairments. Training programmes on assistive technology should be provided to users to enhance their skills and confidence in using digital systems. Originality/value: This study contributes towards design and creation of navigable systems that are compatible with screen readers. The study also points out the importance of creating more inclusive and usable digital environments for persons with visual impairments. [ABSTRACT FROM AUTHOR]

Appropriate paper-based technology (APT) is used to provide postural support for children with cerebral palsy (CP) in low-resourced settings. This pilot study aimed to evaluate the impact of APT on the children's and families' lives. A convenience sample of children with CP and their families participated. Inclusion was based on the Gross Motor Function Classification System levels IV and V. APT seating or standing frames were provided for six months. A mixed methods impact of APT devices on the children and families included the Family Impact Assistive Technology Scale for Adaptive Seating (FIATS-AS); the Child Engagement in Daily Life (CEDL) questionnaire; and a qualitative assessment from diary/log and semi-structured interviews. Ten children (median 3 years, range 9 months to 7 years). Baseline to follow-up median (IQR) FIATS-AS were: 22.7 (9.3) and 30.3 (10.2), respectively (p=.002). Similarly mean (SD) CEDL scores for "frequency" changed from 30.5 (13.2) to 42.08 (5.96) (p=.021) and children's enjoyment scores from 2.23 (0.93) to 2.91 (0.79) (p=.019). CEDL questionnaire for self-care was not discriminatory; seven families scored zero at both baseline and 6 months. Qualitative interviews revealed three key findings; that APT improved functional ability, involvement/interaction in daily-life situations, and a reduced family burden of care. APT devices used in Kenyan children with non-ambulant CP had a meaningful positive effect on both the children's and their families' lives. Assistive devices are often unobtainable for children with cerebral palsy (CP) in low-income countries. APT is a low cost and sustainable solution to make seating and standing devices for disabled children in Kenya. The regular use of a postural support device enhanced the children's motor skills, ability to function and participate in everyday activities, reduced the burden of care for the families and promoted the children's social interaction. The postural support devices were highly valued and utilised by the children and families in this study. [ABSTRACT FROM AUTHOR]

Those with visual impairments, including complete blindness or partial sight loss, constitute a significant global population. According to estimates by the World Health Organization (WHO), there are at least 2.2 billion people worldwide who have near or distance vision disorders. Addressing their needs is crucial. Introducing a smart cane tailored for the blind can greatly improve their daily lives. This paper introduces a significant technical innovation, presenting a smart cane equipped with dual ultrasonic sensors for obstacle detection, catering to the visually impaired. The primary focus is on developing a versatile device capable of operating in diverse conditions, ensuring efficient obstacle alerts. The strategic placement of ultrasonic sensors facilitates the emission and measurement of high-frequency sound waves, calculating obstacle distances and assessing potential threats to the user. Addressing various obstacle types, two ultrasonic sensors handle overhead and ground-level barriers, ensuring precise warnings. With a detection range spanning 2 to 400 cm, the device provides timely information for user reaction. Dual alert methods, including vibrations and audio signals, offer flexibility to users, controlled through intuitive switches. Additionally, a Bluetooth-connected mobile app enhances functionality, activating audio alerts if the cane is misplaced or too distant. Cost-effective implementation enhances accessibility, supporting a broader user base. This innovative smart cane not only represents a technical achievement but also significantly improves the quality of life for visually impaired individuals, emphasizing the social impact of technology. The research underscores the importance of technological research in addressing societal challenges and highlights the need for solutions that positively impact vulnerable communities, shaping future directions in research and technological development. [ABSTRACT FROM AUTHOR]

In collaboration with end-users and other key stakeholders, this paper describes an innovation process of designing and manufacturing customized assistive technologies for regional and remote communities. The project collaboratively identified the real-world problems of people living with spinal cord injuries, created design solutions to overcome these challenges, and worked with manufacturers to turn these solutions into actual products. The project embodied a co-design method to bring people living with spinal cord injuries, occupational therapists, researchers, designers, and manufacturers together to co-create new solutions to overcome common challenges. Data was collected through the following methods: a desktop study of the literature and the market; an innovation process via 4 x co-design workshops (Ideation, Design and Develop, Pitch and Feedback, Demonstration) from June 2021 to June 2022; a Research through Design methodology to design 3D-printed assistive technologies. Through iterative virtual and physical prototyping, and user testing, the most effective prototypes were refined into the optimal solution. The Project established an innovation process, including online consultation and workshops with end-users, that prioritize 3D printing of assistive technology prototypes; created a demonstrator for allied health engagement and testing; and completed end-user pilot group testing, such as materials, durability, grasping, biomechanical advantage, adaptability, etc. This innovation process produced a minimum viable product (MVP) that has enough features to attract early adopters and provide design validation early in the product development cycle. [ABSTRACT FROM AUTHOR]

This paper discusses the challenges of the current state of computer vision-based indoor scene understanding assistive solutions for the person with visual impairment (P-VI)/blindness. It focuses on two main issues: the lack of user-centered approach in the development process and the lack of guidelines for the selection of appropriate technologies. First, it discusses the needs of users of an assistive solution through state-of-the-art analysis based on a previous systematic review of literature and commercial products and on semi-structured user interviews. Then it proposes an analysis and design framework to address these needs. Our paper presents a set of structured use cases that help to visualize and categorize the diverse real-world challenges faced by the P-VI/blindness in indoor settings, including scene description, object finding, color detection, obstacle avoidance and text reading across different contexts. Next, it details the functional and non-functional requirements to be fulfilled by indoor scene understanding assistive solutions and provides a reference architecture that helps to map the needs into solutions, identifying the components that are necessary to cover the different use cases and respond to the requirements. To further guide the development of the architecture components, the paper offers insights into various available technologies like depth cameras, object detection, segmentation algorithms and optical character recognition (OCR), to enable an informed selection of the most suitable technologies for the development of specific assistive solutions, based on aspects like effectiveness, price and computational cost. In conclusion, by systematically analyzing user needs and providing guidelines for technology selection, this research contributes to the development of more personalized and practical assistive solutions tailored to the unique challenges faced by the P-VI/blindness. [ABSTRACT FROM AUTHOR]

Self-Balanced lower limb exoskeleton (SBLLE) is designed for rehabilitation and walking assistance for dyskinesia persons with spinal or lower limb muscle injury to regain the locomotion ability in daily activities. In this paper, an innovative feedback control strategy for a fully actuated SBLLE is presented, which helps users to walk stably without crutches or other assistive devices. Exoskeleton is approximated as a simplified center of mass (CoM) model. Based on this simplified dynamic model, the trajectory generation and walking feedback control strategy, which enhances the locomotion stability, is introduced. The proposed strategy is implemented on our exoskeleton, AutoLEE-II, and its stability and dynamic performance are demonstrated in the stable walking simulations and experiments for exoskeleton with a female subject. [ABSTRACT FROM AUTHOR]

There is a growing trend of using artificial intelligence, particularly deep learning algorithms, in medical diagnostics, revolutionizing healthcare by improving efficiency, accuracy, and patient outcomes. However, the use of artificial intelligence in medical diagnostics comes with the critical need to explain the reasoning behind artificial intelligence‐based predictions and ensure transparency in decision‐making. Explainable artificial intelligence has emerged as a crucial research area to address the need for transparency and interpretability in medical diagnostics. Explainable artificial intelligence techniques aim to provide insights into the decision‐making process of artificial intelligence systems, enabling clinicians to understand the factors the algorithms consider in reaching their predictions. This paper presents a detailed review of saliency‐based (visual) methods, such as class activation methods, which have gained popularity in medical imaging as they provide visual explanations by highlighting the regions of an image most influential in the artificial intelligence's decision. We also present the literature on non‐visual methods, but the focus will be on visual methods. We also use the existing literature to experiment with infrared breast images for detecting breast cancer. Towards the end of this paper, we also propose an "attention guided Grad‐CAM" that enhances the visualizations for explainable artificial intelligence. The existing literature shows that explainable artificial intelligence techniques are not explored in the context of infrared medical images and opens up a wide range of opportunities for further research to make clinical thermography into assistive technology for the medical community. [ABSTRACT FROM AUTHOR]

The inability to see makes moving around very difficult for visually impaired persons. Due to their limited movement, they also struggle to protect themselves against moving and non-moving objects. Given the substantial rise in the population of those with vision impairments in recent years, there has been an increasing amount of research devoted to the development of assistive technologies. This review paper highlights the state-of-the-art assistive technology, tools, and systems for improving the daily lives of visually impaired people. Multi-modal mobility assistance solutions are also evaluated for both indoor and outdoor environments. Lastly, an analysis of several approaches is also provided, along with recommendations for the future. [ABSTRACT FROM AUTHOR]

While the needs and care for children on the autism spectrum have been widely investigated, the intervention and services available to autistic adults have been overlooked for a long time. This survey paper reviewed 32 articles that described and evaluated assistive technologies that have been developed and evaluated through a complete circle of interactive product design from ideation, prototype, and user evaluation. These assistive technologies aim to improve independence and living quality in autistic adults. We extracted information from the perspective of requirement gathering, technology designing, and effectiveness of evaluation in the design cycle. We found a general lack of requirements-driven design, and the evaluation process was not standardized either. The lack of requirement gathering results in designs purely based on existing literature without targeting actual user needs. Our synthesis of included paper contributes to developing iterative design considerations in assistive technologies for autistic adults. We also suggest that assistive technologies for autistic adults shift some attention from assisting only autistic adults who require at least substantial support to embracing also those who have been living independently but rather have difficulties in social interaction. Assistive technologies for them have the potentials to help them consolidate and enhance their experiences in independent living. [ABSTRACT FROM AUTHOR]

People with blindness and low vision (pBLV) encounter substantial challenges when it comes to comprehensive scene recognition and precise object identification in unfamiliar environments. Additionally, due to the vision loss, pBLV have difficulty in accessing and identifying potential tripping hazards independently. Previous assistive technologies for the visually impaired often struggle in real-world scenarios due to the need for constant training and lack of robustness, which limits their effectiveness, especially in dynamic and unfamiliar environments, where accurate and efficient perception is crucial. Therefore, we frame our research question in this paper as: How can we assist pBLV in recognizing scenes, identifying objects, and detecting potential tripping hazards in unfamiliar environments, where existing assistive technologies often falter due to their lack of robustness? We hypothesize that by leveraging large pretrained foundation models and prompt engineering, we can create a system that effectively addresses the challenges faced by pBLV in unfamiliar environments. Motivated by the prevalence of large pretrained foundation models, particularly in assistive robotics applications, due to their accurate perception and robust contextual understanding in real-world scenarios induced by extensive pretraining, we present a pioneering approach that leverages foundation models to enhance visual perception for pBLV, offering detailed and comprehensive descriptions of the surrounding environment and providing warnings about potential risks. Specifically, our method begins by leveraging a large-image tagging model (i.e., Recognize Anything Model (RAM)) to identify all common objects present in the captured images. The recognition results and user query are then integrated into a prompt, tailored specifically for pBLV, using prompt engineering. By combining the prompt and input image, a vision-language foundation model (i.e., InstructBLIP) generates detailed and comprehensive descriptions of the environment and identifies potential risks in the environment by analyzing environmental objects and scenic landmarks, relevant to the prompt. We evaluate our approach through experiments conducted on both indoor and outdoor datasets. Our results demonstrate that our method can recognize objects accurately and provide insightful descriptions and analysis of the environment for pBLV. [ABSTRACT FROM AUTHOR]

A lack of access to learning opportunities is among the main reasons for social exclusion of people with cognitive disabilities in the professional field. It has been accentuated in the last few years by the rapid development of online learning strategies that limit the physical presence of students and instructors. Personalized systems can help overcome access barriers in learning for people with disabilities by helping them learn autonomously without the direct intervention of tutors. However, despite the wide range of research initiatives in this area to deal with individual differences, learners with cognitive disabilities still suffer from a lack of consideration of their conditions. Indeed, most e-learning platforms have been designed without taking into account users with multiple profiles and impairments. This paper systematically reviewed papers to provide insights about personalization within e-learning systems. We highlight personalization goals and approaches and review whether they improve learning accessibility and outcomes. The objective is to discuss the strengths and weaknesses of current research and suggest some opportunities to improve research in personalized e-learning systems for people with cognitive disabilities. [ABSTRACT FROM AUTHOR]

Introduction: Individuals with Parkinson's Disease commonly experience both physical and psychological effects, which subsequently affect their ability to perform daily activities and overall wellbeing. MusicGlove is an emerging adjunct proposed to address the motor issues but also the psychological ones with references to improving motivation and participation in individuals with Parkinson's Disease. Aim: To determine the effectiveness of the MusicGlove on hand dexterity and the psychological response in individuals with Parkinson's disease. Materials and Methods: A quasi-experimental study was performed on 40 individuals with Parkinson disease January 2021 to June 2021 from local community settings in Chengalpattu district, Tamil Nadu, India. They were recruited and divided into a control group (n=20) and experimental group (n=20). Hand dexterity and psychological responses were assessed using the Box and Block Test (BBT), Beck's Depression Inventory (BDI), and Apathy Inventory (AI) as pre and post-test measures. Both groups received conventional occupational therapy for three weeks in total, and in addition to this, the experimental group received the MusicGlove. The control group included muscle stretching and strengthening activities with therapeutic putty and using activities such as connecting circles where the subject is given a sheet of paper with 25 circles, each containing 25 numbers or letters. They were asked to connect these in ascending, alternating numerical, and alphabetical order. Sessions were conducted for 30 minutes with two sets of repetitions. Descriptive statistics were used to examine data using the Statistical Package for Social Sciences (SPSS) version 24.0. Results: The study results revealed that there was no statistically significant difference found between the groups but clinically significant differences were found between the groups with posttest scores on motor symptoms that were measured by BBT: µ=- 1.2534, p=0.211 (BBT Dominant); µ=-0.9400, p-value=0.3472 (BBT Non Dominant), and psychological symptoms that were measured by BDI; (µ=-1.0445, p-value=0.2983) and AI; (µ=- 1.0445, p-value=0.9203). Conclusion: The study concluded that conventional occupational therapy along with MusicGlove was effective in improving hand dexterity and psychological responses in Parkinson's disease patients. Also, further study needs to be conducted to warrant its long-term impact of intervention on hand dexterity and psychological responses. [ABSTRACT FROM AUTHOR]

Background: Stroke profoundly affects quality of life (QOL), including loss of employment, reduced social activity, shrinking social networks and low mood. Dysgraphia (impaired writing) is a common symptom of aphasia yet is rarely targeted in rehabilitation. Recent technological advances might challenge this, since much communication is now conducted digitally through writing. The rehabilitation of writing may therefore help to address the wider consequences of stroke and aphasia. Aims: Can assistive technology (AT) training for people with dysgraphia: (1) improve written output, and are gains achieved only with AT? (2) improve reading comprehension scores, and are gains achieved only with AT? and (3) affect social participation, mood or QOL Methods and Procedures: Design A mixed‐methods, repeated measures, small group study design was adopted (qualitative outcomes will be reported elsewhere). Participants: Recruited from community settings, for example, Stroke Association communication support groups. Inclusion criteria: over 18 years old, aphasia due to stroke, acquired dysgraphia, writing more impaired than speech, fluent English prior to stroke, access to computer and Internet. Exclusion criteria: currently receiving speech and language therapy, significant cognitive impairment, neuromuscular/motor‐speech impairments/structural abnormalities, developmental dyslexia, uncorrected visual/auditory impairments. Procedures: Screening and diagnostic assessments at time T1 (first baseline). Outcome measures at T1; repeated at T2 (second baseline), T3 (end of intervention), T4 (3‐month follow up). Social participation assessment and cognitive monitoring at T2, T3, T4. Intervention: Seven–ten hours individual therapy weekly and additional email support. Participants were trained to operate Dragon NaturallySpeaking (speech to text package) and ClaroRead (read writing aloud). Outcome measures were administered on pen and paper (control) and on computer, with AT enabled only at T3, T4. Outcomes and Results: Computer narrative writing was significantly improved by AT training (Friedman's χ2 (3) = 8.27, p = 0.041), indicating a compensatory effect of AT. Though reading comprehension significantly improved in the computer condition (Friedman's χ2 (3) = 21.07, p = 0.001), gains could not be attributed to the AT. Gains were achieved only when measures were administered on the keyboard, with AT enabled. Thus, a compensatory rather than remediatory effect was suggested. Social network size significantly increased; there were no significant changes in mood/QOL. Individual success rates varied. Conclusion and Implications: The customisable AT training was acceptable to participants and resulted in significantly improved narrative writing. Compensatory AT interventions are a useful adjunct to remediatory writing interventions and may particularly support functional writing. WHAT THIS PAPER ADDS: What is already known on this subject: Writing is rarely spared in aphasia and may present as the most impaired communication modality. Yet, people with aphasia report that writing is seldom included in their rehabilitation. Many communication activities are now conducted digitally through writing, therefore rehabilitation of this is more important than ever before. This study sought to address whether an assistive technology (AT) software package can improve writing and whether any changes were compensatory or remediatory. What this study adds to existing knowledge: This group study found that AT training led to gains in written discourse and social network in people with aphasia and dysgraphia. Gains were not replicated in handwritten tasks, suggesting this was a compensatory therapeutic approach. What are the clinical implications of this work?: AT programs such as this may present speech and language therapists with a practical, pragmatic adjunct to writing or typing therapy, particularly for clients with chronic, intractable impairments for whom remediatory therapy may have a low chance of success. [ABSTRACT FROM AUTHOR]

With the global geriatric population expected to reach 1.5 billion by 2050, different assistive technologies have been developed to tackle age-associated movement impairments. Lower-limb robotic exoskeletons have the potential to support frail older adults while promoting activities of daily living, but the need for crutches may be challenging for this population. Crutches aid safety and stability, but moving in an exoskeleton with them can be unnatural to human movements, and coordination can be difficult. Frail older adultsmay not have the sufficient arm strength to use them, or prolonged usage can lead to upper limb joint deterioration. The research presented in this paper makes a contribution to a more detailed study of crutch-less exoskeleton use, analyzing in particular the most challenging motion, sit-to-stand (STS). It combines motion capture and optimal control approaches to evaluate and compare the STS dynamics with the TWIN exoskeleton with and without crutches. The results show trajectories that are significantly faster than the exoskeleton's default trajectory, and identify the motor torques needed for full and partial STS assistance. With the TWIN exoskeleton's existing motors being able to support 112 Nm (hips) and 88 Nm (knees) total, assuming an ideal contribution from the device and user, the older adult would need to contribute a total of 8 Nm (hips) and 50 Nm (knees). For TWIN to provide full STS assistance, it would require new motors that can exert at least 121 Nm (hips) and 140 Nm (knees) total. The presented optimal control approaches can be replicated on other exoskeletons to determine the torques required with their mass distributions. Future improvements are discussed and the results presented lay groundwork for eliminating crutches whenmoving with an exoskeleton. [ABSTRACT FROM AUTHOR]

In this paper, the implementation of a new pupil detection system based on artificial intelligence techniques suitable for real-time and real-word applications is presented. The proposed AI-based pupil detection system uses a classifier implemented with slim-type neural networks, with its classes being defined according to the possible positions of the pupil within the eye image. In order to reduce the complexity of the neural network, a new parallel architecture is used in which two independent classifiers deliver the pupil center coordinates. The training, testing, and validation of the proposed system were performed using almost 40,000 eye images with a resolution of 320 × 240 pixels and coming from 20 different databases, with a high degree of generality. The experimental results show a detection rate of 96.29% at five pixels with a standard deviation of 3.38 pixels for all eye images from all databases and a processing speed of 100 frames/s. These results indicate both high accuracy and high processing speed, and they allow us to use the proposed solution for different real-time applications in variable and non-uniform lighting conditions, in fields such as assistive technology to communicate with neuromotor-disabled patients by using eye typing, in computer gaming, and in the automotive industry for increasing traffic safety by monitoring the driver's cognitive state. [ABSTRACT FROM AUTHOR]

Developing an authentic understanding of potential users' needs and translating these into usable categories as an input to research and development is an open problem. It is generally accepted that genuine knowledge of user needs is essential for the creation of any new technology. For assistive robots, however, this knowledge is even more important for two key reasons. First, because the form and function of these technologies is still in the process of negotiation, and second, because assistive robots are ultimately intended for a vulnerable population. In this paper, we describe a number of existing strategies to address this challenge and discuss some of their shortcomings, including a loss of data richness and context, the stereotyping of users and a lack of transparency and traceability. The primary contribution of this paper is a novel Authentic Citations process for capturing needs which aims to address these shortcomings. This process involves a thematic analysis of complex qualitative data to derive robotics needs for older people, which emphasises the retention of the original situated description, or 'authentic citation', for ongoing sensitising and grounding at all stages of the research and development cycle, and by various stakeholders. The Authentic Citations process adds additional rigour to a process that can be tacit and opaque and can be used by robotics researchers to analyse and translate qualitative research into usable categories. An additional contribution of this paper is an initial outline of a taxonomy of assistive robotics needs for older people, which contributes to improving the understanding of the user as a situated and complex person and can be used as an input to design. [ABSTRACT FROM AUTHOR]

This is the first of two papers summarizing studies reporting on the design of electronic graphic symbol-based augmentative and alternative communication (AAC) systems, to determine the state of the field. The aim of this paper was to provide an overview of the general characteristics of the studies and to describe the features of the systems designed. A scoping review was conducted. A multifaceted search resulted in the identification of 28 studies meeting the selection criteria. Data were extracted relating to four areas of interest, namely (1) the general characteristics of the studies, (2) features of the systems designed, (3) availability of the systems to the public, and (4) the design processes followed. In this paper, findings relating to the first three areas are presented. Most study authors were affiliated to fields of engineering and/or computer science and came from high-income countries. Most studies reported the design of AAC applications loaded onto mobile technology devices. Common system features included customizable vocabulary items, the inclusion of graphic symbols from both established AAC libraries and other sources, a dynamic grid display, and the inclusion of digital and/or synthetic speech output. Few systems were available to the public. Limited justifications for many of the complex design decisions were provided in the studies, possibly due to limited involvement of rehabilitation professionals during the design process. Furthermore, few studies reported on the design of graphic symbol-based AAC systems specifically for middle- and low-income contexts and also for multilingual populations. Complex design decisions about electronic graphic symbol-based augmentative and alternative communication (AAC) systems should be made purposefully and with sufficient justification. Increased collaboration between designers and rehabilitation professionals during the design of electronic graphic symbol-based systems could improve the products. Design of AAC systems for populations residing in low and middle-income contexts and also for multilingual populations are urgently needed. [ABSTRACT FROM AUTHOR]

This is the second of two papers summarizing studies reporting on the design of electronic graphic symbol-based augmentative and alternative communication (AAC) systems. The aim of this paper was to describe the design approaches used and to determine to what extent the principles of human-centred design (HCD) were reflected in the design approaches and processes used. A scoping review was conducted. A multifaceted search resulted in the identification of 28 studies meeting the selection criteria. Data were extracted relating to four areas of interest, namely, (1) the general characteristics of the studies, (2) features of the systems designed, (3) availability of the systems to the public and (4) the design processes followed. In this paper, findings related to the last area are presented. Design approaches were often inconsistently described. User-centred design was mentioned more often than HCD. Even so, various HCD principles were considered in most studies. Notably, stakeholders were involved in the design process in all studies. However, users were not involved in all studies and stakeholder roles were predominantly informative rather than collaborative. Prototype and product evaluations focussed mostly on usability rather than user experience. Although many design teams were multidisciplinary, engineers and computer scientists predominated. There is a need for designers to be more transparent about the type of design approach used to guide the system design and also to clearly report on design approaches and processes used. The application of HCD to the design of graphic symbol-based AAC systems is still limited. Human-centred design approaches can productively guide the design of electronic graphic symbol-based augmentative and alternative communication (AAC) systems. Creative methods are needed to involve stakeholders with complex communication needs in all phases of the design process. Evaluation of electronic graphic symbol-based AAC systems should consider both usability and user experience. [ABSTRACT FROM AUTHOR]

Assistive technologies (AT) perform an important social role, interacting with cultural systems to produce or hinder accessibility to biosocial environments. This interaction profoundly shapes not only how an individual body can be experienced by users but also produce and hinder accessibility to biosocial environments. AT users have historically been viewed through a medical model, which deems them disabled by their impairments and by dominant ableist narratives. Therefore, this paper serves to provide an insight into the importance of ageing with and into AT. This paper aims to investigate polio survivors' and diabetic amputees' experiences of assistive technologies in order to better understand impacts upon narrative and identity. By applying an anthropological and sociological lens, a holistic view of the experiences of polio survivor and amputee AT users is developed. This paper draws on 16 in-depth interviews with polio survivors and diabetic amputees in the United States (US) and Australia, which were analysed using an experience-centered narrative approach. Both projects were approved by ethics boards. All participants provided written consent. Five themes were identified: a) disruption to biographies, which reflected AT impact on how narratives become altered; b) impacts to autonomy, which reflected the importance of regaining previous daily activities; c) re-engaging with community life, which highlighted how AT supported participation in valued activities; d) self-perceptions of assistive technologies, which act in opposition to external perspectives and challenge ableist narratives; and e) an intergenerational comparison of new and older AT users highlights the importance of temporalities. This paper offers new perspectives on ageing with assistive technologies, with a focus on identity and narrative. The importance of this paper is to contribute to the existing literature that demonstrates the cultural implications that arise through embodiment and assistive technologies. The use of assistive technology can help individuals regain function, but the individual circumstances require consideration The use of assistive technology is a complex entanglement of bodies, environments, biographies, and imagined futures. The use of assistive technology can provide participants autonomy over their narratives and assist with maintaining their identities [ABSTRACT FROM AUTHOR]

Deaf-blindness is a type of dual disability wherein visual and auditory capabilities are significantly impaired. Special communication methods have been developed for the deaf-blind community. Yet, these methods require that both people involved have prior knowledge and training to successfully communicate, limiting deaf-blind people's social interactions, particularly in academic settings. This paper describes the development of a device that enables two-way communication between a everely deaf-blind user and a hearing person with no prior knowledge of Braille and no additional intermediaries. A Convolutional Neural Network (CNN) scheme for speech recognition was designed and implemented along with the development of an algorithm capable of developing both textto-speech and Finger-Braille-to-text conversion. Lastly, a system integration via 3D modeling and additive manufacturing was carried out to deliver a functional prototype. The resulting device aims to allow deaf-blind students to send and receive information entirely in finger Braille, using buttons and vibrotactile feedback. In contrast, the hearing tutor receives auditory messages and speaks to reply, making the educational experience as familiar as possible for both parties. Users testing the device achieved an average typing accuracy of over 95% and demonstrated an understanding of commands transmitted through the device's components. [ABSTRACT FROM AUTHOR]

This integrative literature review examined how assistive technology (AT) can help students with visual impairment (VI) in middle primary and secondary schools (aged 11–18 years) engage in learning Mathematics. To collate the relevant findings across studies, an integrative literature review approach was employed and supported by an evidence-based synthesis method. Automatic search phrases were used to find research articles related to the topic in the Google Scholar, Web of Science, Scopus, and Springer Link databases. A total of 628 articles were identified during the initial search of which only 11 were included after putting them under rigorous selection criteria. In addition, a mixed-method appraisal technique (MMAT) was used to examine the methodological quality of the papers that were included. The synthesis result came up with three overarching themes: the availability of AT to support learning mathematics, the usability of AT in mathematics classes, and the role of AT in the inclusion of visually impaired students. The findings based on the results of the 11 academic articles published from 2007 to 2021 revealed that effective engagement of students with VIs in Mathematics instruction is achieved by providing students with VI equitable access to the swiftly evolving AT, addressing issues related to affordability, testing the usability and appropriateness of existing AT and enhancing accessibility of AT for all by breaking the social stigma against students with VI in using AT. It is concluded that easily affordable and accessible assistive technologies with multiple non-visual display formats that enable students with VI to access mathematical symbols, notations, expressions, and tactual contents should be in place to actively engage students with VI in learning mathematics. [ABSTRACT FROM AUTHOR]

Objective: Approximately 20% to 40% of children with hearing loss encounter psychosocial difficulties. This prevalence may be outdated, given the advancements in hearing technology and rehabilitation efforts to enhance the psychosocial well-being of these children. A systematic review of up-to-date literature can help to identify factors that may contribute to the children's psychosocial well-being. Design/Study sample: A systematic review was conducted. Original articles were identified through systematic searches in Embase, Medline, PsychINFO, and Web of Science Core Collection. The quality of the papers was assessed using the Newcastle-Ottawa Quality Assessment Scale and custom Reviewers' Criteria. Results: A search was performed on 20 October 2022. A total of 1561 articles were identified, and 36 were included for review. Critical appraisal led to 24 good to fair quality articles, and 12 poor quality articles. Conclusion: Children with hearing loss have a twofold risk of experiencing psychosocial difficulties compared to normal hearing peers. Estimates for functioning in social interactions, like speech perception (in noise) or language proficiency, have proven to be more adequate predictors for psychosocial difficulties than the degree of hearing loss. Our findings can be useful for identifying children at risk for difficulties and offering them earlier and more elaborate psychological interventions. [ABSTRACT FROM AUTHOR]

Assistive technology (AT) with context-aware computing and artificial intelligence capabilities can be applied to address cognitive and communication impairments experienced by persons with dementia (PwD). This paper aims to provide an overview of current literature regarding some characteristics of intelligent assistive technology devices (IATDs) for cognitive and communicative impairments of PwD. It also aims to identify the areas of impairment addressed by these IATDs. A multi-faceted systematic search strategy yielded records. Predefined criteria were applied for inclusion and data extraction. Thereafter data was thematically analysed and synthesised. This review demonstrates that almost all of the research involving IATDs has focused on cognitive impairments of PwD and has not yet evolved past the conceptual or prototype stages of development. Summaries of commercially available IATDs for PwD and relevant prototypes are provided at the end of this review. This research concluded that IATDs for PwD targeting cognition and communication problems primarily focus on social robots, and that they address cognitive impairments of attention, affect, and social-pragmatic communicative impairments. Future research endeavours concerning AT for PwD should explore collaboration between computer engineering and health practitioners to address the identified gaps. This may contribute to the available information for evidence-based decision making for PwD. [ABSTRACT FROM AUTHOR]

In this paper, we argue that the affective experience that permeates the employment of Assistive Technology (AT) in special needs education is crucial for the integration of AT. "AT integration" generally means the fluid and automatic employment of AT for fulfilling certain tasks. Pritchard et al. (2021) have proposed a more specific conceptualisation of AT integration by saying that AT is integrated when it is part of the user's cognitive character. By discussing their proposal, we argue that the user's affective experience is crucial for AT integration. To better appreciate the relevance of the affective experience in AT integration, we suggest shifting the perspective from the functionalist extended cognition framework, as Pritchard et al. (2021) propose, to affective scaffoldings. In doing so we focus on the feeling of agency as the key experience to consider for understanding what AT does to the agent. We will put forth the hermeneutical tool of "phenomenal transformation" to explain how and why AT as an affective scaffolding can support the fundamental "I can" of the experience. [ABSTRACT FROM AUTHOR]

An assistive intelligence sensor device is a comprehensive solution aimed at improving the mobility and independence of people with visual or hearing impairments. It integrates an array of advanced hardware components including Node MCU and Arduino board for data processing, GPS module with antenna for accurate location tracking, emergency key switch for instant warning activation, and time of flight sensor for accurate obstacle detection. A vibrator for haptic feedback, a Wi-Fi module for seamless connectivity and a display for visual feedback. Additionally, the device includes a laptop with a Python-coded program for real-time object detection using a camera, which helps identify and classify objects in the user's environment. Leveraging the Blynk IoT app, the device facilitates instant communication with caregivers or emergency responders, ensuring peace of mind and timely assistance when needed. Also, apart from detecting nearby obstacles and providing haptic feedback, the device uses a GPS module to live track the user's location, ensuring safety and security during outdoor navigation. The integration of intelligent software algorithms further enhances the functionality of the device, enabling it to adapt to various environments and user needs. This manuscript provides a comprehensive overview of the device's design, functionality, and potential applications to improve the quality of life of individuals with disabilities. By integrating state-of-the-art hardware components with intelligent software solutions, the Assistive Intelligence sensor device represents a significant advance in assistive technology, empowering users to navigate their surroundings with confidence and independence. [ABSTRACT FROM AUTHOR]

Exoskeleton can assist individuals with spinal cord injuries (SCI) with simple movements and transform their lives by enhancing strength and mobility. Nonetheless, the current utilization outside of rehabilitation contexts is limited. To promote the widespread adoption of exoskeletons, it is crucial to consider the acceptance of these devices for both rehabilitation and functional purposes. This systematic review aims to identify the barriers or facilitators of the use of lower limbs exoskeletons, thereby providing strategies to improve interventions and increase the adoption of these devices. A comprehensive search was conducted in EMBASE, Web of Science, Scopus, Cochrane, and PubMed. Studies reporting barriers and facilitators of exoskeleton use were included. The studies' quality was assessed using the Mixed Methods Appraisal Tool and undertook a thematic content analysis for papers examining the barriers and facilitators. Fifteen articles met the inclusion criteria. These revealed various factors that impact the utilization of exoskeletons. Factors like age, engagement in an active lifestyle, and motivation were identified as facilitators, while fear of falling and unfulfilled expectations were recognized as barriers. Physical aspects such as fatigue, neuropathic discomfort, and specific health conditions were found to be barriers. This systematic review provides a comprehensive overview of the barriers and facilitators to the use of exoskeleton technology. There are therefore still challenges to be faced, efforts must be made to improve its design, functionality, and accessibility. By addressing these barriers, exoskeletons can significantly improve the quality of life of people with SCI. Optimize the use of this technology to adapt as much as possible to individual needs. Offer an in-depth understanding of the challenges that can arise when adopting exoskeletons. Highlight the critical issues with the device, that prevent me from using it outside of clinical contexts. Offer useful information to therapists to select the most suitable patients for the use of the exoskeleton and to customize rehabilitation programs more effectively. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to explore 10-year trends in the use of Assistive Technology (AT). Using 2006 and 2015 Behavioral Risk Factor Surveillance System (BRFSS) data, univariate analysis were performed, and the rate of change was calculated. In both 2006 and 2015 data, a higher per cent of Blacks were using AT compared to Whites and Hispanics (p <.001); however, the rate of increase indicate that Blacks had the lowest per cent change (23.9%) compared to Whites (26.8%) and Hispanics (27.3%). Results indicated that AT use is statistically more prevalent in women, individuals who are not married (e.g. divorce, widowed, separated), the veteran population, lower educational attainment levels (e.g. some high school or less), lower income levels, the ageing population, unemployed (e.g. out of work, retired, unable to work) and individuals with limited functioning because of a disability. Similarly, individuals who have healthcare coverage, and individuals with concerns with medical costs used AT more. Even though most factors yielded higher utilisation rates when comparing 2006 to 2015 data, the rate of change had varying 'speeds' of improvement. [ABSTRACT FROM AUTHOR]

This paper is aiming to present two studies investigating attitudes of older people towards different technologies to break their social isolation and investigating the impacts of Immersive Virtual Reality (IVR) on physical and mental dimensions. The first study, based on focus groups conducted with 23 older people (aged from 65 to 93 years-old) allowed to collect attitudes and opinions of older people about different technologies to help them to break social isolation. The second study, based on an experiment conducted with 42 older people (aged from 63 to 85 years-old) allowed to investigate the impact of a specific Immersive Virtual Reality (IVR) on physical and mental dimensions. The first study confirm that Immersive Virtual Reality (IVR) can be a relevant digital tool for elderly people according to them, i.e. a digital tool perceived as useful, usable and acceptable. The second study demonstrates that use of a specific Immersive Virtual Reality (IVR) system can reduce the perception of social isolation and can have positive impacts on physical dimensions such as the weight and the waist circumference. Theoretical and applied implications are discussed. [ABSTRACT FROM AUTHOR]

Background: Older adults with hearing loss struggle to communicate with care providers and experience higher mortality rates when hospitalized (Genther et al., 2015), even after controlling for age and comorbidities. Personal hearing amplifiers (PHAs), (e.g., Pocketalkers™), can improve communication with older patients. Methods: We conducted a scoping review to identify research gaps and summarize findings on the clinical use of PHAs with patients with hearing loss. After refining search terms relating to hearing loss and PHAs, we searched MEDLINE, Embase, PsycINFO, Cochrane Library, CINAHL Complete, Web of Science Core Collection, ERIC (Proquest), PubMed, ClinicalTrials.gov, International Clinical Trials Registry Platform, and the International Standard Randomised Controlled Trial Number Registry. We identified articles published in English between 1980 and 2022 that reported empirical outcomes relating to PHA use in clinical settings. Two reviewers independently extracted data from articles. We then organized data into an evidence map, and a narrative review summarizing outcomes. Results: From 4234 initially identified titles and abstracts, 12 met our criteria as full texts. These included three surveys on clinicians' awareness and use of PHAs, one evaluation of the acoustic output of a PHA, and eight interventions wherein PHAs were provided to patients with hearing loss. These papers used 10 different terms for PHAs and largely did not cite one another. Results showed high levels of satisfaction with PHAs, and consistently improved speech understanding. Despite this, care providers used devices inconsistently, with challenges around provider awareness, and device maintenance and location tracking. Conclusions: PHAs have a consistent positive effect on patients' ability to understand their care providers despite hearing loss. Barriers and facilitators to their use in clinical settings should be further explored. [ABSTRACT FROM AUTHOR]

According to the World Health Organization (WHO), visual impairment is one of the most common problems affecting approximately one sixth of the world's population. It was found that 39 million of these sufferers have lost their vision completely and require supervision from other people to do their daily chores. Until today, several methodologies have been built to provide effective solutions to visually challenged people, mainly in terms of navigation. The assistive technologies developed for the visually challenged are generally very popular due to the benefits provided, but these technologies are limited in many aspects. One of the main problems with the technologies is that they are non-adaptable and cannot adjust to the changing needs of the participants. The demands of blind people are constantly growing, and there is no powerful technology that can meet all of these demands at the same time. The major constraints with assistive technologies are cost-effectiveness and user-friendliness. This paper presents a complete review of the assistive technologies introduced in the literature to deal with the navigation problems of blind people. Each and every literature work focuses on the requirements of the blind, and several features are considered accordingly. Thus, the presented review provides a detailed description of the evolution of such assistive technologies and the improvements brought in to satisfy the users. Apart from this, the complexities and limitations associated with the technologies are also unwounded to provide a clear perspective on the current scenario for future developers and researchers. Several constraints associated with different assistive technology are interpreted, and this review ends with the insights drawn from the study along with future scopes. [ABSTRACT FROM AUTHOR]