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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]

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]

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]

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]

There are great interests of designing research metrics and indices to measure the research impacts in research institutes. Unfortunately, most of those indices ignore critical design issues, e.g. the disparity between domains, the impact of journals or conferences in which papers are published, normalising the range of the index values to certain intervals, and the scalability of using the index to rank different research entities. In this paper, a new normalised fuzzy index, (NFindex), is proposed as a fuzzy-based research impact metric. The proposed index is a scalable index whose values are normalised to the percentage levels. NFindex achieves both inter-discipline normalisation and intra-discipline consistency. The capability of NFindex to achieve the inter-discipline normalisation enables fair comparison between different research domains regardless their nature in terms of influence and contribution to other research areas, e.g. natural science. Therefore, NFindex gives a universal normalised single-number metric that can be used by research institutes to solve the problem of inter-discipline scholar ranking. Moreover, it can help universal ranking of universities and research institutes according to their research capabilities and impacts. The obtained results, on diverse research areas, prove the potential of NFindex in terms of both intra-discipline consistency and inter-discipline normalisation. [ABSTRACT FROM AUTHOR]

Abstract. The reading of music text from a computer screen was compared to paper in a laboratory controlled study. Computer-based animated score tracking devices of three types were tested, as well as a static screen representation of the music text and its paper-based counterpart. A proof-reading exercise was given to subjects, which involved them listening to pieces of music and identifying intentional errors in the score. Their subjective views were also recorded. No significant difference between the five presentation styles were apparent in the proofreading study. However, subjects showed a significant preference for animation over paper and static representation. The most popular style of animation was where each note on the score was marked in time to the music. The medium of paper performed better overall than the static screen representation. [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]

Workload is an important explanatory variable in human–computer interaction and commonly measured with the Task Load Index (TLX). Thus, it is important to understand the qualities of TLX and its relations to other variables. By reviewing 384 papers that apply TLX, this study analyzes how differences in TLX and its six subscales are associated with one another and with differences in performance, user experience, and situational characteristics. Six findings stand out. First, the TLX subscales measure associated, but somewhat independent, dimensions of workload. Second, people compensate for demanding conditions by putting in more effort and, as a result, sometimes avoid a drop in performance. Third, differences in workload are associated with differences in error rate, task completion time, and user experience but the strength of association is merely slight to fair. Fourth, differences in opposite directions between workload and either error rate, task completion time, or user experience are few but occur for all TLX subscales. Fifth, differences in workload dimensions are more often associated with differences in tasks and contexts than users and systems. Sixth, the TLX subscales – not just the composite TLX score – are widely used for testing cross-system differences in workload. [ABSTRACT FROM AUTHOR]

A smart bracelet that reacts to a person's heartbeat. A smart bench that invites passers-by to sit close. These and others are smart things, part of the Internet of Things (IoT) and people's lives. However, people are mainly IoT consumers and rarely given the possibility of becoming IoT creators. This paper presents a case study concerning the design of smart things for outdoor environments, with end users as the main creators. Ideas of smart things were collaboratively conceptualised by child end-users with a card-based board game. Their ideas were taken up in the form of inspiration cards within a bachelor's first-year course, by students coming from different high schools. Students started from children's ideas as inspiration triggers and collaboratively evolved some of them into interactive smart-thing prototypes. The paper concludes by reflecting on its results and drawing lessons for future editions of cross-generational workshops related to IoT design with end users. [ABSTRACT FROM AUTHOR]

Advances in technologies (e.g. smartphones, wearables) have resulted in the concept of 'self-tracking', and the use of self-tracking technologies in physical activity (i.e. fitness tracking) is on the rise. For example, many people track and monitor their fitness-related metrics (e.g. steps walked, distance ran, and calories burned) to change their behaviours or keep themselves active. Despite the widespread application of self-tracking in fitness, relatively little is known about its drivers and outcomes. To address this gap, the current paper provides an overview of the literature (empirical papers) on self-tracking with a focus on the drivers and outcomes of fitness tracking behaviour and offers four important contributions. First, it identifies 19 drivers of fitness tracking technology usage. Second, it discusses four main outcomes of fitness tracking behaviour. Third, by drawing on the existing studies conducted across various fitness tracking technologies (e.g. fitness trackers, apps) and user groups (e.g. patients, seniors, and females), it provides valuable insights that can be generalisable to other settings (e.g. other types of users and fitness tracking products). Finally, the current paper provides important practical implications and addresses avenues for future research. [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]

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]

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]

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]

This paper reports a study of the use of activity theory in human–computer interaction (HCI) research. We analyse activity theory in HCI since its first appearance about 25 years ago. Through an analysis and meta-synthesis of 109 selected HCI activity theory papers, we created a taxonomy of 5 different ways of using activity theory: (1) analysing unique features, principles, and problematic aspects of the theory; (2) identifying domain-specific requirements for new theoretical tools; (3) developing new conceptual accounts of issues in the field of HCI; (4) guiding and supporting empirical analyses of HCI phenomena; and (5) providing new design illustrations, claims, and guidelines. We conclude that HCI researchers are not only users of imported theory, but also theory-makers who adapt and develop theory for different purposes. [ABSTRACT FROM AUTHOR]

The objective of this paper is to highlight the role that perceived cost, computer self-efficacy and the technology acceptance model (TAM) constructs have in e-training adoption in the Nigerian civil service. With the use of the SmartPLS 2.0 M3 software, a framework that included perceived cost, computer self-efficacy and TAM constructs (perceived usefulness (PU) and perceived ease of use (PEOU)) was tested on 450 heads of departments. Scales on perceived cost, computer self-efficacy, PU and PEOU developed by previous studies were modified accordingly and used. This paper found perceived cost to have a significant effect on e-training adoption. Computer self-efficacy was statistically insignificant through PEOU. In addition, PEOU had an indirect effect through PU. Therefore, only PU of the TAM constructs indicated strong predictive strength in e-training adoption. This paper showed that with e-training adoption, facilities such as computers can be put in place, which can improve the outlook of the civil service. In addition, the cost that is usually associated with traditional training can be reduced, increasing the opportunity to invest in other aspects of the civil service which can help in adding to the overall performance. Relationships were examined in this paper, which were shown to be favourable to e-training adoption in the Nigerian civil service. [ABSTRACT FROM PUBLISHER]

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]

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]

A foreword to "Behavioural and Information Technology" is presented.

Game-based interventions have been gradually and successfully implemented in the mental health domain given the games' ability to positively affect a variety of mental health conditions. To this aim, scholars have recently discovered the usefulness of Commercial Off-the-Shelf (COTS) video games, due to their increasing popularity, availability, and cost effectiveness. Nevertheless, key aspects of this line of research have not emerged yet, since a comprehensive overview of how commercial video games impact on different mental disorders is still missing. In this article, we present a systematic literature review of recent research that focuses on the usage of commercial video games in mental health. We analyse 39 papers and map the relevant themes that are recurrent in the last ten years of research, offering a detailed understanding of the methodological approaches that were used, the results obtained, the main disorders addressed, and the video game genres exploited. On the basis of these findings, we highlight open issues in current work and point out a variety of research opportunities that could be tackled in future years, like the need of conducting more field and longitudinal studies, the necessity of developing the design knowledge, and the possibility of connecting research with clinical practice. [ABSTRACT FROM AUTHOR]

Focuses on the 2001 International Conference on Computer-Aided Ergonomics and Safety held in Maui, Hawaii from July 29 to August 1, 2001. Objective of the conference; Number of themes into which the areas of interest have been grouped; Schedule of conference submission and registration deadlines.

This paper examines how the use of multiple platforms is tied to awareness of algorithms. It builds on the premise that users interact with ecologies or environments of technologies rather than single platforms. The study also supplements work on algorithmic awareness by implementing a mixed-method study to account for how Costa Rican users of Netflix and Spotify understood and related to the algorithms of these platforms. This study combined a survey of 258 participants and 21 in-depth semistructured interviews. Findings demonstrate that multi-platform users were more aware of algorithms and carried out more practical actions to obtain algorithmic recommendations than single-platform users. Although user type did not predict participants' attitudes towards algorithmic recommendations, higher levels of awareness were associated with more positive attitudes towards algorithms. The study also shows that differences in levels of awareness explained users' emotional arousal derived from algorithms. [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]

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]

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]

Location-based activities can challenge citizens to explore their neighbourhood in new playful ways. This paper presents a classification of such playful activities based on the literature and experience gained (1) in co-creation sessions and (2) gameplay for neighbourhood exploration with citizens in the Hague. The location-based game designed for this purpose encouraged neighbourhood exploration and social interaction that went beyond the everyday normal. Results showed that citizens are specifically interested in activities that allow them to discover new information about, and places in, their neighbourhood when these are related to their own life. The results of this paper provide new knowledge on game design to inform designers on which type of interactions and activities foster neighbourhood exploration and social interaction. [ABSTRACT FROM AUTHOR]

QR codes provide potential opportunities to improve interaction in different areas of application. Even so, this technology has been utilised in punctual and specific standalone applications, being barely applied to broader contexts, such as the educational one, where different scenarios can be considered to take advantage of the same QR-code approach. In this paper, key issues for the development of applications that utilise QR codes to improve sharing and availability of resources are presented, specifically focusing on improving interaction and acceptance. In this way, a holistic approach has been developed where the system is aimed at improving the interaction between educators and students. On the one hand, educators use a web interface to manage educational resources and announcements and automatically generate QR codes. On the other hand, students scan those QR codes using a mobile device, obtaining updated information related to their lectures. This scenario has been evaluated by educators and students, obtaining good results in terms of acceptance, cognitive burden, and overall usability. The approach provides development clues and the evaluation method that can be applied to different contexts, thus representing a generalisable solution. [ABSTRACT FROM AUTHOR]

Remote test settings have become more common due to COVID-19. This paper presents two user tests focusing on the usability and user experience of an augmented reality-related solution. We describe the proceeding of the tests from the perspective of what has been conducted face-to-face and remotely. Thereafter, the appropriateness of the used test methodology is evaluated based on (i) the acquired results, (ii) the ease of using and understanding the methods and (iii) the test atmosphere. The physical presence of a person providing technical support to the test participant proved vital for augmented reality-related testing; the location of other test organisers appears more indifferent. Finally, we present the perspectives to contemplate when choosing between face-to-face and remote features in the test setting. [ABSTRACT FROM AUTHOR]

Hijacked journals are cloned websites that resemble the homepages of legitimate journals, whose aim is to collect processing and publication fees from unwary authors. There is a growing recognition that the recent proliferation of these scam sites poses a threat to the integrity of the scientific process. This study presents an approach intended to prevent the indexing of papers published by hijacked journals in scientific databases by using classification algorithms. We will provide an overview of the problem, define key features of hijacked journals, and present a decision tree that can be used to detect hijacked publications. [ABSTRACT FROM PUBLISHER]

Preserving older pedestrians' navigation skills in urban environments is a challenge for maintaining their quality of life. However, existing aids do not take into account older people's perceptual and cognitive declines nor their user experience, and they call upon sensory modalities that are already used during walking. The present study was aimed at comparing different guidance instructions using visual, auditory, and haptic feedback in order to identify the most efficient and best accepted one(s). Sixteen middle-age (non-retired) adults, 21 younger-old (young-retired) adults, and 21 older-old (old-retired) adults performed a navigation task in a virtual environment. The task was performed with visual feedback (directional arrows superimposed on the visual scenes), auditory feedback (sounds in the left/right ear), haptic feedback (vibrotactile information delivered by a wristband), combinations of different types of sensory feedback, or a paper map. The results showed that older people benefited from the sensory guidance instructions, as compared to the paper map. Visual and auditory feedbacks were associated with better performance and user experience than haptic feedback or the paper map, and the benefits were the greatest among the older-old participants, even though the paper-map familiarity was appreciated. Several recommendations for designing pedestrian navigation aids are proposed. [ABSTRACT FROM AUTHOR]

Eye-tracking research is beneficial for better understanding user behaviour in search engines. The present paper presents a comprehensive narrative literature review of eye-tracking studies examining factors influencing users' viewing behaviour on results pages of search engines. Discipline-specific databases from Psychology, Computer Science, and Library and Information Science, as well as one multidisciplinary database have been searched for relevant articles. Criteria for inclusion were that a paper reported empirical results from an eye-tracking study in which effects of a specific factor on users' viewing behaviour on search engine results pages (SERPs) were examined, with inferential statistical results being reported. This led to a set of 41 papers that were further examined. The papers were grouped into three categories according to three types of factors that may affect individuals' web search activities: contextual factors, resource factors, and individual factors. Papers were assigned to these categories and subsequently to sub-categories. Overall, while for some sub-categories robust findings can be reported, we found results in many sub-categories to be inconclusive. For future research, we recommend a shift from small-scale studies examining single factors to more comprehensive and theory-driven research using larger sample sizes. [ABSTRACT FROM AUTHOR]

Understanding the search behaviour of online users is among the long-tail practices of Interactive Information Retrieval that helps identify the user information needs. The Interactive Social Book Search (SBS), under the umbrella of Interactive Information Retrieval (IIR), aims to understand the user interactions with book collections and the associated professionally-curated and socially-constructed metadata on the baseline and multistage user interfaces (UIs). This paper reports on the book search behaviour of users by reviewing research publications related to the Interactive SBS published during the last two decades. It presents a holistic view of the overall progress of Interactive SBS by summarising and visualising the experimental structure, search systems, datasets, demographics of participants, and findings to identify the research trends and possible future directions. Based on the collected evidence, it attempts to answer how the search system, user interface (UI), and the nature of tasks affect the book search behaviour of users. The article is the first of its kind that attempts to understand the book search behaviour of users in the context of Social Book Search with implications for usability experts and others working in UI design, web search engines, book search engines, digital libraries, collaborative social cataloguing websites, and e-Commerce applications. [ABSTRACT FROM AUTHOR]

Context: Gamification focuses on the improvement of users' engagement when performing tasks by making use of game mechanics and elements in order to increase their motivations. Many researches have developed gamification models supporting a variety of motivational characteristics to provide engagement solutions for different areas. Objective: This paper carries out a systematic mapping in the field of gamification, looking for models with motivational characteristics in an attempt to characterise the state of the art of this field, identifying gaps and tendencies for further research. Method: We carried out a systematic mapping aiming at finding the primary studies in the existing literature, which were later classified and analysed according to twelve criteria. Results: We analysed 70 papers that resulted in 17 primary studies, published until September 2016. Most of them focus on Education, making use of Gamification to increase the motivation of a learning process. The gamification mechanics and elements most used were Badges/Achievements and Points/ExperiencePoints(XP), and most of the studies were not validated, thus not providing empirical evidence of the impact of gamification. Conclusions: Existing research in the field is somehow preliminary, and more research effort to analyse the applicability of the models and their respective evaluations would be needed. [ABSTRACT FROM AUTHOR]

Virtual reality (VR) training offers the capability to industrial workers to acquire skills and address complex tasks by immersing them in a safe and controlled virtual environment. Immersive VR (IVR) training is adopted in many diverse settings, yet little systematic work currently exists on how researchers have applied it for industrial skills training and if it holds the potential to be applied remotely. In this review, 78 representative studies were analysed to answer three key questions: Is IVR an effective training method for industrial skills training? How is research in this field applied? And how can we make IVR training more effective and applicable for remote training? We can testify that IVR is a promising training method with high effectiveness scores. However, our analysis has uncovered several gaps in the application of IVR training, like the lack of learning theories in the design process and limited metrics beyond time and scores. Additionally, our review also exposed unexplored but intriguing avenues of research, like the utilisation of biosensors for users' data collection, haptics that increases realism and applications with remote training potential. [ABSTRACT FROM AUTHOR]

Creativity's importance to organisations and businesses is now recognised to be a precondition for both design and innovation. One strategy is to introduce new forms of information system that support human creative thinking by their employees. Most successful uses have been in professional disciplines in the creative industries such as design and theatre. This paper reports the design and evaluation of a new information system that was researched and developed to support human creativity in a non-creative industry – health-and-safety in a manufacturing plant. An established risk detection and resolution process in one plant was extended with the new system to support plant employees to think creatively about resolutions to health-and-safety risks. The new system was used in a manufacturing plant for over 3 months. Results revealed that a subset of the risk resolutions generated with the new system were more creative and more complete than risk resolutions generated without the system in a corresponding period. However, the employees needed more time than was available to generate more complete risk resolutions. The evaluation results led to coordinated changes to both the information system and work practices associated with it. [ABSTRACT FROM AUTHOR]

Nowadays, new technologies are taking place for enabling conversational interactions between users and bots. Creating conversational interfaces (CI) paves the way for new design challenges. Designers need to use appropriate design specifications for creating a logically sound dialogue endowed with proper visual cues in the case of chatbots that captures the entire user experience. To do it they need the help of domain experts. Experts in mobility, environment, energy, e-health, weather, etc., are the only ones who well-know the specific domain in which the bot will act. Current tools used to design interactive flows of dialogue entail deep programming skills their users need to know. Starting from this consideration, the paper proposes a design environment that offers experts the possibility to design a flow of dialogue without getting lost in technicalities. By using visual language, the expert can specify intents, actions, entities and parameters at the base of the flow of dialogue on which the bot will be created. Then, our engine automatically translates into a bot compliant with the Google DialogFlow technology. Finally, the paper present a preliminary analysis of the system carried out to test its features and how these are reflected in its ease of use. [ABSTRACT FROM AUTHOR]