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The apps for drawing are present in our children's life. Nevertheless, little is known about the impact of mobile technology on the freehand drawing educational activity. There are few works which are contextualised within short periods of time, with teachers who are not theirs and, in some cases, outside the children's classroom. In this paper, we are focussed on the use of technology on freehand drawing activity. Thus, we have compared the graphics produced by 4- and 5-year-old children with paper&crayon in comparison with those with tablet-finger. Children made the drawings during a planned free-drawing activity, in their ordinary classrooms, with their teachers and during five sessions. Assessment of drawings has evidenced tablet feasibility for making graphics. Nevertheless, with the passing of time, quality of graphics (tablet-finger vs paper&crayons), are nearly matched, demonstrating the low impact level technology has on this activity. In addition, if drawings are analysed specifically according to ages, results have shown that both groups have to develop adaptation strategies of visual perceptual skills and fine motor skills for the touch screen in order to obtain the same quality in the drawings made on both support types. [ABSTRACT FROM AUTHOR]

This work aims to explore the potentialities of an end-user personalisation platform in industrial settings. In such a context, stakeholders with different roles and competencies collaborate to manage and control an environment where legacy machines coexist and interact with newer ones. Our goal is to provide a rule-based tool that allows end-users to build personalised solutions to respond quickly to the dynamic needs of factories. We report on a case study in the paper factory domain, in which the industrial aspects identified with expert stakeholders through interviews have been simulated and addressed through an extension of a personalisation platform. A first user test of the resulting environment has been carried out with a representative set of users, and has provided useful and encouraging feedback in terms of the potentialities of the proposed approach in industrial contexts. [ABSTRACT FROM AUTHOR]

The aim of this study was to examine the effects that reading on screens (using digital devices with different screen sizes) and on paper have on reading time and comprehension. The study group was comprised of126 secondary students from a private school. To ensure balance, the participants were assigned into test groups, formed according to the size of the reading device, based on class levels, gender, and average school grade. In the data collection process, a narrative text was transferred to both print and electronic media. Access to the text was provided on paper and three digital devices. There were no time limitations. After reading, participants were given comprehension tests that consisted of twenty multiple-choice questions. Female participants' on-screen comprehension scores were found to be relatively higher compared to their paper comprehension scores. They also acquired better scores as the screen size increased. Conversely, male participants had higher comprehension scores on tablets and smart phones. Participants who read the text on smart phones and tablets completed the tasks in less time compared to other groups. However, the effects of reading modality on comprehension and reading time were not found to be statistically significant in either the male or female groups. [ABSTRACT FROM AUTHOR]

Agent-based training systems can enhance people's social skills. The effective development of these systems needs a comprehensive architecture that outlines their components and relationships. Such an architecture can pinpoint improvement areas and future outlooks. This paper presents ARTES: a general architecture illustrating how components of agent-based social training systems work together. We studied existing systems and architectures for training and tutoring to design ARTES and identify its essential components and interaction characteristics. ARTES comprises two core components: the agent simulation of social situations, and educational elements to provide guided learning. We link ARTES's crucial components to four primary learning theories (behaviourism, cognitivism, social cognitive theory, and constructivism) to illustrate the role of agent simulation and tutoring elements in establishing desired learning outcomes. Furthermore, we map ARTES's components against eight architectures, 43 systems and three tools to indicate the components' relevance, completeness, generalisation, and deployment potential across contexts. In addition to ARTES, the paper also contributes by identifying future improvements and research directions, such as the agent's thinking, tutoring methods, knowledge transfer, and ethical implications. We believe ARTES can help bridge the gap between virtual human simulations and impactful educational learning, offering training system developers desirable features like understandability and adaptability. [ABSTRACT FROM AUTHOR]

The application of STEM (Science, Technology, Engineering, and Math) education in solving real-world problems is challenging. To tackle this challenge, a project-based learning approach that integrates robots with cost-effective self-made toys to problem-solving was adopted to assist rural primary school students to apply STEM skills. The purpose of this study was to evaluate the effects of the project-based learning approach which includes lecturing and hands-on activities on primary school students' STEM learning outcomes and attitudes. An experiment was conducted with 25 primary school students who voluntarily participated in a STEM summer-camp programme. Students were asked to assemble a paper house equipped with an IoT control module and LED light switches, and write and edit robot scripts to produce a robot-based storytelling narrative using the paper house they made as a context. The results show that the project-based learning approach was an effective approach for cultivating primary school students' STEM knowledge and skills as evidenced from the post-written test. The relationships between the students' STEM learning outcomes and attitudes were also confirmed by a clustering analysis. Students who had higher learning attitudes also achieved higher STEM learning outcomes; the findings are also supported by the feedback from the open-ended questionnaire items. This study suggests that integrating low-cost self-made toys and robots in project-based learning activities is an effective and practical approach to enhance primary school students' learning outcomes and learning attitudes in STEM education. [ABSTRACT FROM AUTHOR]

Utilising User Generated Content (UGC) on social media platforms like TikTok and Facebook can establish genuine connections between content creators and their audience. However, managing and maintaining long-term brand development remains a significant challenge. Research on the mechanisms behind sustainable brand support attitudes towards UGC is limited. This paper explores whether a self-deprecating style of humour affects audiences’ sustained brand support attitudes towards social media content creators. Theoretically, this study combines Affective Events Theory (AET) and Intergroup Emotion Theory (IET) to explore how individual attitudes extend to group reactions and the sustainability of personal brands. It aims to thoroughly investigate, in the context of social media, the cognitive and emotional changes in individuals towards themselves and their groups under the stimulus of UGC self-deprecating humour, as well as the process of forming sustainable brand support attitudes. Methodologically, this study employs a covariance-based structural equation model to establish the path mechanism of self-deprecating humour expression on sustainable brand support attitudes at both individual psychology and group attitude levels. Additionally, it analyzes the limitations of self-deprecating humour in UGC, considering users with varying levels of need for cognition. Lastly, the paper discusses the theoretical contributions and practical implications of this study. [ABSTRACT FROM AUTHOR]

Systems designed with persuasive software features can influence users to adopt attitudes and/or behaviours that contribute to better health outcomes. Studies on Coronary Heart Disease (CHD) interventions have shown how they can be used to support lifestyle changes. Meta-analytic reviews of randomised controlled trials (RCTs) are needed to appraise, summarise, and show their effects on health. To this end, we investigated the effectiveness of digital health interventions (DHI) designed for CHD and examined the impact of persuasive features in the DHIs. We performed a systematic search using three academic databases for scientific papers on CHD and digital interventions from 2010 to 2020, yielding 1556 papers. The systematic review and meta-analysis included 12 RCTs after screening. Our findings show that digital health interventions had an impact on diastolic blood pressure, systolic blood pressure, low-density lipoprotein, high-density lipoprotein, total cholesterol, glycated haemoglobin, glucose, triglyceride, heart rate, and depression but not body mass index. We present effective interventions and insights into persuasive software features that were associated with effective DHIs. More research is needed to investigate the effectiveness of persuasive features in other contexts and other factors that can impact the effectiveness of DHIs. [ABSTRACT FROM AUTHOR]

Personalisation, which tailors to individual preferences, is considered a possible route for improving engagement with digital mental health (DMH) products. Despite claims about the presence and importance of personalised features, evidence about their extent and impact is limited. The study objective was to review evidence from published research to investigate and characterise the contribution of personalisation to engagement and effectiveness.Research papers were retrieved using keywords, with 139 papers being fully examined and 61 meeting our eligibility criteria. Most of the eligible articles reviewing DMH systems have weak to intermediate forms of personalisation (45). Only nine were coded as having strong, adaptive personalisation. Of the 40 articles which evaluated the personalisation effectiveness, 28 were qualitative indicating user preference for personalised features. The 16 controlled, quantitative designs lacked a non-personalised intervention, making it difficult to determine the added value. Effect sizes calculated from available data showed minimal differences in effectiveness compared to non-personalised apps.Our review indicates mixed evidence of personalisation’s performance in DMH interventions. Generally, there is a lack of good quality evidence to isolate specific contributions of personalisation. Opportunities were identified for improved evaluation, however caution is required when implementing more sophisticated methods of DMH personalisation. [ABSTRACT FROM AUTHOR]

The recent advances in educational technology enabled the development of solutions that collect and analyse data from learning scenarios to inform the decision-making processes. Research fields like Learning Analytics (LA) and Artificial Intelligence (AI) aim at supporting teaching and learning by using such solutions. However, their adoption in authentic settings is still limited, among other reasons, derived from ignoring the stakeholders' needs, a lack of pedagogical contextualisation, and a low trust in new technologies. Thus, the research fields of Human-Centered LA (HCLA) and Human-Centered AI (HCAI) recently emerged, aiming to understand the active involvement of stakeholders in the creation of such proposals. This paper presents a systematic literature review of 47 empirical research studies on the topic. The results show that more than two-thirds of the papers involve stakeholders in the design of the solutions, while fewer papers involved them during the ideation and prototyping, and the majority do not report any evaluation. Interestingly, while multiple techniques were used to collect data (mainly interviews, focus groups and workshops), few papers explicitly mentioned the adoption of existing HC design guidelines. Further evidence is needed to show the real impact of HCLA/HCAI approaches (e.g., in terms of user satisfaction and adoption). [ABSTRACT FROM AUTHOR]

While there is a growing body of research that explores the integration of music and coding in learning environments, much of this work has either emphasised the technical aspects of computer language design or music as a motivational context within which to learn computer science concepts. In this paper, we report on a study in which five undergraduate students with experience in both music and coding completed two creative musical tasks: one using conventional instruments and tools and one using Python code in an online music + coding environment. Inspired by the work of Christopher Small (1998. Musicking: The Meanings of Performing and Listening. University Press of New England), we describe music + coding as a set of interlocking processes which we call computational musicking and explore how practices from both domains are reimagined in this new hybrid context. We introduce semiotic theories of translation and transcription to make sense of the computational musicking process and describe strategies that participants devised in their creative process. [ABSTRACT FROM AUTHOR]

Fun and social affiliation are good predictors of long-term intention to use game-based interventions including those for motivating physical activity, yet current player matching algorithms are poor at facilitating social connectedness. In this paper, we report on the results of a study investigating how different player traits are associated with interest in social features of an exercise game for improving player experience through better player matching using common and complementary characteristics. Twelve conceptual scenarios were illustrated using storyboards and data was collected from 196 respondents who rated their attitudes and preferences towards gamification elements. Correlational results showed that all scenarios, except for cutting corners, were perceived as persuasive, enjoyable, engaging and are likely to increase future exercise intention for players who score high on Philanthropist- and Socialiser-oriented traits. Results also showed that many players favour the altruistic donation feature. Furthermore, qualitative results underscore that it is the player's partner that matters more than the players' personalities. We conclude with practical recommendations for designing more personalised exercise games that can include more socially engaging game mechanics in the future. [ABSTRACT FROM AUTHOR]

To enhance the persuasiveness of behaviour-change games, designers employ persuasive strategies. These persuasive strategies are intended to motivate the users towards the desired behaviours. Hence, the motivational appeal of these persuasive strategies can play an important role in the effectiveness of these behaviour-change games. Furthermore, research has shown that game framing can impact its effectiveness. Therefore, it is important to understand how the type of framing employed in the game impacts the effectiveness of persuasive strategies and their motivational appeal. To advance research in this direction, this paper explores the relationship between the perceived effectiveness of four popular persuasive strategies (reward, competition, praise and suggestion) and their motivational appeal in a persuasive game for healthy eating across the three different game framings: gain-framing, loss-framing or gain-loss-framing. In a study of 371 participants, our results revealed that all the persuasive strategies were perceived to be significantly effective across all game-framing versions. We also discovered that game framing had varying significant impacts on the relationship between the perceived effectiveness of persuasive strategies and their motivational appeal. We conclude by offering some insights on how to implement persuasive strategies to design games with better persuasive motivational appeal. [ABSTRACT FROM AUTHOR]

In this paper, we describe an empirical evaluation of the user's perceived usefulness of recommendations for configuration tasks in a smart home scenario. Our results suggest that while overall recommendations help improve the performance in the task, the psychological traits of Self-efficacy and Need for Cognition play an important role in determining the perceived usefulness of the recommendations. These effects are somehow different from those reported in other studies where recommendations are provided for a choice task rather than a constructive task. Thus, our results offer evidence regarding the importance of incorporating the evaluation of personality traits into the design of configuration constructive tasks in order to make informed decisions on whether and how to provide users with recommendations. Additionally, they show that it is crucial to take into account the nature of the task and, where possible, individual competencies. [ABSTRACT FROM AUTHOR]

Office well-being aims to explore and support a healthy, balanced and active work style in office environments. Recent work on tangible user interfaces has started to explore the role of physical, tangible interfaces as active interventions to explore how to tackle problems such as inactive work and lifestyles, and increasingly sedentary behaviours. We identify a fragmented research landscape on tangible Office well-being interventions, missing the relationship between interventions, data, design strategies, and outcomes, and behaviour change techniques. Based on the analysis of 40 papers, we identify 7 classifications in tangible Office well-being interventions and analyse the intervention based on their role and foundation in behaviour change. Based on the analysis, we present design considerations for the development of future tangible Office well-being design interventions and present an overview of the current field and future research into tangible Office well-being interventions to design for a healthier and active office environment. [ABSTRACT FROM AUTHOR]

This paper constructs a risk reduction model based on signalling theory to investigate how the platform- and user-oriented signals affect perceived risks, which in turn affect users' actual engagement and purchase behaviours in social commerce. The moderating effects of perceived effectiveness of social commerce institutional mechanisms (PESIM) on the relationships between signals and perceived risks are also considered. Longitudinal data from 226 users of Xiaohongshu were collected to test the proposed hypotheses. We identify signals oriented from platforms and users significantly influence users' perceptions of commerce and participation risks. We also demonstrate that commerce and participation risks influence users' actual engagement and purchase behaviours, respectively. Furthermore, we also verify that PESIM negatively moderates the relationship between signals and perceived risk. [ABSTRACT FROM AUTHOR]

A brain–computer interface (BCI) bridges brain and computer activities through the computer engineering technique of capturing and analysing a person's biological and neurological response signals. This article reviews 37 empirical studies published in the past five years regarding the application of BCIs in mainstream education contexts for students' learning regulation. The characteristics of the research methodology, technologies, targeted application scenarios and main outcomes of the reviewed studies are presented in detail and summarised. The results show that most of the research in this area has concentrated on the effects of neurofeedback on the learning regulation process, optimising data-processing algorithms, developing criteria, and designing BCI-based instructional environments. Neurofeedback- and biofeedback-based BCI approaches can help to monitor learning states and have positive effects on learning regulation. The paper also discusses the future development of BCIs as an effective technique for learning analysis and regulation, and it proposes a prototype of neurofeedback- and biofeedback-based BCI learning regulation systems and their application scenarios. By highlighting the current applications and possible future trends of the use of BCIs in mainstream education and identifying the challenges involved, this review can guide the development of smart education in the age of artificial intelligence. [ABSTRACT FROM AUTHOR]

The recent surge in the usage of e-cigarettes amongst youth has highlighted a long-standing societal crisis. To assist public health agencies in policymaking, past research often employed traditional survey-based methods to understand youth behavior, which suffer from response biases and scalability, are time-consuming, and their findings often lag the fast-changing public behavior. Our study fills this gap by using social media as a complementary data source to understand user intentions for vape usage at a large scale, thus, providing an alternative to traditional survey-based methods. In this paper, we propose a novel user intent mining framework under the guidance of social cognitive theory for health behavioral interventions that helps study user intentions across different social media platforms. We then employ this framework to investigate the feasibility of automated intent mining on social media by formulating a multi-class classification task, employing machine learning algorithms to classify a social media message across relevant intent classes: Accusational, Anecdotal, Informational, Justificational and Promotional. The analyses indicate that Accusational tweets and Anecdotal messages were most prevalent on X/Twitter and Reddit respectively. We further provide novel insights on the conversational context using topic modeling analysis and psychometric analysis consequently, informing intervention designs and assisting health analysts. [ABSTRACT FROM AUTHOR]

Technologies and social networks have modified the habits of their users, affecting their health and well-being. An exponent of these affectations of daily life is the phenomenon of vamping, this is the habit in which people use their mobile or computer during the night and early morning, with the consequence of symptoms such as insomnia, fatigue, and mood swings in those who practice it. In this paper, we propose a scale to assess the tendency to vamping in adults, for its validation in the Argentine context. With a sample of 1004 cases, whose mean age was 44.29 years (SD = 11.73) and a mean age of 18–65 years, with 51.89% (n = 521) being women and 48.11% men (n = 483). The scale showed an adequate consistency for 11 items and two dimensions. The first dimension is nocturnal habits, that is, the tendency to stay up late to surf the Internet and social networks, and the second dimension is behavioural commitment, that is, the affectation and daytime correlate caused by changes in sleep pattern. [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]

When a task is repeated, it becomes part of procedural memory. This type of memory dedicated to movement is called 'muscle memory', which allows one to perform actions unconsciously. Within the context of social media, muscle memory builds up if one uses SM applications frequently. In this paper, we investigate the effects of muscle memory within Instagram, and report the following findings: We designed a user study examining the speed and accuracy of using a newly changed interface which showed slower reaction time and more errors. Combining these results with users' perceived feelings lead us to conclude that in specific UX interface changes muscle memory can be applied as a dark pattern. [ABSTRACT FROM AUTHOR]

Reading scientific papers in portable document format (PDF)-columned formats on computer screens is sometimes daunting and unfriendly. This is mainly due to the fact that PDF-columned texts are often truncated from the top or the bottom of pages so that readers have to scroll up–down repeatedly in the same page to get the whole text read. To make the reading process as smooth as possible, PDF viewers should be designed as responsive tools with responsive layouts that should automatically adapt the amount of readable text to the sizes of the displaying monitors so that readers will not waste time in repetitive vertical and horizontal scrolling movements within the same page. Here, I discuss such a problem-solving proposal that could be implemented in PDF viewers to improve the readability of PDF-columned texts and to make the reading process as flexible and painless as possible. [ABSTRACT FROM PUBLISHER]

Computation-based aesthetics metrics have been developed to help designers predict visual aesthetics scores for GUI design. However, designers find these evaluative scores difficult to understand. This paper proposed an interpretable aesthetics metric for GUI design that integrates visual aesthetics (visual similarity and spatial proximity) and GUI structure (semantic similarity and white space) to model visual grouping distribution. Two experiments were conducted to validate the metric’s ability to predict aesthetics and interpret outputs. Experiment 1 showed that our metric had a stronger correlation with users’ impressions of GUI visual aesthetics than past metrics. Experiment 2 suggested that our metric was easier to interpret and appeared more useful to Visual/Graphic/GUI designers than a conventional score-based alternative, by visualising the metric outputs as an experimental tool. Furthermore, this paper provided five potential insights to further advance computational aesthetics research. [ABSTRACT FROM AUTHOR]

The duality of cyberloafing is a topic that has always been debated. Considering this, the purpose of this paper is to classify cyberloafing and explore the antecedents of different degrees of cyberloafing and their different effects on job satisfaction. Using the Technology-Organisation-Environment Framework and the conservation of resources theory, this paper proposes a research model to investigate the mediation mechanism of cyberloafing. Using the partial least square method (PLS) SEM method to analyze 294 employees’ data, the results show that: (1) Work-related enterprise social media usage only negatively affects serious cyberloafing, while social-related enterprise social media usage only positively affects minor cyberloafing. (2) The impact of perceived IT control policy on minor cyberloafing was not statistically significant, while negatively affected serious cyberloafing. In terms of environment factors, the study shows that prescriptive norms and work overload have opposite effects on cyberloafing, with work overload having no significant effect on minor cyberloafing. Significantly, policy satisfaction plays a significant moderating role between environment factors and cyberloafing. (3) Minor cyberloafing positively affects job satisfaction, while serious cyberloafing negatively affects job satisfaction. Our findings provide instrumental insights into how enterprise managers manage employees to improve employees’ job satisfaction, control different degrees of cyberloafing. [ABSTRACT FROM AUTHOR]

Test anxiety involves feelings of discomfort, fear and worry, impacting students’ wellbeing and academic performance. Virtual reality exposure (VRE) shows promise in mitigating test anxiety, but existing applications concern only written exams. Few VRE applications simulate one-on-one interviews with examiners, and applications for public speaking focus on formal presentations before an audience. This paper concerns a trial of a VRE application that deals with oral exams, presenting a qualitative study of a sample of undergraduate students who autonomously used the VRE application in their homes over three weeks. The application exposes students to scenarios in which a virtual examiner displays friendly, partially friendly, or unfriendly behaviour while asking questions selected from a pool defined by the student. Participants were interviewed to investigate their perceptions of and experience with the application. Thematic analysis of participants’ interviews indicates that they perceived the VRE application as valuable not only for studying and practicing oral exams but also for handling emotional aspects associated with the exam. Moreover, the application helped to increase confidence and awareness of preparation level among some participants. Finally, the paper describes participants’ suggestions emerged from the study that can be used to inform the design of this type of applications. [ABSTRACT FROM AUTHOR]

Emotion detection and Sentiment analysis techniques are used to understand polarity or emotions expressed by people in many cases, especially during interactive systems use. Recognizing users' emotions is an important topic for human–computer interaction. Computers that recognize emotions would provide more natural interactions. Also, emotion detection helps design human-centred systems that provide adaptable behaviour change interventions based on users' emotions. The growing capability of machine learning to analyze big data and extract emotions therein has led to a surge in research in this domain. With this increased attention, it becomes essential to investigate this research area and provide a comprehensive review of the current state. In this paper, we conduct a systematic review of 123 papers on machine learning-based emotion detection to investigate research trends along many themes, including machine learning approaches, application domain, data, evaluation, and outcome. The results demonstrate: 1) increasing interest in this domain, 2) supervised machine learning (namely, SVM and Naïve Bayes) are the most popular algorithms, 3) Text datasets in the English language are the most common data source, and 4) most research use Accuracy to evaluate performance. Based on the findings, we suggest future directions and recommendations for developing human-centred systems. [ABSTRACT FROM AUTHOR]

The use of computer-based tests (CBTs) has spread rapidly in recent years, as such tests offer real-time scoring and immediate feedback, facilitate the use of individualised testing methods, improve test administration and reduce test expenses. Thus, most previous studies have tended to focus on the technical advantages of CBTs and on implementation issues. However, objections to the use of CBTs have begun to surface, and the primary concern is whether the scores of CBTs and those of paper-based tests (PBTs) are equivalent. The aim of this article is to compare the scores of Korean students on computer-based and paper-based versions of the same test. We focus on the differences between the scores of male and female participants and between scores on tests examining different subject matter. Surprisingly, even though the Korean students who participated in this study had more exposure to advanced information technologies such as computers, the Internet and multimedia than did students in other countries, they did not achieve higher CBT scores than PBT scores. This finding shows that familiarity with information technology and adaptation to CBTs are distinct. We also identified a fundamental reason for low CBT scores. [ABSTRACT FROM PUBLISHER]

The amount of information we consume daily through smartphones has prompted the development of Personal Knowledge Management Systems (PKMS). However, these external memory aids can lead to overreliance and do not help to keep information in our organic memory. This paper presents the design and evaluation of MemoryMate, an app that fosters recall of saved content through interactive notifications. The app's design is based on insights from a focus group (N = 7) that inquired about people's expectations and preferences regarding the notification design. The results of a three-week in-the-wild study (N = 23) of MemoryMate suggest that notifications could trigger engagement with saved content, and two-thirds of participants felt notifications improved their memory and retention. Retrieval practice notifications with interactive tasks performed well and received positive feedback. Content priority and time since the last interaction influenced notification engagement, emphasising the need for periodic reminders to maintain user interest in saved content. We discuss potential implications for the design of PKMSs as a tool for lifelong learning. [ABSTRACT FROM AUTHOR]

On-demand work applications (ODWAs), a type of digital platforms (DPs), are technology-enabled intermediaries for gig workers. In this paper, we study these platforms and their impact on women belonging to the low socio-economic section in a developing economy. These women act as primary unpaid workers while being expected to make an economic contribution. Hence, they suffer from time scarcity where they need to find mechanisms to generate economic success from the limited time they have, in a largely informal economy. We employed the theoretical lens of affordances to delineate the affordances that are provided by the various features of ODWAs and their impact on life satisfaction of women. We conducted a mixed method study using interviews of 20 female gig workers, supplemented by a survey of 927 workers on one of the largest ODWAs in India. Our analysis points to the sense of identity and individuality that these platforms provide as well as lowering the market boundaries for greater inclusion. Our research is significant from both, the information systems and inclusion research perspectives, as it contributes to the theoretical understanding of the impact of DPs on breaking societal structures and providing avenues to marginalised sections. [ABSTRACT FROM AUTHOR]

The Cybersecurity Awareness INventory (CAIN) was introduced by Tempestini and colleagues (2023, “The Cybersecurity Awareness INventory (CAIN): Early Phases of Development of a Tool for Assessing Cybersecurity Knowledge Based on the ISO/IEC 27032.” Journal of Cybersecurity and Privacy 3 (1): 61–75) as a proficiency test designed to estimate individuals’ knowledge of cyber threats. The questionnaire was based on ISO/IEC 27032:2012 (Information Technology – Security Techniques – Guidelines for Cybersecurity) and consisted of 46 items. In this paper, we present the results of a survey study conducted on a sample of 1511 Italian workers belonging to the same large organisation. The administration of the CAIN to an Italian sample forced us to make an adaptation to the Italian language of the questionnaire. Using Rasch analysis, we improved the CAIN by eliminating some items that did not fit the expected response patterns, leading to a newer and more parsimonious 30-item version. the CAIN score was also used as the dependent variable in a series of ANOVA designs using several security behaviours as factors. That allowed us to test its predictive validity, confirming the ability of the instrument to discriminate between different user profiles with respect to reported security behaviours. Overall, the revised test showed better performance in terms of reliability and validity. [ABSTRACT FROM AUTHOR]

This research delves into the intricate interplay between mood and ethical perceptions within the context of crowdsourcing online labour markets. The study employs a carefully crafted experimental design, conducted in November 2021, involving two distinct groups: the benchmark group, serving as the control, and the treatment group, subjected to mood induction through film exposure. The benchmark group is presented with a neutral placebo film, while the treatment group is treated to a comedy film. By using OLS estimation methods, the paper provides evidence of the impact of positive mood manipulation, which remarkably enhances individuals’ ethical perceptions, fosters value co-creation, and augments the quality of their relationships with the platform. The study's findings strongly indicate that the potent effect of positive mood primarily operates through the lens of the agreeableness trait. This observation sheds light on the intricate psychological mechanisms underlying mood's influence on various outcomes within the online labour market setting. Contributions to the ethical perception, mood research and online-economy literature are discussed. [ABSTRACT FROM AUTHOR]

Persuasive gamified systems are effective tools for motivating behaviour change using various persuasive strategies. In line with the reinforcement theory, some persuasive gamified systems employ reward and punishment in their design to achieve the intended behavioural outcome. Research has argued both in favour and against using these strategies in behaviour change applications due to mixed results with respect to their effectiveness. However, there is a lack knowledge about how interventions using these strategies could motivate or demotivate behaviours. Therefore, this paper explores the mechanism through which Reward and Punishment motivate or demotivate behaviours with respect to their strengths and weaknesses. The results of large-scale exploratory studies (N = 1768) uncover important strengths and weaknesses that could facilitate or hinder the effectiveness of Reward and Punishment at motivating behaviour change. These include their ability to engage users and make behaviour fun, reinforce commitments to goals, and reveal some consequences of bad behaviour. We also compared the perceived effectiveness of reward and punishment quantitatively. [ABSTRACT FROM AUTHOR]

Location-based games (LBG) impose virtual spaces on top of physical locations. Studies have explored LBG from various perspectives. In this paper, we leverage several of the most popular LBG (circa 2019) to identify the players of such games: their traits, gratifications, and links therein. To achieve our objective, we deployed surveys to 2390 active LBG players utilising Tondello et al.'s Player Traits Model and Scale of Game Playing Preferences and Hamari's scale of LBG gratifications. Our findings (1) illustrate an association between player satisfaction and social aspects of the studied games, (2) illustrate how the core loops of the studied games impact the expressed gratifications and the affine traits of players, and most centrally, (3) indicate a vital distinction between hardcore and casual players based on both traits and gratifications. Overall, our findings elucidate the players of LBG, their traits, and the gratifications they derive from playing LBGs. [ABSTRACT FROM AUTHOR]

In the context of the digital economy, one of the most important issues facing business managers is how to improve digital performance. However, the extant studies exploring this problem are quite limited. Based on information processing theory, this paper proposes a research model to investigate the relationship between employee resilience and digital performance, and the moderating role of enterprise social media usage. According to the analysis of data from 277 employees, this study finds that: (1) employee resilience has a positive effect on employee cognitive flexibility; (2) employee cognitive flexibility can positively influence digital performance, and the effect of employee cognitive flexibility on digital-enabled innovative performance is larger than the effect of employee cognitive flexibility on digital-enabled task performance; (3) both work-related social media usage and social-related social media usage exert a positive moderating effect between employee resilience and employee cognitive flexibility. The findings can help deepen the understanding of the relationship between employee resilience, employee cognitive flexibility, and digital performance, and give business managers suggestions on using enterprise social media to improve digital performance. [ABSTRACT FROM AUTHOR]

This paper explores the different insider employee-led cyber frauds (IECF) based on the recent large-scale fraud events of prominent Indian banking institutions. Examining the different types of fraud and appropriate control measures will protect the banking industry from fraudsters. In this study, we identify and classify Cyber Fraud (CF), map the severity of the fraud on a scale of priority, test the mitigation effectiveness, and propose optimal mitigation measures. The identification and classification of CF losses were based on a literature review and focus group discussions with risk and vigilance officers and cyber cell experts. The CF was analyzed using secondary data. We predicted and prioritized CF based on machine learning-derived Random Forest (RF). An efficient fraud mitigation model was developed based on an offender-victim-centric approach. Mitigation is advised both before and after fraud occurs. Through the findings of this research, banks and fraud investigators can prevent CF by detecting it quickly and controlling it on time. This study proposes a structured, sustainable CF mitigation plan that protects banks, employees, regulators, customers, and the economy, thus saving time, resources, and money. Further, these mitigation measures will improve the reputation of the Indian banking industry and ensure its survival. [ABSTRACT FROM AUTHOR]

Context: Interaction design has been consolidated as a practice with potential to support interactive systems projects. Most interaction design solutions (methods, techniques, and tools) have been created to be used in environments with co-located participants. However, the number of software projects that are developed in environments with geographically distributed stakeholders has increased. Despite some research efforts, little is known about how the scientific literature has addressed interaction design in distributed software development (DSD). Objective: To provide an overview of studies that have been conducted on interaction design in DSD. Method: A systematic mapping study was conducted to identify, synthesise and analyse papers related to interaction design in DSD, and 32 papers were included and classified in relation to the research type and research topic. Results: Through the analysis of the included papers, this paper provides an overview of existing interaction design studies in the context of DSD. This paper presents an analysis of the main characteristics of interaction design in DSD, such as the level of dispersion of stakeholders, the solutions adopted (approaches, methods, techniques, tools), the involvement of end users, and the performance of designers and HCI specialists. We have identified gaps and a taxonomy of six research topics. The findings of this study also allowed us to propose an agenda for future research on distributed interaction design. Conclusion: This paper contributes to the body of knowledge of interaction design at the frontier of research between HCI and DSD by (i) providing an overview of research efforts on interaction design in DSD, (ii) presenting an overview of how interaction design has been conducted in DSD projects, and (iii) identifying research gaps and discuss future research directions emerged from the study. [ABSTRACT FROM AUTHOR]

Text-guided synthesis of images has become enormously popular and online communities dedicated to text-to-image generation and art generated with Artificial Intelligence (AI) have emerged. While deep generative models can synthesise high-quality images and artworks from simple descriptive text prompts, practitioners of text-to-image generation typically seek to control the generative model’s output by adding short key phrases (‘modifiers’) to the prompt. This paper identifies six types of prompt modifiers used by practitioners in the online text-to-image community based on a 3-month ethnographic study. The novel taxonomy of prompt modifiers provides researchers a conceptual starting point for investigating the practice of text-to-image generation, but may also help practitioners of AI generated art improve their images. We further outline how prompt modifiers are applied in the practice of ‘prompt engineering.’ and discuss research opportunities of this novel creative practice in the field of Human–Computer Interaction (HCI). The paper concludes with a discussion of broader implications of prompt engineering from the perspective of Human-AI Interaction (HAI) in future applications beyond the use case of text-to-image generation and AI generated art. [ABSTRACT FROM AUTHOR]

Based on the stress coping theory, the present paper aims to investigate the influence of users’ networking ability and profile control ability in mitigating the negativity of social media overload. This paper argues that in the social media context, instead of discontinuance, users tend to develop comprehensive strategies and practices to manage their social media usage. Via an exploratory factor analysis (EFA) study, five practices were identified, including continuous usage, reduced usage, setting adjustment, support seeking, and information avoidance. The results show that social media overload leads to both the perception of emotional exhaustion and disturbance handling while networking and profile control ability make users focus on disturbance handling. Besides, networking ability is found to weaken the relationship between social media overload and emotional exhaustion while profile control ability exaggerates that relationship. Finally, emotional exhaustion and disturbance handling both predict users’ different social media management practices. [ABSTRACT FROM AUTHOR]

An increasing proportion of information technology (IT)/information system adoption research collects data using online surveys. However, a paucity of research assesses the equivalence of paper-based versus Internet-based surveys in collectivistic cultures. Furthermore, no theoretical or empirical research investigates how cultural differences between collectivistic and individualistic cultures influence the measurement equivalence (ME) of these survey modes. To explore these issues, online and paper-based surveys with comparable samples were carried out in both an individualistic (the USA) and a collectivistic culture (China). Confirmatory factor analysis was conducted to examine the ME across both survey modes in these different cultures. Results indicate that the relatively larger satisficing discrepancy between paper and online surveys causes respondents in collectivistic cultures to have an increased likelihood of providing responses that vary as compared to respondents in individualistic cultures. The disparate responses, in turn, result in increased measurement variance between the two survey modes. The findings of this study bridge a gap in the literature and address the question of how culture influences online satisficing behaviour and how that behaviour causes measurement invariance across survey modes. This study also explains the possible underlying mechanisms by which different national cultures exert their influence on survey results. The findings provide important implications for IT researchers, especially those in collectivistic cultures or those who need to collect data in collectivistic cultures using online surveys or mixed-mode surveys that include an online survey mode. [ABSTRACT FROM AUTHOR]

The rise of social media platforms has changed human communication once and forever and consequently, has triggered an array of emotions such as fear of missing out (FoMO). In two different studies, this paper investigated individual differences, psychological and social media motivational variables as predictors of FoMO. The paper also sought to test whether FoMO will have a negative impact on academic performance above and beyond social media engagement and social media addiction. Using a structural equation modelling (SEM) along with multiple mediation analysis, the results indicated that perceived excessive social media content generation, attention seeking, and personality variables significantly predicted FoMO controlling for individual differences and social media activity such as Instagram followers, Twitter followers, as well as WhatsApp engagement level. Furthermore, the biological sex of the individual was found to moderate the relationship between attention seeking and FoMO. Findings also indicated that FoMO had a positive impact on both social media engagement and social media addiction. Parallel mediation analysis revealed that FoMO had a negative effect on academic performance above and beyond social media addiction. [ABSTRACT FROM AUTHOR]

A bespoke electronic system, now being used regularly across Northern Ireland to facilitate the multidisciplinary team process in its recording of the team decisions for cancer patients, is investigated. Over 80% of the expected targets for cancer waiting times are being achieved and clinical stage recording for lung cancers has increased from 67% in 2006 to 88% in 2009. [ABSTRACT FROM AUTHOR]

Medical training is a key element in maintaining and improving today's healthcare standards. Given the nature of medical work, students must master not only theory but also develop their hands-on abilities and skills in clinical practice. Medical simulators play an increasing role in supporting the active learning of these students due to their ability to present a large variety of tasks allowing students to train and experiment indefinitely without causing any patient harm. While the criticality of explainable AI systems has been extensively discussed in the literature, the medical training context presents unique user needs for explanations. In this paper, we explore the potential gap of current limitations within simulation-based training, and the role Artificial Intelligence (AI) holds in supporting the needs of medical students in training. Through contextual inquiries and interviews with clinicians in training (N = 9) and subsequent validation with medical experts (N = 4), we obtain an understanding of the shortcomings in current simulation-based training and offer recommendations for future AI-driven training. Our results stress the need for continuous and actionable feedback that resembles the interaction between clinical supervisor and resident in real-world training scenarios while adjusting training material to the residents' skills and prior performance. [ABSTRACT FROM AUTHOR]

Generative language models have changed the way we interact with computers using natural language. With the release of increasingly advanced GPT models, systems are able to correctly respond to questions in various domains. However, they still have important limitations, such as hallucinations, lack of substance in answers, inability to justify responses, or showing high confidence with fabricated content. In digital mental health, every decision must be traceable and based on scientific evidence and these shortcomings are hindering the integration of LLMs into clinical practice. In this paper, we provide a novel automated method to develop evidence-based question answering systems. Powerful state-of-the-art generalist language models are used and forced to employ only contents in validated clinical guidelines, tracking the source of the evidence for each generated response. This way, the system is able to protect users from hallucinatory responses. As a proof of concept, we present the results obtained building question-answering systems circumscribed to the clinical practice guidelines of the Spanish National Health System about the management of depression and attention deficit hyperactivity disorder. The coherence, veracity, and evidence supporting the responses have been evaluated by human experts obtaining high reliability, clarity, completeness, and traceability of evidence results. [ABSTRACT FROM AUTHOR]

This paper examines how older adults interact with fitness trackers and how that interaction influences their physical activity. We carried out qualitative interviews with 22 individuals between the ages of 55 and 72 who had used fitness trackers as part of a six-week field experiment investigating the effects of feedback from fitness trackers and the social influence of their spouses. From their comments, we derived an explorative process model explaining the mechanisms and the four stages of effects arising from personalised feedback, namely, cognitive, affective, conative, and intuitive. These effects were grouped into internal and external dimensions. Three types of goal-related decisions determined whether interviewees moved from the internal responses of cognition and emotion to the external response of behaviour change. The findings from this study elucidate how real-time personalised feedback can motivate physical activity among older adults and highlight the goal-related factors that influence this effect. [ABSTRACT FROM AUTHOR]

The benefits of video games in physical education have been extensively researched (Camunas-Vega & Alcaide-Risoto, 2020; Fang et al. 2020). However, little attention has been paid to the effectiveness of commercial video games combined with basketball practice in improving students' reasoning skills (Chuang, Yeh, and Lin 2021; Rogers et al., 2020). In this paper, we present the results of an experimental study whose objective was to assess the effects of a programme that includes the use of a video game as the main learning tool to enhance the reasoning process of secondary education students in Physical Education. A total of 271 students participated in this study. A quasi-experimental pre-post design with a control group was used. The experimental group performed a specific training programme with the NBA 2K16 video game for nine weeks, once a week, 60 min per session. The results show that the students who participated in the programme achieved an improvement in deductive and spatial reasoning with a moderate effect possibly due to the use of a video game. Another conclusion was that sex differences in the spatial and deductive reasoning on the pretest disappeared on the post-test. [ABSTRACT FROM AUTHOR]

Navigation services play a crucial role in everyday wayfinding. One of their key features is the turn-by-turn guidance, enabling wayfinders to navigate efficiently between locations. However, over-reliance on turn-by-turn guidance can hinder wayfinders' ability to perceive their surroundings and develop spatial awareness, negatively impacting user experience. Previous research has addressed these issues by modifying instructions, user interaction, or both. However, the applicability of these methods beyond specific studies remains unclear. This paper presents a human-centred study by evaluating an algorithm that automatically generates navigation instructions. The instructions are generated by adding route-defining locations to ‘standard’ turn-by-turn instructions to enhance wayfinder's spatial knowledge acquisition, and improve user experience. Route-defining locations, identified using a previously proposed algorithm, serve as anchors for the wayfinder to form a spatial understanding of the environment. The study involved 36 participants divided into two groups: one received ‘standard’ turn-by-turn (TBT) instructions, while the other received instructions that included route-defining locations (RDL). Participants navigated in an unfamiliar virtual environment, and their wayfinding and route learning were compared between the two groups. Results show that RDL instructions led to better wayfinding and route learning performance compared to TBT instructions, suggesting the potential to improve navigation systems and user experiences. [ABSTRACT FROM AUTHOR]

Trust is important for collaboration. In hybrid teams of humans and robots, trust enables smooth collaboration and reduces risks. Just as collaboration between humans and robots differs from interpersonal collaboration, so does the nature of trust in human-robot interaction (HRI). Therefore, further investigations on trust formation and dissolution in HRI, factors affecting it, and means for keeping trust on an appropriate level are needed. However, our knowledge of interpersonal trust and trust in autonomous agents cannot be transferred directly to HRI. In this paper, we present a study with 32 participants on trust formation and dissolution as well as forecasting to influence trust in an industry robot. Results show differences in dynamics and factors of trust formation and dissolution. Additionally, we find that the effect of forecasting on trust depends on task success. These findings support the design of trustful human-robot interaction and corresponding robotic team members. [ABSTRACT FROM AUTHOR]

The formation of information security behavioural intention (ISBI) can be complex and dynamic in different contexts. This paper aims to examine and compare different users' ISBI formalisation mechanisms when dealing with their personal affairs (non-work users) and organisational affairs (work users). Drawing on two principles of Conservation of Resources (COR) theory (i.e. resource loss principle, and resource gain principle), we developed two models to examine how situational support affects ISBI formation. The results of a study of 432 non-worker users and 261 work users indicate a curvilinear relationship between situational support and ISBI through subjective norms and risk perception for non-worker users, whilst a linear relationship via subjective norms is found for worker users. This is the first time that COR has been applied to explain the formation of ISBI. The findings broaden the research scope of individuals' ISBI by revealing how situational support affects the formalisation mechanism for different users in cross-contexts. The theoretical and practical implications of the findings and the future study are discussed. [ABSTRACT FROM AUTHOR]

While social media has become an increasingly important channel for updating risk news and getting early warnings in the pandemic, it has also led to an information overload and misinformation which has been shown to trigger negative emotions and impact mental health. Emotional state and cognitive characteristics are crucial factors that contribute to information avoidance. In this paper, we integrate the S-S-O framework with Resilience Theory to explore the factors that influence health information avoidance and coping mechanisms during the pandemic. Our investigation reveals that perceived health information overload causes psychological strain, including health information anxiety and time pressure, which are associated with health information avoidance. Our findings also show that resilience is a significant inhibitor of the S-S-O chain. These insights have significant implications for improving pandemic management and promoting individuals’ resilience during public health emergencies. [ABSTRACT FROM AUTHOR]

Including children’s voices in the design of learning activities and technologies has increasingly become a subject of conversation among researchers and learning designers. Research suggests children have lived experiences that position them as useful contributors in co-designing curricula activities or technologies they will use. However, one significant challenge in participatory co-design is engaging children in the co-design of curricula when they have not yet learned the disciplinary content within the curricula. We present our two-year participatory design-based research study in which we co-designed a Critical Machine Learning educational programme with different groups of children at two after-school centres over two consecutive years. In this paper, we characterize the roles children embodied in two cycles of participatory co-design and how the program's activities impacted these roles. Findings in this study suggest that in two participatory design-based research cycles, children embodied different roles of tester, informant, or designer of both AI learning activities and AI technologies. Based on this design-based research study, we propose that a ‘slow research’ approach that emphasises trust-building and a deep understanding of children's perspectives can be instrumental in achieving meaningful co-design outcomes. [ABSTRACT FROM AUTHOR]

Earlier research on the ways in which enterprise social media (ESM) usage contributes to employee resilience is rather limited. Using boundary spanning theory, this paper proposes a research model for investigating how enterprise social media usage contributes to employee resilience. Using Smart PLS 4.0 to analyze the survey data from 370 employees, this study found that, first, when enterprise social media is used for work and social purposes, it has a positive effect on employee boundary spanning, while the effect of social-related ESM usage on employee boundary spanning is larger than work-related ESM usage. Second, employee boundary spanning has the greatest effect on the behavioural dimension of employee-level resilience, followed by the cognitive dimension of employee-level resilience and the contextual dimension. Third, employees’ boundary spanning acts as a partial mediator between enterprise social media and employees’ different levels of resilience. Finally, it is interesting to find that individual adaptability can weaken the relationship between work-related ESM usage and employee boundary spanning, while individual adaptability can strengthen the relationship between social-related ESM usage and employee boundary spanning. The research findings suggest ways of using enterprise social media for specific purposes to increase employees’ different levels of resilience in organisations. [ABSTRACT FROM AUTHOR]