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Firms are beginning to use chatbots to collect information from users (e.g., online reviews), a task traditionally done through forms. We used two experiments to investigate how collecting reviews using chatbots in place of forms might impact user experience and, in turn, alter the nature of the reviews submitted by users. Study 1 compares chatbots to web forms, finding that chatbots may improve perceived efficiency but otherwise have no discernible effect on satisfaction and usage intention. At the same time, chatbot usage results in shorter, lower-quality reviews. While structured templates enhance form-based reviews, introducing structure to chatbot interactions does not positively impact satisfaction and usage intent, potentially making the process less efficient. Nonetheless, a structured chatbot approach yields longer reviews and mitigates declines in quality. Adding structure to a chatbot takes the chat out of the chatbot, turning the interaction from casual conversation to a formal process, as demonstrated in Study 2. Hence, while this structured approach for chatbots improves review quality without harming satisfaction and usage intent, it may not be the most effective method for enhancing the reviewer experience. Our research shows that the chatbot and structure pulled users towards contradicting genre rules (the social structures that guide technology use) and triggered users to subconsciously enact distinctly different thought patterns as they composed reviews. [ABSTRACT FROM AUTHOR]

Institutions in the GLAM (galleries, libraries, archives, and museums) sector serve the public as institutions for cultural heritage, identity, education, experience, and leisure. The goals of these institutions are becoming more closely aligned and they have shared a turn from being collection-centred to a focus on users and visitors. When these institutions also face similar challenges brought on especially by digitalization, there is increasing discourse in scholarly literature and among GLAM professionals about the drivers, impacts and opportunities of convergence for the sector. There remains however, scant empirical examination of user/visitor perception and experience of such convergence. This research addresses this knowledge gap and investigates a converged GLAM case institution, Te Ara 'Atea in New Zealand through a user/visitor survey. The survey findings suggest that users/visitors perceive and experience fewer issues with convergence relative to benefits. A novel insight from this research is that the concept of GLAM convergence can positively contribute to cultural and community wellbeing. As for perceived issue within the convergence space, of particular interest is the concept of unsanctioned touch of displayed objects/artworks, and the alleged unclear behavioral norms in converged environments. The findings also point to further considerations and implications regarding GLAM disciplinary boundaries. [ABSTRACT FROM AUTHOR]

Assistance systems have been widely adopted in the manufacturing sector to facilitate various processes and tasks in production environments. However, existing systems are mostly equipped with rigid functional logic and do not provide individual user experiences or adapt to their capabilities. This work integrates human factors in assistance systems by adjusting the hardware and instruction presented to the workers' cognitive and physical demands. A modular system architecture is designed accordingly, which allows a flexible component exchange according to the user and the work task. Gamification, the use of game elements in non-gaming contexts, has been further adopted in this work to provide level-based instructions and personalised feedback. The developed framework is validated by applying it to a manual workstation for industrial assembly routines. [ABSTRACT FROM AUTHOR]

Cross reality laboratories are widely used in education, yet research on the usability/user experience (UX) of these laboratories is still lacking. This study wants to start the discussion about challenges for usability/UX by interviewing practitioners from a large project for cross reality laboratories spanning multiple institutes in Germany. A total of 18 challenges were discovered, together with three target groups, namely, developers, maintainers, and learners. In addition, the tension between developers and usability is discussed. Open questions include the need to conduct further research with different target groups and how to increase usability for laboratory developers. [ABSTRACT FROM AUTHOR]

Critiquing—where users propose directional preferences to attribute values—has historically been a highly popular method for conversational recommendation. However, with the growing size of catalogs and item attributes, it becomes increasingly difficult and time-consuming to express all of one's constraints and preferences in the form of critiquing. It is found to be even more confusing in case of critiquing failures: when the system returns no matching items in response to user critiques. To this end, it would seem important to combine a critiquing-based conversational system with a personalized recommendation component to capture implicit user preferences and thus reduce the user's burden of providing explicit critiques. To examine the impact of such personalization on critiquing, this article reports on a user study with 228 participants to understand user critiquing behavior for two different recommendation algorithms: (i) non-personalized, that recommends any item consistent with the user critiques; and (ii) personalized, which leverages a user's past preferences on top of user critiques. In the study, we ask users to find a restaurant that they think is the most suitable to a given scenario by critiquing the recommended restaurants at each round of the conversation on the dimensions of price, cuisine, category, and distance. We observe that the non-personalized recommender leads to more critiquing interactions, more severe critiquing failures, overall more time for users to express their preferences, and longer dialogs to find their item of interest. We also observe that non-personalized users were less satisfied with the system's performance. They find its recommendations less relevant, more unexpected, and somewhat equally diverse and surprising than those of personalized ones. The results of our user study highlight an imperative for further research on the integration of the two complementary components of personalization and critiquing to achieve the best overall user experience in future critiquing-based conversational recommender systems. [ABSTRACT FROM AUTHOR]

G networks can offer network slices customized according to the demands of the services to enhance the quality of their users' experience. The time for selecting an appropriate network slice to facilitate traffic flow between users and services by the core network functions in 5G networks is crucial for services such as emergency service and ultra-reliable low latency services. Therefore, we propose a distributed slice selection architecture for 5G and beyond networks to reduce the waiting time for starting services for users. The proposed architecture distributes slice selection function (SSF) to the edge of the network. The networks have to ensure stealthy slice selection attack (S3 attack) free operation, as moving the SSF to the edge increases attack surface. Attackers can launch S3 attack by manipulating the slice selection decisions of SSFs distributed in the network edge. The S3 attacker intentionally maps service requests from users to inappropriate network slices to damage cloud radio access network utilization and the quality of experience of users. In this article, we also present a countermeasure to tackle the S3 attack using a novel protocol called VACCINE (verifiable privacy-preserving protocol for slice selection in 5G and beyond networks). VACCINE also ensures privacy-preserving slice selection by the SSFs to prevent traffic analysis attacks. We prove the chosen-ciphertext attack security strength of VACCINE and also compare the computational cost of VACCINE with other related protocols. [ABSTRACT FROM AUTHOR]

This article examines the experiences of female users of imageboards – online anonymous-by-default bulletin boards. Using thematic analysis on 12 Instant Messaging (IM)–based interviews with female-identifying imageboard users, this study gathers and presents their experiences and perceptions of benefits and drawbacks of use. Major findings include negative perception of mainstream imageboards and a contrastingly positive sentiment towards the platforms investigated as part of this study. Using imageboards represented a unique, entertaining and social experience. Interviewees predominantly used imageboards to be hyperbolic, 'vent', discuss sexuality or explore thoughts they otherwise would not. The study's findings question previous narratives of women on imageboards which position them either as mostly unaffected members of the space or as out-of-place minorities 'getting by' – by virtue of using masculinist strategies. Rather, participants describe ambivalent experiences around navigating these spaces, including benefits of entertainment, sense of belonging and the affinity towards gendered self-experimentation. [ABSTRACT FROM AUTHOR]

Drawing on the story of Aginic and its educational analytics platform edPortal, this teaching case study examines how applying agile methods and design thinking to analytics has helped unlock significant value for Aginic, its clients and the education sector overall. It describes key factors driving the successful integration of agile values and design approaches, allowing students to gain a deep understanding on how such integration can facilitate the development of innovative data analytics products. [ABSTRACT FROM AUTHOR]

In today's fast-paced lifestyle, streaming movies and series on platforms like Netflix is a valued recreational activity. However, users often spend considerable time searching for the right content and receive irrelevant recommendations, particularly when facing the "cold start problem" for new users. This challenge arises from existing recommender systems relying on factors like casting, title, and genre, using term frequency-inverse document frequency (TF-IDF) for vectorization, which prioritizes word frequency over semantic meaning. To address this, an innovative recommender system considering not only casting, title, and genre but also the short description of movies or shows is proposed in this study. Leveraging Word2Vec embedding for semantic relationships, this system offers recommendations aligning better with user preferences. Evaluation metrics including precision, mean average precision (MAP), discounted cumulative gain (DCG), and ideal cumulative gain (IDCG) demonstrate the system's effectiveness, achieving a normalized DCG (NDCG)@10 of 0.956. A/B testing shows an improved click-through rate (CTR) of recommendations, showcasing enhanced streaming experience. [ABSTRACT FROM AUTHOR]

Information Architecture (IA) organises digital content ranging from web interfaces to ATM screens and car dashboards. Beyond structure, it encompasses the labelling and organisation of information within each interface. Presented through mind maps, IA is essential in both academic and professional environments. In complex products such as social networks, multiple IA patterns are employed simultaneously. This research introduces IA to Applied Communication Sciences, highlighting its significance for enhancing user experience in social networks. The study identifies standard patterns and new types of mental maps for digital creation. [ABSTRACT FROM AUTHOR]

Telemedicine systems, while overcoming physical space constraints, often lack personalized interactions. By incorporating a push service and leveraging prediction-oriented algorithms, these systems can offer an improved user experience. Such enhancements enable timely treatment options and reduce unnecessary resource usage in on-site outpatient clinics. This research work starts by creating a robust algorithm using data mining techniques. Next, it establishes the foundation for a telemedicine push service. The service includes essential modules for disease differentiation, doctor recommendations, and diagnosis predictions. To optimize these modules, a merged algorithm combining k-nearest neighbor classification, nearest neighbor recommendation, and FP-growth is needed. This work aims to enhance treatment options for patients and streamline resource usage in on-site outpatient clinics. Moreover, this work has carried out empirical research for identification of algorithm by using available data at a public Chinese telemedicine system. The results of data analysis show the follows: 1. For disease diagnosis, the KNN model (k=1) is more accurate but less efficient, SVM and LibSVM are more efficient but less accurate than the KNN model; 2. In terms of doctor recommendation, nearest neighbor recommendation performs better but is not as efficient as matrix factorization; 3. in diagnostic prediction, the combination of introducing association mining and data segmentation can play a better role. The developed algorithm and its conclusions from this study could make easier and more efficient to provide treatment options for undecided-condition patients. [ABSTRACT FROM AUTHOR]

Electric two-wheelers (ETWs) have emerged as a dominant choice over traditional counterparts in global consumer markets, prompting a shift in consumer behaviour. While existing research has delved into the adoption of ETWs, there remains a notable gap in understanding the intricate factors driving consumer adoption, particularly their inclination toward innovation. This study investigates the landscape of ETWs in India, focusing on facilitating conditions, pricing dynamics, personal innovativeness, and behavioral intentions. Utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, 220 Indian ETW users were surveyed to elucidate the interplay between facilitating conditions, price, and behavioral intentions, mediated by personal innovativeness. The findings underscore the significant impact of facilitating conditions and price on behavioral intentions, with personal innovativeness serving as a pivotal mediator in this relationship. Moreover, this study underscores the importance for ETW businesses to prioritize user-friendly designs, ensuring a seamless and enjoyable experience for consumers. Furthermore, targeting highly innovative consumers emerges as a strategic imperative for businesses in devising effective marketing strategies. By shedding light on facilitating conditions, price dynamics, personal innovation, and behavioral intentions, this study contributes valuable insights to the existing literature. In terms of environmental sustainability, the scalability of electric twowheelers contributes to reducing greenhouse gas emissions and mitigating air pollution in urban areas. As more individuals switch from gasoline-powered vehicles to electric two-wheelers, the collective impact on reducing carbon emissions and improving air quality becomes increasingly significant, especially in densely populated regions where transportation-related pollution is a major concern. Additionally, it offers a nuanced understanding of the mediating role of personal innovation in the context of ETWs, thereby informing future research and strategic initiatives in the field of electric mobility. [ABSTRACT FROM AUTHOR]

With the development of artificial intelligence technology, users are increasingly inclined to use conversational agents (CAs) as personal assistants. Communication speed has received much attention as a key medium for content, emotion and attitude expression in interpersonal communication. This study investigates the effect of the rate of speech on users' subjective evaluation of using a CA, as well as users' rate of speech preferences and their scenario difference. We used a 3 (CAs' speed: slow, medium, and fast) × 2 (participants' gender: male and female) mixed design with three types of users' rate of speech and collected data on subjective evaluations, forced choice, and interviews from 25 participants. The results of this study showed that with increasing user rate of speech, users preferred the feedback speed of CAs to increase. Also, the majority of users preferred CAs to respond using medium speed. Gender differences were also found in feedback speed preference. The results of this study can be used to propose a new paradigm in the field of mobile interaction by introducing the theory of communication adaptation to the problem of feedback speed adjustment in conversational agents and exploring the role of speed in mobile interaction. [ABSTRACT FROM AUTHOR]

The dizzying technological advance has permeated all areas, including gastronomy. In this context, the development and implementation of a multiplatform mobile application has generated a significant impact in this sector. This article explores how this technological innovation has transformed the operational and commercial dynamics of gastronomy, using the neutrosophic PEST-SWOT approach. Through detailed analysis, political, economic, social and technological (PEST) factors are examined and combined with an exhaustive study of strengths, weaknesses, opportunities and threats (SWOT) from a neutrosophic perspective, revealing the complexity and dynamism inherent in this interaction. Neutrosophic analysis allows for a deep understanding of the uncertainties and ambiguities surrounding the implementation of mobile applications in gastronomy, offering a holistic and nuanced view. The findings show that while there are significant challenges, such as adapting to rapid technological changes and data management, there are also vast opportunities to improve operational efficiency and user experience. This study highlights the importance of an adaptive strategy that is aware of the multiple dimensions of the dining environment, suggesting that success lies in the ability to navigate and balance these complex forces. [ABSTRACT FROM AUTHOR]

This study aims to identify an appropriate conceptual framework to evaluate crowdsourcing platforms from an open innovation perspective employing a combination of qualitative and quantitative methods. The initial indices of the performance evaluation framework in the crowdsourcing platforms are obtained through the Delphi method and interviews with experts. Then, using these factors, a statistical questionnaire is designed and distributed among users of crowdsourcing platforms to confirm or reject the factors. Finally, the aspects of the performance evaluation framework of crowdsourcing platforms are specified from the perspective of open innovation. Using fuzzy hierarchical analysis, these aspects are prioritized in order of importance: Collaboration, Project design, Moderation, Terms and conditions, UI/UX (user interface and user experience), and Key statistics. Concerning the principle of crowdsourcing, which is based on crowd participation and crowd intelligence of users, Collaboration and Project design turned out to be the significant factors in evaluating a crowdsourcing platform. [ABSTRACT FROM AUTHOR]

Gaze-adaptive interfaces can enable intuitive hands-free augmented reality (AR) interaction but unintentional selection (i.e. "Midas Touch") can have serious consequences during high-stakes real-world AR use. In the present study, we assessed how simulated gaze-adaptive AR interfaces, implementing single and dual gaze inputs, influence Soldiers' human performance and user experience (UX) in a fast-paced virtual reality marksmanship task. In Experiment 1, we investigated 1- and 2-stage dwell-based interfaces, finding confirmatory dual gaze dwell input effectively reduced Midas Touch but also reduced task performance and UX compared to an always-on (AO) interface. In Experiment 2, we investigated gaze depth-based interfaces, finding similar negative impacts of confirmatory dwell on Midas Touch, task performance, and UX. Overall, compared to the AO interface, single gaze input interfaces (e.g. single dwell or gaze depth threshold) reduced viewing of task-irrelevant information and yielded similar task performance and UX despite being prone to Midas Touch. Broadly, our findings demonstrate that AR users performing fast-paced dynamic tasks can tolerate some unintentional activation of AR displays if reliable and rapid information access is maintained and point to the need to develop and refine gaze depth estimation algorithms and novel gaze depth-based interfaces that provide rapid access to AR display content. [ABSTRACT FROM AUTHOR]

This article explores the emotional responses of users to conversational agents (CAs) and the underlying values that shape these responses. The authors propose a novel integrated representation called "Emotion Value Assessment" (EVA) that allows researchers and practitioners to explore emotional reactions to technology in relation to the values fostered or harmed. The article provides insights into the interaction dynamics and emotional aspects of technology, which can inform product design and development. The authors conducted a qualitative study using interviews and focus groups to collect data on value implications and emotional responses related to Alexa. The results showed that anger-type emotions were most prominent, often related to functionality and usability issues, while joy was associated with comfort and quality of life. Surprise had both positive and negative connotations, and fear was linked to concerns about privacy and autonomy. The text also provides guidance on how to construct and interpret the EVA. The EVA focuses on three perspectives: emotional response, value quality, and value-bearer. The framework aims to provide a more nuanced understanding of user experiences and the impact of technology on human values. The EVA can be used in various stages of system design and development, providing insights into potential value harms and benefits, as well as informing ethical decision-making. However, the EVA has limitations in terms of generalizability and the complexity of analyzing values and emotions. Future research could explore instrumental relationships between different values and include a wider range of subordinate emotions in the analysis. The article suggests that future research should aim for better [Extracted from the article]

Augmented Reality (AR) applications are known for using unconventional devices and enabling different ways to interact with the virtual elements of the environment. Head-mounted displays (HMDs), for example, enrich the user experience by providing greater immersion than other display devices. Most conventional HMDs are expensive or have restrictions, such as a limited field of view, making them inappropriate for many applications. With the increased computational power on mobile, some HMD models integrate conventional smartphones into the equipment. Smartphone-based HMDs have the advantage of being cheaper, so they can decrease the cost of AR systems. In addition, smartphone-based HMDs have the processing power, field of view, and camera quality required for most AR applications. Many applications that can use smartphone-based HMDs use the peripersonal space, distances of up to 1 meter from the user, as a region to interact with the virtual objects of the environment. As it is a specific region, it is essential to evaluate whether the device's limitations affect the performance of any interaction within this space. In this work, we created a system that combines a depth sensor and an HMD device to evaluate whether the user's performance using pinch gestures to interact inside the peripersonal space is uniform when using a smartphone-based HMD in AR applications. The results showed that such equipment is suitable for applications where interaction occurs under these conditions, as the user's performance in similar tasks is not affected when the interaction occurs within the peripersonal space. [ABSTRACT FROM AUTHOR]

Background: Recently, our research team developed an open source and free website called the MEPP website (for the Mirror Effect Plus Protocol) to efficiently provide mirror therapy for patients with facial palsy. Previous studies demonstrated that the first version of the MEPP website improved user experience and likely optimized patients' performance during facial therapy. Nevertheless, compliance was found to be low despite a generally positive opinion of the website, and in light of our earlier findings, MEPP 2.0—a revised and enhanced version of the MEPP 0.1—was created. The purpose of this study was to examine and contrast various factors that help or impede institutional partners of the Quebec health care system from using the MEPP 2.0 website in comparison to its initial version. Methods: Forty-one patients with facial palsy and nineteen clinicians working with this population were enrolled in a within-subject crossover study. For both the MEPP 1.0 and MEPP 2.0, user experience was assessed for all participants. Embodiment was assessed in patients, and factors influencing clinical use were assessed by clinicians. Qualitative comments about their experiences were also gathered. Descriptive statistics and reliability measures were calculated. Differences between the two MEPP versions were assessed using the linear mixed model. Results: Overall, patients appreciated more the MEPP 2.0 (OR = 4.57; p < 0.001), and all clinicians preferred the MEPP 2.0 over the MEPP 1.0. For patients, it seems that facial ownership, as well as possession and control of facial movements, was significantly better with the MEPP 2.0. For clinicians, the MEPP 2.0 specifically allowed them to self-evaluate their intervention and follow up with more objectivity. The use of the MEPP 2.0 was also modulated by what their patients reported. Qualitatively, options to access an Android app and needs for improving the exercises bank were mentioned as hindering factors. Conclusions: The updated version of the MEPP website, the MEPP 2.0, was preferred by our different partners. Trial registration: https://www.isrctn.com/ISRCTN10885397. The trial was registered before the start of the study on the 1st December 2023 [ABSTRACT FROM AUTHOR]

Traditionally, learning among young students has taken place within structured, physical classroom settings. However, the emergence of distance learning has introduced a diverse range of learning methods, including online, hybrid, and blended approaches. When the COVID-19 pandemic led to extended delays in in-person instruction, use of educational technologies such as asynchronous videos and online platforms were deployed to deliver mathematics curricula aligned with the Common Core State Standards (CCSS), though best practices for teaching mathematics asynchronously are not well studied. This study focuses on exploring the effectiveness of a math course on proportional reasoning that was co-designed, developed, and deployed in 5th and 6th grade Orange County classrooms. Examining the learning experience design (LXD) paradigm, this research focuses on discerning its influence on (n = 303) children's engagement during their involvement in an online, video-based math course. LXD is implemented by combining evidence-based pedagogical instructional design with human-centered user experience (UX) design. The study utilized a structural equation model to analyze the relationships between learners' user experiences, situational interest, mind-wandering, and online engagement. The results demonstrated significant direct effects between students' situational interest, user experience, and their level of online engagement. Findings also indicate that students' situational interest and mind-wandering significantly mediate the relationship between their user experiences and online engagement. These results have important theoretical and practical implications for researchers, designers, and instructors. By combining evidenced-based pedagogical learning design with human-centered user experience design, LX designers can promote situational interest, reduce mind-wandering, and increase engagement in elementary mathematics courses conducted in asynchronous online settings. [ABSTRACT FROM AUTHOR]

(1) Background: Public transport has a vital role to play in creating sustainable, accessible societies. Accessible and inclusive, door-to-door public transport systems with low barriers to use benefit everyone, increasing the mobility of citizens and improving independence. As the industry strives towards multi-modal and Mobility as a Service (MaaS) concepts, there is a need to delve deep into the needs and perceptions of transport user's door-to-door journeys to find ways to improve. Accordingly, in order to increase the sustainability of MaaS, improving accessibility and understanding service user perceptions are of utmost importance. However, there is a scarcity of research within national transport services to determine unmet user needs to increase the accessibility and autonomy of door-to-door journeys. This research aims to investigate if it is possible to improve the door-to-door journey experience for public transport travellers, increasing the accessibility and the perception of autonomy via technology, and by doing so, providing a more sustainable alternative to road transport. It focuses on understanding service users of Ireland's National Rail service, Irish Rail, to create key improvements in interactive systems. (2) Methods: The study applies a user-centred mixed-methods methodology using surveys (N = 316) and co-design workshops (four workshops N = 15). The research collected deep insights into the mindsets and needs of service users, showing the potential to improve this door-to-the-door customer journey. Key improvements for interactive systems were outlined. Experience maps were designed, leading to a Conceptual Design for a travel assistant to aid the service user throughout the door-to-door journey. (3) Results: Travellers' autonomy and the sense of freedom they experience can be improved, mainly if their needs across the complete door-to-door customer journey are supported. Highlighted areas for action include information, accessibility, personal security, ticketing, comfort, facilities, and anxiety. (4) Conclusions: This research reiterates the need for national transport and MaaS providers to prioritise service users' perspectives when developing sustainable services. Co-designing is recommended as a means of achieving this. [ABSTRACT FROM AUTHOR]

We replicated and extended previous research to investigate the extent to which perceived ease of use and perceived usefulness account for variation in overall experience, likelihood to recommend, intention to use, and reported usage in a three-month follow-up. Consistent with previous research, we found little effect on structural equation models from varying three measures of perceived ease and two measures of perceived usefulness. All models had statistically significant standardized estimates and squared multiple correlations and had acceptable fit statistics. Despite these manipulations, the models supported a consistent narrative. Both perceived ease and perceived usefulness are important antecedents that either directly or indirectly affect the experiential and intentional outcomes (perceived usefulness somewhat more than perceived ease), with intention to use accounting for 19% of variation in follow-up ratings of usage. These models support UX practitioners by demonstrating the importance of work that improves perceptions of product ease and usefulness and showing that the two-item UX-Lite questionnaire is an effective and efficient measure of perceived ease and usefulness. [ABSTRACT FROM AUTHOR]

Despite its importance, few validated scales exist to measure aesthetics in HCI. One notable exception, the Visual Aesthetics of Websites Inventory (VisAWI), has never been validated in English. Furthermore, the VisAWI contains negatively formulated items, which adversely impact the psychometric quality of survey scales. Consequently, this paper's aim was the development of a positive-item version of the VisAWI, the VisAWI-pos, as a viable alternative to the original scale. Positive alternatives for the negative items of the VisAWI scale were developed and evaluated in a first study (N = 41). Afterward, a pre-registered second study (N = 966) was conducted to validate the VisAWI-pos. In addition, the VisAWI's English version was formally validated for the first time. Results showed that the English VisAWI has comparable psychometric qualities to validated versions in other languages. Furthermore, the VisAWI-pos provided matching results to the original VisAWI while exhibiting equal or improved psychometric quality. [ABSTRACT FROM AUTHOR]

The social dimension of interactive products covers all aspects of our relationships with others that are impacted by owning and using such products. Although social features are making their way into a growing number of interactive products, there is a lack of an evaluation tool to capture the social dimension of the user experience (UX). This study addressed this shortcoming by developing and validating new social scales based on the UEQ + framework. We developed four social scales to encompass various aspects within the social dimension. For scale development, 229 participants rated their UX with products having social aspects. Exploratory factor analysis allowed us to identify four sub-dimensions (Identification, Social interaction, Social stimulation, and Social acceptance), each evaluated with four items. For scale validation, 450 participants evaluated the UX of three product categories, using the new social scales, AttrakDiff, and the six UX dimensions of UEQ+. Results of MANOVA showed that the social scales discriminated the three categories (F (8, 560) = 20.68, p < 0.001, Pillai's trace = 0.456). The four social scales developed in this study can be combined with other UX dimensions of the UEQ + modular framework to provide a comprehensive overview of user interaction with products. [ABSTRACT FROM AUTHOR]

Virtual reality (VR) users experience unwanted symptoms, such as body imbalance, nausea, dizziness, and loss of presence. This study aims to investigate the effects of posture and locomotion on postural stability, cybersickness, and presence in VR environments. Twenty participants played a VR game under different conditions depending on posture (standing and sitting) and locomotion methods (joystick and teleportation), and seven dependent variables (COM, AP displacement, ML displacement, ASL, PSQ, VRSQ, and SOP) were analyzed to observe postural stability, cybersickness, and presence. The results revealed that postural instability increased when the task was performed in the standing posture with the joystick locomotion method compared to other conditions. The AP displacement, ML displacement, and ASL were lower under teleportation conditions. The PSQ scores indicated that postural stability was better in the sitting posture than in the standing posture. The VRSQ score revealed that the sitting with teleportation condition had less cybersickness than the other conditions. The SOP score was the highest in the standing posture with the teleportation condition. This study concludes that a sitting posture with teleportation locomotion can be considered when designing games in which users actively interact with virtual movements. [ABSTRACT FROM AUTHOR]

Mobile cloud computing (MCC) is one of the most visible efforts to take computing technology beyond the use of tools and achieve universal penetration. Mobile and cloud computing are becoming increasingly important in people's daily lives, highlighting the urgent need for new approaches. The motivation of mobile users and the nature of cloud computing make it ideal for developing mobile cloud services. The focus of this paper is on the cognitive, social, and technical motivations that mobile users experience when owning, interacting with, and using mobile devices through MCC. We also explore the moderating role of network externalities between perceived utility of MCC, usage attitudes, and actual use of MCC. The results show that the positive effects of perceived utility and attitudes on mobile cloud computing usage increase gradually with network externalities. This study provides a theoretical basis for academics and practical guidance for service providers to promote MCC. [ABSTRACT FROM AUTHOR]

This study explores the enhancement of Internet of Things (IoT) product design and development through the integration of ethnography and big data analytics. A new model is proposed, recognizing the limitations of existing big data approaches in capturing nuanced and complex user needs. This model combines in-depth analysis of user attitudes with extensive review data from current IoT product users, aiming to uncover a more comprehensive understanding of the user experience beyond typical quantitative insights provided by big data. An IoT product named 'Zipband' has been developed as a practical application of this integrated research methodology. A combination of qualitative and quantitative research methods, including interviews and term frequency–inverse document frequency (TF-IDF) scheme analysis, was utilized to identify diverse user needs and uncover new opportunities for user experience improvement. This research contributes to the field by introducing a data-driven ethnographic approach that has the potential to inspire convergence research in IoT product design and user experience areas. [ABSTRACT FROM AUTHOR]

Successful implementation of remote monitoring of vital signs outside of the hospital setting hinges on addressing three crucial unmet needs: longer-term wear, skin comfort and signal quality. Earlier, we developed a Health Patch research platform that uses self-adhesive dry electrodes to measure vital digital biomarkers. Here, we report on the analytical validation for heart rate, heart rate variability and respiration rate. Study design included n = 25 adult participants with data acquisition during a 30-minute exercise protocol involving rest, squats, slow, and fast cycling. The Shimmer3 ECG Unit and Cosmed K5, were reference devices. Data analysis showed good agreement in heart rate and marginal agreement in respiratory rate, with lower agreement towards higher respiratory rates. The Lin's concordance coefficient was 0.98 for heart rate and 0.56 for respiratory rate. Heart rate variability (RMSSD) had a coefficient of 0.85. Participants generally expressed a positive experience with the technology, with some minor irritation from the medical adhesive. The results highlighted potential of this technology for short-to-medium term clinical use for cardiorespiratory health, due to its reliability, accuracy, and compact design. Such technology could become instrumental for remote monitoring providing healthcare professionals with continuous data, remote assessment and enhancing patient outcomes in cardiorespiratory health management. [ABSTRACT FROM AUTHOR]

The integration of Augmented Reality (AR) into Human–Robot Interaction (HRI) represents a significant advancement in collaborative technologies. This paper provides a comprehensive review of AR applications within HRI with a focus on manufacturing, emphasizing their role in enhancing collaboration, trust, and safety. By aggregating findings from numerous studies, this research highlights key challenges, including the need for improved Situational Awareness, enhanced safety, and more effective communication between humans and robots. A framework developed from the literature is presented, detailing the critical elements of AR necessary for advancing HRI. The framework outlines effective methods for continuously evaluating AR systems for HRI. The framework is supported with the help of two case studies and another ongoing research endeavor presented in this paper. This structured approach focuses on enhancing collaboration and safety, with a strong emphasis on integrating best practices from Human–Computer Interaction (HCI) centered around user experience and design. [ABSTRACT FROM AUTHOR]

In recent years, cultural projects utilizing digital applications and immersive technologies (VR, AR, MR) have grown significantly, enhancing cultural heritage experiences. Research emphasizes the importance of usability, user experience, and accessibility, yet holistic approaches remain underexplored and many projects fail to reach their audience. This article aims to bridge this gap by presenting a complete workflow including systematic requirements analysis, design guidelines, and development solutions based on knowledge extracted from previous relevant projects. The article focuses on virtual museums covering key challenges including compatibility, accessibility, usability, navigation, interaction, computational performance and graphics quality, and provides a design schema for integrating virtual museums into such projects. Following this approach, a number of applications are presented. Their performance with respect to the aforementioned key challenges is evaluated. Users are invited to assess them, providing positive results. To assess the virtual museum's ability to attract a broader audience beyond the usual target group, a group of underserved minorities are also invited to use and evaluate it, generating encouraging outcomes. Concluding, results show that the presented workflow succeeds in yielding high-quality applications for cultural heritage communication and attraction of wider audiences, and outlines directions for further improvements in digitized heritage applications. [ABSTRACT FROM AUTHOR]

Issue Addressed: Australian veterans suffer higher rates of both mental and physical health conditions than civilians, yet many do not seek treatment. Computerised Interventions (CIs) may provide an alternative approach to management, which can overcome some barriers to treatment uptake. We aim to evaluate the scope and quality of CIs designed specifically for Australian veterans and their families. Methods: A manual search of the Department of Veterans' Affairs and other Ex‐service organisation websites was performed to map and describe CIs for Australian veterans and their families, followed by a scoping review of four databases to identify evaluations of relevant CIs. Results: Our search identified 10 CIs specific to Australian veterans and their families. The majority were structured, self‐guided CIs, designed to elicit cognitive/behavioural change that addressed mental health and psychosocial needs during transition. Three evaluations examined previously identified CIs. The results showed mixed reviews from participants and clinicians, in two separate evaluations, regarding user experience, quality and perceived benefit. In addition, positive psychological outcomes, including the reduction of post‐traumatic stress disorder (PTSD) symptoms, were demonstrated for participants of the online intervention. Conclusion: While Australian veteran‐centric online interventions primarily focus on psychological conditions, the prevalent physical health concerns within the veteran population remain unaddressed. Additionally, despite the documented impact of military experience on family members, there is a lack of specific Australian interventions designed for families. Few tools have been formally evaluated, yet show promise as supportive self‐directed resources for veterans with PTSD, and for navigating transition challenges. So What?: Further development of online interventions addressing prevalent physical and family needs, and conduction of comprehensive evaluations are needed to enhance overall quality, accessibility and holistic effectiveness of interventions for the Australian veteran community. [ABSTRACT FROM AUTHOR]

The paper makes a comprehensive comparative analysis of conventional methodologies versus contemporary approaches in the realm of web and media analysis and design. With the advent of digital evolution, traditional techniques have undergone significant transformations, reshaping the methodologies used in web and media analysis and design. By juxtaposing the established practices with emerging innovations, this study elucidates the nuanced differences, strengths, and limitations inherent in each method. Through meticulous examination, the study sheds light on how traditional methods have evolved alongside technological advancements, while also evaluating the efficacy of novel methods in addressing contemporary challenges. By scrutinizing their respective contributions, the study endeavors to unravel the intricate dynamics underlying user behavior and the resultant impact on design outcomes. Moreover, this comparative exploration serves to underscore the importance of understanding the evolving paradigms in web and media analysis and design. By synthesizing insights gleaned from both traditional and modern approaches, researchers and practitioners can obtain valuable perspectives for refining strategies, optimizing user experiences, and driving innovation in design methodologies. In essence, this study serves as a beacon for navigating the complex interplay between tradition and innovation in the ever-evolving landscape of web and media analysis and design, offering valuable insights to propel the field forward in an era defined by rapid digital transformation and evolving user expectations. [ABSTRACT FROM AUTHOR]

Our team developed Conversation Cards for Adolescents© (CCAs), a tool to help adolescents and health care providers (HCPs) communicate and collaboratively set behavior change goals. The objectives of this pilot randomized controlled trial were to test the feasibility, user experience, and preliminary effect of using CCAs with adolescents in primary care, focusing on behavior change and collaborative goal setting among adolescents. From March 2019 to September 2022, adolescents were recruited from the Northeast Community Health Centre (Edmonton, AB). Adolescents were randomized (1:1) to one of two groups: CCA + goal setting (experimental group) or goal setting alone (control group). Data were collected from both groups at baseline and at 3-weeks post-baseline. In total, 31 adolescents completed the trial (terminated early due to COVID-19). The study demonstrated high practicality. Adolescents reported positive user experiences with CCAs, citing attractiveness, clarity, efficiency, and dependability. No group differences were detected for behavior changes at 3-weeks post-baseline (p >.05), although adolescents in the experimental group qualitatively described improved rapport and communication with HCPs. CCAs can be used practically in a primary health care setting to facilitate communication and rapport with adolescents; however, their effect in enabling behavior change should be investigated in a multi-site, larger-scale trial. [ABSTRACT FROM AUTHOR]

Through the case of MUBI, this article inquires into the changing audience habits with the proliferation of video-on-demand services and the discourse of control and choice, increased mobility, and democratic access. Drawing on in-depth interviews with subscribers of MUBI Turkey, this article explores the ways the audience relates to the imagined audience that MUBI assumes, promotes, and celebrates as a cultural gatekeeper and artistic patron/expert; and how, in turn, being a MUBI user becomes a sign of cultural taste. This study argues that even though users appreciate MUBI's limited choice model compared to Netflix, they still experience feelings such as frustration, stress, and inadequacy. These feelings mainly result from MUBI's artistic authority over them, established through the discourse of expertise/artistic patronage and limited-time model. On the other hand, users do not automatically accept the service's expertise. Some are more critical of it than other VOD services (such as Netflix) because they consider watching MUBI a form of 'intellectual labor'. Even though MUBI discursively maintains the long-standing dichotomies of niche-mainstream, arthouse-popular cinema, or high-lowbrow culture, the users experience these dichotomies more complexly according to their multiple subject positions. [ABSTRACT FROM AUTHOR]

Within some religious collectivities, the use of digital media for rituals, gaining religious knowledge and community gatherings may be seen as a challenge to religious identity, thus provoking different attitudes. Drawing on practice theory of Schatzki, we analyse different attitudes to digital practices expressed by members of the Russian Orthodox Church as shaped by their perception of the affordances of digital media and practice normativity. Developing previous studies, we demonstrate that the normative assessment of digital practices becomes significant mainly for developing critical arguments. Approval of digital practices does not depend solely on religious norms, but also on users' experience of leveraging digital media affordances. We show that acceptance and critique are not mutually exclusive, as both types of argument are intertwined. [ABSTRACT FROM AUTHOR]

Background: Remote monitoring systems have the potential to measure symptoms and treatment effects in people with Parkinson's disease (PwP) in the home environment. However, information about user experience and long‐term compliance of such systems in a large group of PwP with relatively severe PD symptoms is lacking. Objective: The aim was to gain insight into user experience and long‐term compliance of a smartwatch (to be worn 24/7) and an online dashboard to report falls and receive feedback of data. Methods: We analyzed the data of the "Bringing Parkinson Care Back Home" study, a 1‐year observational cohort study in 200 PwP with a fall history. User experience, compliance, and reasons for noncompliance were described. Multiple Cox regression models were used to identify determinants of 1‐year compliance. Results: We included 200 PwP (mean age: 69 years, 37% women), of whom 116 (58%) completed the 1‐year study. The main reasons for dropping out of the study were technical problems (61 of 118 reasons). Median wear time of the smartwatch was 17.5 h/day. The online dashboard was used by 77% of participants to report falls. Smartphone possession, shorter disease duration, more severe motor symptoms, and less‐severe freezing and balance problems, but not age and gender, were associated with a higher likelihood of 1‐year compliance. Conclusions: The 1‐year compliance with this specific smartwatch was moderate, and the user experience was generally good, except battery life and data transfer. Future studies can build on these findings by incorporating a smartwatch that is less prone to technical issues. [ABSTRACT FROM AUTHOR]

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This study investigates the design method of integrating design resources and design materials with an explanation of the foundations of cultural psychology. It focuses on the integration of design resources and design materials in product creative design. This article outlines the design process of integrating design resources and design materials based on user centered design (UCD) and develops a design tool named "Context Connector (CC)" using cultural symbols (as design resources) and products empowered by machine learning (as design materials) as examples. Because cultural symbols can affect how people use and perceive things, researchers have been talking a lot lately about how to improve the user experience of machine learning-empowered products. Through the experiment of finding designers to use the design method to complete product creative design, it has been confirmed with the empirical evidence that this method can assist designers, to a certain extent, in fusing cultural symbols and machine learning empowered products more reasonably and innovatively in the design process, improving design efficiency and experience. Finally, this paper analyses the benefits and drawbacks of CC as well as the scope for future research and application of this design method. [ABSTRACT FROM AUTHOR]

The current project investigated the effect of utilizing Virtual Reality (VR) technologies for flight training by comparing user experience, motivation, and self-efficacy when using conventional desktop flight simulation versus VR flight simulation. This research employed a quasi-transfer of training experiment with 48 participants. Findings showed that VR flight simulation could provide a better user experience and generate a higher level of training motivation than traditional training technologies, while maintaining trainees’ perceptions of self-efficacy. This work contributed positive evidence that VR flight simulation has great potential to be an effective means of flight training and provided a foundation for future research to continue exploring the training effects of VR flight simulation. [ABSTRACT FROM AUTHOR]

Introduction: Hybrid closed loop systems are now commercially available for people with type 1 diabetes and are increasingly being adopted into clinical practice. Real-world data reflect both the glycemic and quality of life benefits reported in trials. Areas covered: In this review, we summarize the key clinical efficacy and safety evidence for hybrid closed-loop systems, and the lived experience of users with type 1 diabetes across different age groups and during pregnancy. We comment on recent and emerging advancements addressing performance limitations and user experience, as well as the use of closed-loop systems in other types of diabetes. Expert opinion: Emerging technological developments in closed-loop systems focus on improving performance and increasing automation to further optimize glycemic outcomes and improve quality of life for users. Workforce developments are now urgently required to ensure widespread equitable access to this life-changing technology. Future applications of closed-loop technology are expected to expand into other types of diabetes including type 2 diabetes. [ABSTRACT FROM AUTHOR]

The burgeoning metaverse market, encompassing virtual and augmented reality, gaming, and manufacturing processes, presents a unique domain for studying user behavior. This study delineates a research framework to investigate the antecedents of behavioral intention, bifurcating users into inexperienced and experienced cohorts. Utilizing a cross-sectional survey, empirical data were amassed and analyzed using structural equation modeling, encompassing 372 responses from 131 inexperienced and 241 experienced users. For inexperienced users, the analysis underscored the significant impact of perceived usefulness on both satisfaction and adoption intention, while perceived enjoyment was found to bolster only satisfaction. Innovativeness and satisfaction do not drive adoption intention. Conversely, for experienced users, satisfaction was significantly influenced by perceived ease of use, perceived usefulness, and perceived enjoyment. Continuance intention was positively affected by perceived usefulness, perceived enjoyment, trust, innovativeness, and satisfaction. This research extends valuable insights for both theoretical advancements and practical implementations in the burgeoning metaverse landscape. [ABSTRACT FROM AUTHOR]

With the rapid expansion of the virtual reality (VR) market, user interest in VR games has increased significantly. However, empirical research on the user experience in VR games remains relatively underdeveloped. Despite the growing popularity and commercial success of VR gaming, there is a lack of comprehensive studies analyzing the impact of different aspects of VR games on user satisfaction and engagement. This gap includes insufficient research on the categorization of VR game genres, the identification of user challenges, and variations in user experiences across these genres. Our study aims to fill this gap by analyzing data from the Meta Quest store using K-means clustering and LDA (Latent Dirichlet Allocation) to categorize the representative genres of VR games. By employing text-mining techniques to conduct a detailed analysis of user experience, we effectively elucidate the primary issues and nuanced differences in user responses across various genres. Our findings serve as a valuable reference for researchers aiming to design games that align with VR user expectations. Furthermore, our study provides a foundational dataset for researchers aiming to enhance the user experience in VR games and suggests ways to increase the immersion and enjoyment of VR gameplay. [ABSTRACT FROM AUTHOR]

Diabetes management applications effectively help patients monitor blood glucose levels and adjust diet and exercise plans. However, most diabetes management apps, including the SugarShift application developed in 2023, use generalized designs that often fail to consider the unique cognitive and physiological characteristics of elderly users, thereby impacting their acceptance and usage. This paper proposes an enhancement for the SugarShift application by introducing a mode specifically designed for elderly users. This proposed enhancement aims to directly involve elderly patients so as to meet their needs better through a participatory design approach. A heuristic evaluation conducted with six experts identified 126 usability issues and 179 heuristic violations in the current version, which has led to the recommendation to develop optimization strategies tailored for elderly users. Subsequent usability testing with 28 elderly patients and six experts emphasized the importance of interface simplicity, logical operation, and interaction quality in enhancing user experience. These factors improve usability, facilitate information processing, and reduce cognitive load. Despite the overall usability of SUS scores, significant challenges still need to be addressed in information display, system feedback, and user interaction. Recommendations for future enhancements include simplifying data entry and presentation, improving readability, and providing timely feedback to enhance usability and user satisfaction, ultimately increasing user retention. [ABSTRACT FROM AUTHOR]

In the digital age, personalized recommendation systems have become crucial for information dissemination and user experience. While traditional systems focus on accuracy, they often overlook diversity, novelty, and serendipity. This study introduces an innovative recommendation system model, Time-based Outlier Aware Recommender (TOAR), designed to address the challenges of content homogenization and information bubbles in personalized recommendations. TOAR integrates Neural Matrix Factorization (NeuMF), Bidirectional Long Short-Term Memory Networks (Bi-LSTM), and Mean Shift clustering to enhance recommendation accuracy, novelty, and diversity. The model analyzes temporal dynamics of user behavior and facilitates cross-domain knowledge exchange through feature sharing and transfer learning mechanisms. By incorporating an attention mechanism and unsupervised clustering, TOAR effectively captures important time-series information and ensures recommendation diversity. Experimental results on a news recommendation dataset demonstrate TOAR's superior performance across multiple metrics, including AUC, precision, NDCG, and novelty, compared to traditional and deep learning-based recommendation models. This research provides a foundation for developing more intelligent and personalized recommendation services that balance accuracy with content diversity. [ABSTRACT FROM AUTHOR]

As freshwater supplies decrease, adopting sustainable practices like water- and energy-efficient irrigation is crucial, particularly in resource-constrained regions. Here, farmers often cannot purchase precision irrigation equipment, which achieves high water and energy efficiencies via full automation. Currently, no irrigation methods exist that combine automatic scheduling of events with manual operation of valves, familiar hardware on low-income farms. This work synthesizes functional requirements for a tool that could address efficiency needs while integrating into current manual practices. Then, a design concept for an automatic scheduling and manual operation (AS-MO) human–machine interaction (HMI) that meets these requirements is proposed. Two design stages of the AS-MO HMI were evaluated by farmers and market stakeholders in three countries. Results show that farmers in Kenya and Jordan valued the proposed AS-MO HMI because they could increase efficiency on their farms without the cost or complexity of automatic valves. In Morocco, a possible market was found, but a majority of participants preferred full automation. Interviewees provided feedback on how to improve the tool's design in future iterations. If adopted at scale, the proposed AS-MO tool could increase efficiency on farms that otherwise cannot afford current precision irrigation technology, improving sustainable agriculture worldwide. [ABSTRACT FROM AUTHOR]

Agile software development prioritizes customer satisfaction through the continuous delivery of valuable software. However, integrating user experience (UX) evaluations into agile projects remains a significant challenge. Existing proposals address specific stages that apply UX evaluation methods but do not fully consider UX artifacts or UX events for integrating user experience into agile processes. To address this gap and support teams, we propose FRAMUX-EV, a framework for evaluating UX in agile software development using Scrum. FRAMUX-EV introduces seven UX artifacts: (1) UX evaluation methods, (2) UX design system, (3) UX personas, (4) UX responsibilities and roles, (5) UX evaluation repository, (6) UX backlog, and (7) UX sprint backlog; and four UX events: (1) pre-planning UX meeting, (2) pre-review UX meeting, (3) weekly UX meeting, and (4) weekly user meeting. The first version of the framework was developed using a seven-step methodology with a qualitative approach. A survey of 34 practitioners validated the usefulness and ease of integration of FRAMUX-EV components, yielding positive results. These findings suggest the potential of FRAMUX-EV as an interesting proposal for integrating UX into agile software development. [ABSTRACT FROM AUTHOR]

Virtual reality (VR) technology has made remarkable progress in recent years and will be widely used in the future. As a bridge for information exchanges between users and VR systems, the interaction interface is pivotal for providing users with a good experience and has emerged as a key research focus. In this review, we conducted a comprehensive search of the Web of Science and CNKI databases from 2011 to 2023 to identify articles dedicated to VR interaction interface design. Through a meticulous analysis of 438 articles, this paper offers a substantial contribution to the emerging field of VR interactive interface research, providing an in-depth review of the principal research advancements. This review revealed that the majority of studies are centered on practical case analyses within specific application scenarios, employing empirical evaluation methods to assess objective or subjective metrics. We then concentrated on elucidating the foundational principles of interface design and their evaluation methodologies, providing a reference for future research endeavors. Additionally, the limitations, challenges, and future directions in VR interaction interface design research were discussed, highlighting the need for further research in design evaluation to continuously refine the development of standards and guidelines for VR interactive interface design. According to the findings of this review, there is a necessity to enhance research on information design for multi-channel interactive interfaces. Furthermore, it is essential to focus on the diverse characteristics of users to propose more inclusive design solutions. Adopting interdisciplinary approaches could lead to breakthroughs in the creation of personalized and adaptive VR interaction interfaces. [ABSTRACT FROM AUTHOR]

Background: Heart failure (HF) is responsible for a high number of hospitalizations, caused by a progressive worsening quality of life. Telemedicine allows for better management of patients' complex conditions, improving the care released. However, the risk of remaining at a testing stage often limits the integration of remote care in daily pathways for HF patients. The aim of this study is to outline the steps needed to integrate telemedicine activities into ordinary HF clinic practices. This methodology is applied to observe activities and trend improvements over a 12-month routine phase. Method: Three steps have been defined for an efficient introduction of remote care services in ordinary activities, integrating them with traditional in-person care: (i) introduction of temporary telemedicine projects, (ii) systematization of telemedicine pathways, and (iii) evaluation of monitoring phase. Observational data have been collected from structured interviews to show the rate of telemedicine activities achieved in clinical practice over the last year. Results: The methodology has been proposed in the HF clinic of the Italian hospital ASST Bergamo Est. After an initial testing phase, in which usability and user experience have been tested, four different remote activities were added: (i) telemonitoring for patients with an implantable device, (ii) follow-up televisits, (iii) nursing telephone support, and (iv) high-intensity telesurveillance pathways for patients after an HF acute event. During the last year, 218 telemonitoring pathways, 75 televisits, 500 telephone calls, and nine telesurveillance pathways have been performed. Success rates were high, and patients gave positive feedback. Conclusion: By integrating multiple telemedicine activities, it has been possible to better manage complex patients, keep track of disease progression, and improve their participation in care. [ABSTRACT FROM AUTHOR]

The combination of art market and emerging e-commerce has brought new trade opportunities and has achieved continuous growth in recent years. More and more people, especially young people, are keen to browse art information and buy artwork on the Internet. Therefore, designing an effective method of recommending artworks may not only effectively enhance the user experience in the art market but also benefit the greater transaction growth. The artwork recommendation task in e-commerce has not received much attention. Previous research works often regard the artworks as ordinary pictures and do not take into account the particularity of the artwork. To solve this problem, we modelled the aesthetic features into artwork recommendation and used the attention mechanism to learn user preferences for various features. We proposed a DAAR (Deep Attention Artwork Recommendation) model and used the attention mechanism to model the user's preference weights for different features (including content features, aesthetic features and authors). To verify the validity of the proposed model, we collected data and conducted experiments on a real artwork community website. The experimental results show that the proposed DAAR model was better than the current state-of-the-art recommendation methods. [ABSTRACT FROM AUTHOR]