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Usability—the extent to which a system can be operated to achieve specified goals with effectiveness, efficiency, and satisfaction—is a hallmark of many successful systems. Identifying usability concerns with existing measures, however, can be problematic. We use biased competition theory (BCT) to explain how interfaces with low usability create attentional interference, which can be measured through mouse movement efficiency (MME). We tested our hypotheses in four studies. Study 1 manipulates attentional interference and examines its influence on MME using eye tracking to validate BCT as an appropriate theoretical lens for our research. Study 2 manipulates usability and shows similar markers of attentional interference in MME on a website with two different populations. Study 3 is a field test that compares the reliability of MME in ranking the usability of different components of a commercial web application to rankings produced by a common perceptual measure of usability: perceived ease of use. Collaborating with a Fortune 100 software vendor, Study 4 further demonstrates the efficacy of MME in ranking the usability of various system components compared to a standard industry measure of usability across three different products. The results consistently show that MME can help identify usability differences among parts of systems. The results have implications for facilitating more efficient and temporally precise usability research and mass-deployable usability testing. [ABSTRACT FROM AUTHOR]

This study explored how computer anxiety and technology acceptance played roles in online learning interests among social work students. The study with cross-sectional and purposive sampling methods recruited 151 social work students in a Midwest school of social work program. Hierarchical multivariate regression revealed that a high level of computer anxiety was related to a low level of online learning interests. Conversely, a high level of technology acceptance (perceived usefulness) was associated with a high level of online learning interests. Social work programs may consider developing and providing appropriate technological training, reducing technological barriers, and obtaining feedback from students for their online learning experience to increase online learning interests by reducing computer anxiety and increasing technology acceptance. [ABSTRACT FROM AUTHOR]

The consequences of an aging society pose one of the major challenges of our time. Technology solutions that alleviate the strain on the overburdened healthcare system can effectively support individuals needing assistance. Still, technology acceptance is a crucial variable in understanding what drives users to utilize such applications. This study examined the role of trust and privacy in the accepted use of ambient technologies for health-related purposes. Using an online survey we collected data from N = 102 respondents. Findings revealed that participants are willing to use ambient technology for health. Benefits and barriers are traded off, whereby the advantages outweigh the perceived barriers. Trust conditions to be fulfilled include data security, technical soundness, and health-related aspects. Having control over personal information results as the most important privacy aspect, followed by the supervision of social contacts. Regression analyses revealed perceived motives and barriers, technical soundness, and health-related trust to be significant predictors of acceptance. [ABSTRACT FROM AUTHOR]

Ubiquitous digitalization combined with recent crises has increased the drive to develop new virtual tourism (VT) offerings. However, the factors influencing end-users' adoption, participation and, most crucially, their readiness to pay have yet to be sufficiently investigated. In the paper, we test behavioral intentions regarding VT experiences and their actual use. We integrate the extended unified theory of acceptance and use of technology (UTAUT2) with perceptions of travel risk, past behavior and measurement of actual behavior – the decision to participate and pay for a VT experience. Data were collected from 660 participants, half of whom were offered the virtual tourism experience for free and the other half for a payment. The results show a strong overall intention to use virtual tourism and that the UTAUT2 extended precedents predict it well. Still, once the user is asked to pay for the virtual experience, actual participation rates drop significantly, and strong behavioral intentions are not good predictors of actual behavior. While free virtual tourism experiences might see wide use, ones that are paid for must be carefully crafted. [ABSTRACT FROM AUTHOR]

Understanding public perception of technology is crucial to aligning research, development, and governance of technology. This article introduces micro scenarios as an integrative method to evaluate mental models and social acceptance across numerous technologies and concepts using a few single-item scales within a single comprehensive survey. This approach contrasts with traditional methods that focus on detailed assessments of as few as one scenario. The data can be interpreted in two ways: Perspective (1): Average evaluations of each participant can be seen as individual differences, providing reflexive measurements across technologies or topics. This helps in understanding how perceptions of technology relate to other personality factors. Perspective (2): Average evaluations of each technology or topic can be interpreted as technology attributions. This makes it possible to position technologies on visuo-spatial maps to simplify identification of critical issues, conduct comparative rankings based on selected criteria, and to analyze the interplay between different attributions. This dual approach enables the modeling of acceptance-relevant factors that shape public opinion. It offers a framework for researchers, technology developers, and policymakers to identify pivotal factors for acceptance at both the individual and technology levels. I illustrate this methodology with examples from my research, provide practical guidelines, and include R code to enable others to conduct similar studies. This paper aims to bridge the gap between technological advancement and societal perception, offering a tool for more informed decision-making in technology development and policy-making. [ABSTRACT FROM AUTHOR]

ChatGPT is an AI tool that assisted in writing, learning, solving assessments and could do so in a conversational way. The purpose of the study was to develop a model that examined the predictors of adoption and use of ChatGPT among higher education students. The proposed model was based on a previous theory of technology adoption. Seven predictors were selected to build a model that predicted the behavioral intention and use behavior of ChatGPT. The partial-least squares method of structural equation modeling was used for data analysis. The model was found to be reliable and valid, and the results were based on a self-reported data of 534 students from a Polish state university. Nine out of ten proposed hypotheses were confirmed by the results. Habit was found to be the best predictor of behavioral intention, followed by performance expectancy and hedonic motivation. The dominant determinant of use behavior was behavioral intention, followed by personal innovativeness. The research highlighted the need for further examination of how AI tools could be adopted in learning and teaching. [ABSTRACT FROM AUTHOR]

Connected and autonomous vehicles (CAVs) will greatly impact the lives of individuals with visual impairments, but how they differ in expectations compared to sighted individuals is not clear. The present research reports results based on survey responses from 114 visually impaired participants and 117 panel recruited participants without visual impairments, from Germany. Their attitudes towards autonomous vehicles and their expectations for consequences of wide-spread adoption of CAVs are assessed. Results indicate significantly more positive CAV attitudes in participants with visual impairments compared to those without visual impairments. Mediation analyses indicate that visually impaired individuals' more positive CAV attitudes (compared to sighted individuals') are largely explained by higher hopes for independence, and more optimistic expectations regarding safety and sustainability. Policy makers should ensure accessibility without sacrificing goals for higher safety and lower ecological impact to make CAVs an acceptable inclusive mobility solution. IMPLICATIONS FOR REHABILITATION: Autonomous vehicles can significantly enhance the independence of individuals with visual impairments by providing a reliable and convenient mode of transportation. Autonomous vehicles could offer advanced wayfinding capabilities, including indoor navigation in complex environments, which can be particularly beneficial for people with visual impairments. Comprehensive training programs should be available to help individuals with visual impairments become familiar with autonomous vehicle technology, ensuring they can use it effectively and confidently. Regular feedback from individuals with visual impairments should be sought during the design and development phases to ensure that their specific needs and preferences are taken into account. [ABSTRACT FROM AUTHOR]

Background: The uptake of traditional mental health services among older adults remains low. Digital peer support offers older adults a resource for engaging with others to independently support their mental well‐being. This qualitative study explored the uptake and engagement of a clinically moderated digital peer support platform (Breathing Space) for older adults with depressive symptoms and alcohol use concerns. Methods: Semi‐structured interviews with 30 participants aged 60–80 years explored participants' uptake and engagement with Breathing Space, a novel, moderated, private, and anonymous peer support platform. Data were analysed using reflective thematic analysis and are discussed with reference to the Unified Theory of Acceptance and Use of Technology2. Results: Three themes were constructed to characterize participants' experiences: (i) navigating the complexities of peer‐peer online engagement; (ii) the function of anonymity in online connection; and (iii) experiences of app features and content. Conclusions: Future development of digital peer support for older adults would benefit from the following: (i) co‐design with older adults; (ii) providing choice over anonymity and increased options for interacting with peers; (iii) streamlining the basic functionality with popular platforms; (iv) providing options for users to curate their digital experience; and (v) providing telephone support for troubleshooting technical difficulties. Future research should explore the use of digital peer support among older adults who experience social exclusion challenges. [ABSTRACT FROM AUTHOR]

Ingredients for leadership development include strategic intent, sensibility, knowledge, analytic acuity, and the confidence to make tough calls. Emergencies highlight the importance of technical progress and the opportunity to enhance design and productivity. Significant technological and organisational barriers hinder acceptance of these technologies; hence it is necessary to employ strategy. Research should be at the system's heart through planned and unplanned transitions. The vision of building and maintaining business resilience and organising swift changes includes using perceptual methods. With this view, leaders can make deliberate decisions. It also tends to disrupt traditional approaches to dexterity. At the same time, strategic flexibility necessitates an evident connection between the business and the institution's mission. A leader's positive strategic intent is core that better enables investment in crisis response competencies. It includes timely use of knowledge management, organisational learning frameworks, business strategy, and system agility. Many nations in the developing world have simultaneously experienced the rise of digitisation and the spread of the covid-19 epidemic. Thus, academics should focus on the difficulties and prospects associated with people, groups, and management. [ABSTRACT FROM AUTHOR]

Occupational Health and Safety (OHS) education is essential for preparing engineering students to maintain safety standards and prevent workplace hazards. Traditional learning resources, such as textbooks, can be time‐consuming and inadequate for immediate, context‐specific queries. Advanced AI chatbots offer interactive and immediate feedback, but they often lack specificity and depend on users' prompting skills, which not all students possess. This study introduces "Genie‐on‐Demand," a custom AI chatbot designed to address students' queries with precise, curriculum‐aligned responses. Educators can train the chatbot using specific learning materials by uploading PDFs, ensuring relevant and accurate answers. A quasi‐experimental study was conducted with 106 electrical engineering students divided into three groups: those using the custom chatbot, those using a conventional chatbot (ChatGPT), and those employing traditional learning methods. Results demonstrated that the custom chatbot significantly improved learning performance, self‐efficacy, and technology acceptance compared to other methods. Students reported increased confidence and effectiveness in using the custom chatbot as a learning assistant. This study highlights the potential of customized AI solutions in education, with versatile applications across various disciplines. [ABSTRACT FROM AUTHOR]

Objectives: This study investigates the changing perceptions of Korean care workers regarding a robotic bed designed to assist with repositioning and prevent pressure ulcers. With the primary aim of assessing the technology acceptance among care workers using the robotic bed to solve the problem of a shortage of care workers in Korea, we sought to examine the possibility of applying care robots in the field. Methods: A total of 20 long-term care workers participated in the experiment, and their attitudes were measured before and after using the robot. Frequency analysis and paired t-tests were conducted using Stata 17 to analyze the data. Results: The results show significant changes in the perceived ease of use (PEOU), facilitating conditions (FCs), and gerontology anxiety (GA), with the PEOU increasing by 19.87%, FC increasing by 20.63%, and GA decreasing by 17.2%. However, there was no significant change in the perceived usefulness (PU) and intention to use (IU). Conclusions: The results showing that the perception of technology acceptance changed significantly mean that the use of the care robot means that there is a high possibility of positive perceptions in Korean care settings when care robots are distributed in the field in the future, considering that the experimental environment was limited due to the early stage of development of care robots. This study highlights the need for practical demonstrations and thorough training to improve technology acceptance among care workers before the application of care technology in the long-term care environment in South Korea. [ABSTRACT FROM AUTHOR]

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

The accelerating climate crisis is driving a rapid increase in interest in climate technologies aimed at overcoming it. However, even if effective technologies emerge, their impact may be hindered without public acceptance. Therefore, it is necessary to analyze the factors that influence the acceptance of new climate technologies. This exploratory study investigates the key factors influencing public acceptance and the recommendation of climate technologies in South Korea. Utilizing an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model, survey data from 200 participants were analyzed. The study identified that facilitating conditions, innovativeness, social influence, and trust in government are the most significant predictors of public intent to accept or recommend climate technologies. The results highlight the critical role of strategic communication, infrastructure, and public trust in promoting the adoption of climate solutions. Furthermore, qualitative interviews suggest that a shift towards Personally Determined Contributions (PDCs) could empower individuals to become proactive agents in climate action. The study offers valuable insights for policymakers, providing a strategic direction to enhance the public's engagement with climate technologies and foster a more sustainable future. [ABSTRACT FROM AUTHOR]

AbstractArtificial Intelligence Generated Content (AIGC) has shown significant potential in design, driven by advancements in artificial intelligence technology. However, understanding designers’ willingness to embrace this technology and the factors influencing their decision-making requires further research. In this study, we develop a theoretical model of user behavioral intention in AIGC-assisted design, drawing upon the Diffusion of Innovations theory and the Unified Theory of Acceptance and Use of Technology. Through empirical analysis using the PLS-SEM structural equation model, we investigate the mechanisms behind various influencing factors on behavioral intention. Our findings highlight the relative advantage as the most significant positive factor, emphasizing the importance of the innovation’s benefits in the Diffusion of Innovations theory. Designers prioritize the innovation and assistance provided by AIGC technology in the design process and ideas, recognizing the advantages of the innovation itself over mere performance improvement. This study provides valuable insights into the psychological and behavioral mechanisms guiding designers’ decision-making regarding the application of AIGC technology in design. [ABSTRACT FROM AUTHOR]

AbstractOccupational exoskeletons constitute a new assistive technology for industrial workers. In the social context of the workplace, colleagues are likely to react to the noticeable appearance of these devices. Drawing on established technology acceptance theories and recent exoskeleton research, we addressed the following issues: (1) What is the effect of co-worker feedback and self-perceived attractiveness on workers’ intention to use an exoskeleton over time? And (2) do these variables predict intention to use beyond perceived usefulness and ease of use? We examined these questions in a one-week diary study with 22 industrial workers. They tested passive exoskeletons during their regular work for six consecutive days and completed a short questionnaire including evaluations of perceived usefulness, ease of use, attractiveness, and social feedback received on a daily basis. The collected data were analyzed using hierarchical linear models (HLM). Results showed that usefulness (but not ease of use) significantly predicted intention to use an exoskeleton. Over and above, self-perceived attractiveness significantly affected initial intention to use, whereas the effects of social feedback unfolded over time. Our study contributes to a better understanding of the social dynamics experienced by users of wearable technology. [ABSTRACT FROM AUTHOR]

Rapid technological advancements have drawn increased attention to consumers' intention to use mobile banking (m-banking). This study addresses the gaps in understanding the determinants of this behavioral intention by introducing a novel research model that amalgamates constructs from three perspectives: diffusion of innovation, the extended unified theory of acceptance and use of technology, and gamification. Analyzing data from four Western Balkan countries, the study employs partial least square–structural equation modeling to confirm the model's robustness. Key factors influencing m-banking intention include compatibility, performance expectancy, facilitation conditions, hedonic motivation, and gamification. These findings provide valuable insights for scholars and practitioners, enabling model refinement and application improvements to enhance consumer acceptance. [ABSTRACT FROM AUTHOR]

A pilot study was undertaken between March 2019 and September 2021, loaning socially assistive robots (SARs) for a 7-day trial to older people living alone in China. Quantitative assessments of participants' acceptance of technology and loneliness were conducted before and after the intervention, supplemented with qualitative interviews. Unexpectedly, participants' intention to use SARs decreased significantly, largely due to emotional anxiety. Meanwhile, participants' level of loneliness remained unchanged. Follow-up interviews revealed anxious emotion, hesitant attitudes, unreal social presence, usability difficulties as contributing factors. The study provides social workers with valuable insights into introducing SARs into community care of older people. [ABSTRACT FROM AUTHOR]

There is an actual trend for humanizing technological artifacts, especially social robots. However, human‐like social robots trigger negative attitudes by threatening human uniqueness as well as humanness. The present paper presents the development of the Belief in Human Nature Uniqueness Scale (BHNUS) to assess the individual tendency to deny social robots the possibility to have human features considered to be the hallmarks of humanness. The validation of the BHNUS was completed along seven studies, with a total of 1044 Portuguese participants. Results showed that BHNUS had good structural qualities (Studies 1 and 2), as well as good convergent and discriminant validities. BHNUS was correlated with negative attitudes towards robots, religiosity, and interest for science fiction (Study 3), attribution of traits of warmth to robots (Study 4), positive and negative emotional appraisal (Study 5), perspective taking (Study 6), and attitudes towards the development of robots with human features (Study 7). The importance of the BHNUS regarding the development of social robots and human–robot interaction is discussed. If you were to insist I was a robot, you might not consider me capable of love in some mystic human sense, but you would not be able to distinguish my reactions from that which you would call love so what difference would it make? Isaac Asimov (1982) in Foundation's Edge, p. 420 [ABSTRACT FROM AUTHOR]

Purpose: This scoping review aims to identify evidence on older adults' acceptance of PA VR games in LTC facilities, describe research designs used, define key acceptance concepts, and identify knowledge gaps for future research. Materials and methods: Following Arksey and O'Malley's framework, data from published and unpublished articles (Jan 2000–May 2023) were collected. Twelve databases and additional sources were searched for studies on LTC residents (≥65 years), PA video games (including VR and console games), acceptance, and attitudes. Data extraction included article details, design, population, intervention, outcomes, and limitations. Results: Five studies met inclusion criteria from 1628 initial titles. They assessed acceptance of PA VR games among older adults in LTC facilities, showing varying levels of acceptance. Most studies used analytical designs, including RCTs. Key concepts of VR acceptance were poorly defined, with only one study using a validated TAM questionnaire. Knowledge gaps highlight the need for further research to understand PA VR acceptance among older adults in LTC facilities. Conclusion: Validated acceptance questionnaires are needed in study of VR acceptance by older adults. Use of qualitative and quantitative methods can enhance understanding of technology acceptance, alongside exploration of individual, environmental, and age-related factors. Detailed reporting of VR interventions is recommended to comprehend acceptance factors. Implications for Rehabilitation: Enhancing engagement: We suggest that physical activity (PA) virtual reality (VR) games can improve engagement among long-term care (LTC) residents. By providing a novel approach to rehabilitation, PA VR games have the potential to increase motivation and participation, leading to improved outcomes. Promoting physical and cognitive stimulation: VR games offer opportunities for both physical and cognitive stimulation. By integrating these games into rehabilitation programs, we can provide a more engaging and interactive experience for individuals undergoing rehabilitation. This can contribute to motor skills development, balance training, cognitive function, and overall well-being. Addressing barriers to rehabilitation: Traditional rehabilitation approaches may face various barriers, such as lack of interest, adherence issues, or limited resources. The use of VR games can help overcome some of these barriers by offering a more enjoyable and accessible rehabilitation experience. This is particularly beneficial for individuals with mobility limitations or those residing in LTC facilities. In summary, our study highlights the potential of incorporating VR games into rehabilitation settings. By implementing these findings, we can improve the acceptance and efficiency of rehabilitation practices, leading to better rehabilitation outcomes for individuals. [ABSTRACT FROM AUTHOR]

It is crucial to understand the mechanism of how people perceive and accept Shared Autonomous Vehicles (SAVs) to realize the benefits that they will bring to transport networks, including increased safety on the roads. Experience with semi-automated cars and Autonomous Vehicle (AV) demonstration projects has been shown to positively affect acceptance of AVs, however automated transport technologies have been adopted in practice for years such as automated railways and aircraft autopilot; whether there are any connections between exposure to automated railways and aircraft autopilot and acceptance of SAVs is not well known. We explored the connections between trust in safety, knowledge of, and experience with automated railways, aircraft autopilot, and ADAS and intention to use a SAV. We surveyed individuals from Korea National University of Transportation (KNUT) in Chungju, Korea (n = 226), who will soon be able to use a SAV service, and adopted a model based on the Technology Acceptance Model (TAM). We found there to indeed be a connection between exposure to and trust in the safety of existing automated transport modes and acceptance of a SAV. Constructs with the strongest effects were found to be trust in safety of automated transport, hedonic motivation, perceived ease-of-use, perceived usefulness, and knowledge of automated transport. Experience with automated railways, but not semi-automated cars, was found to negatively moderate the relationship between hedonic motivation and intention to use a SAV. We discuss the policy implications of these results. [ABSTRACT FROM AUTHOR]

The Metaverse, characterized as an interactive and immersive 3D virtual world, is widely recognized for its considerable potential across a range of industries. However, the long-term viability and success of the Metaverse are contingent upon the extent to which users accept and adopt it. Despite this critical aspect, there is a scarcity of research that investigates the factors influencing user acceptance of the Metaverse. To address this research gap, the present study expands upon the technology acceptance model by integrating social and psychological constructs such as social interaction, social presence, conformity, emotional attachment, flow, and perceived enjoyment. The data for this study were obtained through an online survey. A total of 418 responses were collected from Metaverse users, with a response rate of 84%. Partial least squares structural equation modeling was used to analyze the survey data. Results showed that: (1) perceived ease of use (β = 0.214, p < 0,001), emotional attachment (β = 0.375 p < 0,001), and enjoyment (β = 0.194, p < 0,001) could have a positive effect on perceived usefulness; (2) emotional attachment (β = 0.142, p = 0.018), enjoyment (β = 0.179, p = 0.008), and social presence (β = 0.183, p = 0.008) could have a positive effect on perceived ease of use; (3) perceived usefulness (β = 0.432, p < 0,001), perceived ease of use (β = 0.106, p = 0.011), emotional attachment (β = 0.209, p < 0,001), and social interaction (β = 0.209, p < 0,001) have a positive effect on attitudes toward using the Metaverse; (4) perceived usefulness (β = 0.174, p = 0.001), attitudes (β = 0.35, p < 0,001), flow (β = 0.128, p = 0.011), and social interaction (β = 0.106, p = 0.015) could positively influence users' intention to use the Metaverse. However, social presence could not significantly influence perceived usefulness (β = 0.078, p = 0.141). These results offer important implications for developers and practitioners looking to design and promote the utilization of the Metaverse. [ABSTRACT FROM AUTHOR]

The research on technologies and methodologies for (accurate, real-time, spontaneous, three-dimensional...) facial expression recognition is ongoing and has been fostered in the past decades by advances in classification algorithms like deep learning, which makes them part of the Artificial Intelligence literature. Still, despite its upcoming application to contexts such as human–computer interaction, product and service design, and marketing, only a few literature studies have investigated the willingness of end users to share their facial data with the purpose of detecting emotions. This study investigates the level of awareness and interest of 373 potential consumers towards this technology in the car insurance sector, particularly in the contract drafting phase, with a focus on differentiating the respondents between generation Y and Z. Results show that younger people, individuals with higher levels of education, and social network users feel more confident about this innovative technology and are more likely to share their expressive facial data. [ABSTRACT FROM AUTHOR]

Emerging information and construction management technology (EICMT) has become prevailing in the architecture, engineering, and construction (AEC) industry to achieve digital transformation by applying emerging information technologies (i.e., Internet of things, cloud computing, and mobile Internet) in construction management works (i.e., cost management, stakeholder management, on-site construction management, etc.). This study aims to test the relations between organizational elements and building professional EICMT implementation and explore its practical path by identifying the mediators and moderators. 507 valid responses were obtained using the questionnaire online. Mplus 8.0, a statistical analysis software that prevails in handling complex models, is used for path analysis and bootstrapping tests in this study. Path analyses are conducted to test the relations between organizational elements and EICMT implementation. Bootstrapping tests are used to identify the mediator and moderator. The finding reveals that corporate normative pressure and technology facilitating conditions can directly affect building professional EICMT implementation; the mediating role of perceived ease of use is verified between technology facilitating condition and building professional EICMT implementation, and the moderating effect of top management support is confirmed by remodeling the relations between organizational elements and EICMT implementation, which provides a boundary condition for the building professionals' EICMT implementation. Our study extends the relations between organizational elements and building professional EICMT implementation by exploring the mediator role of perceived ease of use and moderator of top management support. The findings from this study can enrich the research on the antecedents of EICMT implementation in the AEC industry. Moreover, this study provides guidelines for practitioners to formulate corporate norms, foster corporate culture, and provide technology facilitating conditions to promote EICMT implementation. It also requires top management to engage in digital transformation in the AEC industry. Practical Applications: Emerging information and construction management technology (EICMT) is applied to improve project management efficiency in the AEC industry. Construction enterprises make several efforts to encourage their building professionals to implement EICMT, such as formal norms and informal culture, but the implementation of EICMT is contentious in practice. This study recommends that corporate normative pressure, technology-facilitating conditions, and top management support are crucial for the EICMT implementation in building professionals. Besides, building professionals prefer to select technologies that are easy to use rather than practical. Therefore, construction enterprises should formulate formal norms related to EICMT implementation to evaluate building professionals' job performance, which can urge employees to apply EICMT in their daily work and also provide rewards for these employees who use EICMT in their jobs and improve work outcomes. Moreover, construction enterprises can provide convenient conditions on EICMT to encourage building professionals to accept EICMT, such as training, operation manuals, and professional guidance. Construction enterprises' top managers should actively participate in EICMT promotion by implementing EICMT in daily work, communicating EICMT with their employees, and recognizing its benefits. [ABSTRACT FROM AUTHOR]

Over the last decades, e-grocery has spread less quickly than other retail e-channels due to technical (logistics, cold chain management) and commercial reasons (little acceptance by consumers) thus remaining a niche phenomenon. The Covid19 pandemic has given a boost to the development of e-grocery as many brick-and-mortar supermarkets chains have deployed specific industrial projects to provide omnichannel grocery shopping solutions. Rather than focusing on an online strategy only, brick-and-mortar companies have indeed adopted strategies such as the click and collect delivery models. While the technological, organisational and business dimensions of such solutions have been widely explored, there are still few studies exploring the acceptance of these specific solutions by customers as the new normal grocery shopping. This study aims at investigating the acceptance and intention to use of these solutions by the customers of a prominent supermarket chain in Italy. The Unified Theory of Acceptance and Use of Technology was adopted for the study. An online purchase frequency moderator was added to the model to check whether there are differences among retail and grocery purchases. [ABSTRACT FROM AUTHOR]

This paper outlines innovative pedagogical approaches in chemical engineering safety education, utilising three key strategies: (1) Integration of the direct experiences of experienced professional engineers to teach expertise-aligned process safety case studies; (2) Shifting from traditional short oral presentations to more comprehensive and dynamic 'engineering meeting' formats to drive constructive student learning; and (3) The use of Generative AI to enhance (1) and (2), with cost/time scalability, improved student access and by accommodating greater learning-style diversity. Evaluation of these educational innovations is performed through a mixed-methods approach and reveals positive impacts on student learning and engagement. The paper provides a detailed outline of classroom implementation, with supporting resources, for straightforward integration by other academics. • Process safety education can be significantly enhanced by including late-career professional industry consultants and semi-retired engineers. • Generative AI roleplaying as industry consultants, can provide greater scale, student access and cater to more diverse learning styles of students. • Generative AI chatbots can be used to simulate in viva style assessment formats of process safety incident case studies. Vivas encourage more comprehensive understanding and root cause analysis of process safety incidents, when compared to commonly used short oral presentations, which can drive reductive cause-effect explanations. • A small subset of students express a preference for AI teaching tools (over in-person meetings) because of social or performance anxieties. [ABSTRACT FROM AUTHOR]

The primary objective of this paper is to investigate the interplay between individual self-efficacy (SE) and the adoption of business intelligence (BI) tools, and their combined effects on organizational agility and performance. This research offers a novel perspective by examining the relationship between individual SE and BI tools together, which was neglected in the previous research, shedding light on how these factors collectively influence organizational performance and agility. The importance of this study addresses the crucial need for understanding the role of individual capabilities in leveraging BI tools, especially in the context of rapidly changing environments. The study employs a quantitative approach to examine the proposed model. A survey was conducted with 174 respondents from private and public organizations in Jordan. The findings reveal significant and positive impacts of individual experiences, vicarious experiences (VE), and psychological feedback (PS) on SE. Moreover, the study demonstrates that SE significantly and positively influences the utilization of BI tools, consequently affecting organizational agility and performance. The significance of the study findings lies in its ability to bridge the gap between individual capabilities and the effective utilization of BI tools to equip businesses with invaluable insights for enhancing their decision-making processes. [ABSTRACT FROM AUTHOR]

In recent years, there has been a widespread integration of virtual reality (VR) technology across various sectors including healthcare, education, and entertainment, marking a significant rise in its societal importance. However, with the ongoing trend of population ageing, understanding the elderly's acceptance of such new technologies has become a focal point in both academic and industrial discourse. Despite the attention it garners, there exists a gap in understanding the attitudes of older adults towards VR adoption, along with evident needs and barriers within this demographic. Hence, gaining an in-depth comprehension of the factors influencing the acceptance of VR technology among older adults becomes imperative to enhance its utility and efficacy within this group. This study employs renowned databases such as WoS and Scopus to scrutinize and analyze the utilization of VR among the elderly population. Utilizing VOSviewer software (version 1.6.20), statistical analysis is conducted on the pertinent literature to delve into research lacunae, obstacles, and recommendations in this domain. The findings unveil a notable surge in literature studies concerning VR usage among older adults, particularly evident since 2019. This study documents significant journals, authors, citations, countries, and research domains contributing to this area. Furthermore, it highlights pertinent issues and challenges surrounding the adoption of VR by older users, aiming to identify prevailing constraints, research voids, and future technological trajectories. Simultaneously, this study furnishes guidelines and suggestions tailored towards enhancing VR acceptance among the elderly, thereby fostering a more inclusive technological milieu. Ultimately, this research aspires to establish an encompassing technological ecosystem empowering older adults to harness VR technology for enriched engagement, learning, and social interactions. [ABSTRACT FROM AUTHOR]

This study examines the dynamics of human reliance on algorithmic advice in a situation with strategic interaction. Participants played the strategic game of Rock–Paper–Scissors (RPS) under various conditions, receiving algorithmic decision support while facing human or algorithmic opponents. Results indicate that participants often underutilize algorithmic recommendations, particularly after early errors, but increasingly rely on the algorithm following successful early predictions. This behavior demonstrates a sensitivity to decision outcomes, with asymmetry: rejecting advice consistently reinforces rejecting advice again while accepting advice leads to varied reactions based on outcomes. We also investigate how personal characteristics, such as algorithm familiarity and domain experience, influence reliance on algorithmic advice. Both factors positively correlate with increased reliance, and algorithm familiarity significantly moderates the relationship between outcome feedback and reliance. Facing an algorithmic opponent increases advice rejection frequencies, and the determinants of trust and interaction dynamics differ from those with human opponents. Our findings enhance the understanding of algorithm aversion and reliance on AI, suggesting that increasing familiarity with algorithms can improve their integration into decision‐making processes. [ABSTRACT FROM AUTHOR]

Background: Abortion and its complications have always been associated with challenges such as the lack of awareness, high cost of receiving in-person services, lack of access to the skilled healthcare workers, distance from healthcare centers in remote areas, and cultural sensitivities. Therefore, the use of mobile health technology in post-abortion care has been suggested. This study aimed to investigate factors influencing the acceptance and use of mhealth technology in post-abortion care. Method: A mixed-methods study was completed in 2023. Initially, a literature review was conducted. Then, a five-point Likert-scale questionnaire was designed based on the results of the literature review. The research participants were gynecologists (n = 24), midwives (n = 38), and women who had experience of abortion (n = 183). Data were analyzed using descriptive and inferential statistics. Results: The findings revealed that the participants had different opinions about the importance of motivating and inhibiting factors which included individual, technical, economic, organizational, and ethico-legal aspects. It seems that the individual, organizational, economic, and ethico-legal motivating factors as well as the ethico-legal inhibiting factors were more important than other factors and had higher mean values. In addition, there was a statistically significant difference between the mean values of gynecologists and patients regarding the individual motivating (P = 0.014) and technical inhibiting factors (P = 0.016). The gynecologists' opinions regarding the technical motivating factors were also significantly different from midwives (P = 0.044) and patients (P = 0.010). Conclusion: Multiple factors may influence the acceptance and use of mhealth technology in post-abortion care. Therefore, mhealth service developers must consider these factors to improve the quality of services and increase technology adoption. This will lead to saving costs, improving health, reducing abortion complications, and ultimately improving quality of life for women. However, further research in patient engagement and health interventions tailored to diverse cultural contexts are recommended. [ABSTRACT FROM AUTHOR]

AbstractThe purpose of this study is to answer the question of what might happen if workers are constantly bombarded by technological stimuli at work. It seeks to scrutinize the influence of technostress and job burnout (JB) under the moderating effect of technology acceptance. The study includes employees at Egyptian travel agencies. A random sampling method was employed. 545 questionnaires were handed out, and 343 were returned and valid for analysis. The PLS-SEM analysis method was used to test hypotheses. Results indicate that among technostressors, techno-overload and techno-complexity are important predictors of JB. It also implies that technology acceptance moderates its effect on JB. [ABSTRACT FROM AUTHOR]

The study examines the behavioral intention to use an AI doctor at the individual level at primary, secondary, and tertiary care levels. The research model has been designed according to the unified theory of acceptance and use of technology to understand the acceptance and use of an AI doctor at the individual level. The causal comparison screening approach, which is used to identify the causes and effects of people's attitudes, behaviors, ideas, and beliefs, has been employed. This study utilized a hybrid analysis methodology combining two-phase analysis using partial least squares structural equation modeling and evolving artificial intelligence named deep learning (Artificial Neural Network) on 432 usable responses. The first step was using structural equation modeling to examine the hypotheses; then the nonlinear interactions between the variables have been examined using an artificial neural network. According to the analysis results, perceived task-technology fit, perceived privacy, performance expectancy, and social influence constructs affecting the intention to use an AI doctor in primary, secondary, and tertiary levels of care are the main constructs. A strong behavioral intention exists at all levels of healthcare, primary, secondary, and tertiary, to use an AI doctor for individual-level healthcare. [ABSTRACT FROM AUTHOR]

Background: As the elderly population rapidly grows, age-related health issues are increasing. Telemedicine helps older adults adapt by providing efficient and accessible health management and medical services. Objectives: This study employs bibliometric analysis to examine research focus areas, emerging trends, and collaboration networks in telemedicine for older adults over the past three decades. Methods: The Web of Science Core Collection served as the primary data source for the publications on telemedicine and the elderly since the database's inception through June 2024. Using CiteSpace.6.2.R4 software, keyword and collaboration network visualizations were generated, including clusters, co-authors, and co-citations. Results: This study analyzed 586 papers from 252 countries or regions, which were published across 246 journals and written by 2750 authors. Conclusions: The analysis revealed three primary research directions encompassing 42 clusters: (1) health literacy and technology adaptation; (2) telemedicine technology and health management; and (3) social interaction and economic impact. Research hotspots include elderly fitness, mobile health, technology acceptance, telemedicine, elderly care, and health literacy. Despite the potential benefit of telemedicine, challenges persist in areas such as technology acceptance, usability, effectiveness, service quality, and privacy concerns. This review provides a comprehensive overview of current research on telemedicine for the elderly and highlights emerging trends in the field. [ABSTRACT FROM AUTHOR]

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The anticipated surge in hydrogen energy adoption underscores the pivotal role of social acceptance in determining the viability of hydrogen technologies (HTs). This review provides a comprehensive overview of acceptance research on HT, evaluating measurement tools and utilized models, identifying influencing factors, and analyzing academic discourse on HT diffusion. Drawing from 39 studies, it highlights key acceptance factors: trust, environmental attitudes, subjective knowledge, and perceived risks. Discourse analysis uncovers perceived barriers like trust deficits, infrastructural challenges, and financial constraints, while strategic considerations such as timing and transparency are identified as drivers. The findings emphasize an individual-centred perspective, heterogeneous operationalizations, and a lack of longitudinal studies. The authors propose increased downstream research, focusing on societal reactions to implemented technologies and considering both psychological and contextual factors. Adoption of multi-level and institutional perspectives is essential. • Environmental attitude is the most studied factor influencing H2 technology acceptance. • Education campaigns and support schemes are frequently cited to drive H2 adoption. • Focus on upstream research neglects acceptance dynamics. • 70% of studies reference established models; many detach theory from studied factors. • Adoption of multi-level perspectives and an increase in longitudinal studies needed. [ABSTRACT FROM AUTHOR]

The aim of the current research is to study the effectiveness of training biology teachers remotely using educational infographic to develop concepts related to dual-use issues, social responsibility, and the level of their technological acceptance. To conduct this research, the experimental approach was used with a quasi-experimental design. The research sample consisted of (64) male and female biology teachers affiliated with the educational administrations of (Damanhour-Itay al-Baroud-Shubrakhit), and they were divided into two groups: (33) male and female teachers for the experimental group, and (31) male and female teachers for the control group. The research tools were a training program using educational infographic, test of concepts related to dual-use issues, a scale of social responsibility, as well as a scale of technological acceptance. These tools were applied to the experimental and control research groups, and then remote training was provided using the educational infographic for teachers of the experimental group, then research tools were applied to both groups. The results of the current research indicated the effectiveness of remote training using educational infographics in developing the research variables. The research recommended that the Ministry of Education hold courses to train teachers on converting educational material into educational infographic and using them in the classroom, and the need for biology teachers to use educational infographic in the teaching and learning processes. In addition to the importance of including general education curricula with infographic texts appropriate to each stage. [ABSTRACT FROM AUTHOR]

Effective training programs are essential for safely integrating exoskeletons (EXOs) in industrial workplaces. Since the effects of wearable systems depend highly upon their proper use, lack of training of end-users may cause adverse effects on users. We reviewed articles that incorporated training and familiarization protocols to train novices on proper operation/use of EXOs. Findings showed variation in training methods that were implemented to train study participants in EXO evaluation studies. Studies also indicate that multiple (up to four) sessions may be needed for novice EXO wearers to match movement patterns of experts, and training can offer benefits in enhancing motor learning in novices. Biomechanical assessments and ergonomic evaluations can be helpful in developing EXO-specific training protocols by determining training parameters (duration/number of sessions and task difficulty). Future directions include development of personalized training approaches by assessing user behavior/performance through integration of emerging sensing technologies. Application of simulators and use of data-driven approaches for customizing training protocols to individuals, tasks, and EXO design are provided along with a comprehensive training framework. Discussed elements in this article can be helpful to exoskeleton researchers in familiarizing novice users to EXOs prior to evaluation, and to practitioners in developing protocols for training workforce. [ABSTRACT FROM AUTHOR]

The purpose of this study is to explain restaurant patrons' behavioral intentions toward QR code menu utilization in restaurant servicescapes (restaurant-scapes) under pandemic constraints. The study consists of 844 participants from the U.S.and employs multivariate analyses. With only five direct determinants without interaction terms, our proposed model performed better in explaining the error variance (62%) in behavioral intentions over and beyond the extant models of technology acceptance – the unified theory of acceptance and use of technology model (UTAUT henceforth) and UTAUT2, both of which explain only 35% and 44% respectively. Our findings indicate the importance of an overlooked construct (Trialability) in a consumer context, particularly in servicescapes, and a contextual construct (hygiene) in explaining the intention to accept technology under the conditions originated by environmental factors (COVID-19). Technology acceptance models are middle-level theories attempting to explain behavioral intentions toward technology adoption, not general theories aiming to explain broad human behavior. This means that the extension of these theoretical models is necessary for particular contexts. Thus, contextual factors originating from environmental conditions (e.g. COVID-19) have a critical role in explaining behavioral intentions toward particular technology adoption. In a consumer context, acceptance of technology adoption is assumed as voluntary/quasi-voluntary. Therefore, practitioners should ensure that the purpose of technology adoption is obvious to customers. Additionally, first-time users, particularly, may need to receive assistance with operating the technology in restaurant-scapes. [ABSTRACT FROM AUTHOR]

Autonomous Vehicles (AV) hold a significant promise in creating a positive disruption of transportation. However, the majority of people perceive AV with fear, anxiety and public resistance. Our study aims to examine how controllability mediates the relationships between main personality traits (sensation seeking and big five), and AV acceptance. In a cross-sectional study, we found that low desirability of control and high external driving locus of control are associated with high AV acceptance. Moreover. We found that individuals high in sensation seeking, perceive high external driving locus of control, and low desirability to control, which in turn leads to low AV acceptance. In addition, the desirability of control and external driving locus mediated the relationships between extraversion, conscientiousness and neuroticism with AV acceptance. Overall, our results support the hypothesized model and suggest that for people to trust AV they need to have some sense of controlling the vehicle. [ABSTRACT FROM AUTHOR]

This study investigates the factors influencing undergraduate students' self-directed learning (SDL) abilities in generative Artificial Intelligence (AI)-driven interactive learning environments. The advent of generative AI has revolutionized interactive learning environments, offering unprecedented opportunities for personalized and adaptive education. Generative AI supports teachers in delivering smart education, enhancing students' acceptance of technology, and providing personalized, adaptive learning experiences. Nevertheless, the application of generative AI in higher education is underexplored. This study explores how these AI-driven platforms impact undergraduate students' self-directed learning (SDL) abilities, focusing on the key factors of teacher support, learning strategies, and technology acceptance. Through a quantitative approach involving surveys of 306 undergraduates, we identified the key factors of motivation, technological familiarity, and the quality of AI interaction. The findings reveal the mediating roles of self-efficacy and learning motivation. Also, the findings confirmed that improvements in teacher support and learning strategies within generative AI-enhanced learning environments contribute to increasing students' self-efficacy, technology acceptance, and learning motivation. This study contributes to uncovering the influencing factors that can inform the design of more effective educational technologies and strategies to enhance student autonomy and learning outcomes. Our theoretical model and research findings deepen the understanding of applying generative AI in higher education while offering important research contributions and managerial implications. [ABSTRACT FROM AUTHOR]

This study investigates the affective and performative effects of ludicization, i.e., the process of transforming the original contexts into immersive ludic experiences based on metaphorized desired behaviors and reflexive space, on language learning. The effects of ludicization are based on an integrated model involving multidimensional constructs of extrinsic/intrinsic motivation, technology-acceptance-related constructs from the Unified Theory of Acceptance and Use of Technology (UTAUT) model, and quantified language performance from the College English Test-4 (CET-4). Structural equation modelling (SEM) based on Mplus is the quantitative analytical approach to investigating the relations of these constructs. The results demonstrate that all paths in the integrated model are significantly positive. Multidimensional constructs of extrinsic/intrinsic motivation exert exogenous effects on technology-acceptance-related constructs that positively influence language performance. Ludicization facilitates language learning through 1) an integrative affective cultivation of extrinsic and intrinsic motivation positively associated with the technology-use intention and 2) a problem-solving-oriented setting based on actual technology-use behaviors. This study also provides the rationale for the integrated model to interpret how ludicization is applicable to language learning through affective and performative effects. [ABSTRACT FROM AUTHOR]

Distance-based technologies have been one of the foci of technology-related studies since the pandemic first appeared, but there is still a need for further research to gain a greater understanding of how teachers are using these technologies in the post-pandemic era. Thus, the aim of this study is to determine whether the level of digital competence (DC) and techno-pedagogical content knowledge (TPACK) influence the acceptance, by primary school teachers, of distance-based technologies in their post-pandemic teaching. To achieve this, we integrated two external variables, DC and TPACK, into the predictors of the technology acceptance model (TAM), and introduced an extended version of the TAM. The statistics were collected through an online survey of 459 primary school teachers working in various regions of Türkiye. The analysis employed structural equation modelling. The findings suggest that there are statistically significant direct effects of digital competence and perceived usefulness on primary school teachers' intentions to use distance-based technologies. The extended model explains the connection among the variables, and the findings offer important insights for collaborators in education to better empower teachers to integrate technology favourably and to maintain distance-based technology use in the future. [ABSTRACT FROM AUTHOR]

The aim of the current study was to identify the factors influencing teachers' acceptance of using chatbots in education. To achieve this, we employed the descriptive method, applying the conceptual framework of the unified theory of acceptance and use of technology (UTAUT2) to a sample of 406 teachers from the Eastern Province in Saudi Arabia. By applying structural equation modelling (SEM), the research results revealed that the most influential factors of chatbot acceptance among Saudi teachers were artificial intelligence literacy, followed by hedonic motivation, and then social influence. Meanwhile, performance expectancy, effort expectancy, and facilitating conditions were not significant indicators of teachers' acceptance of using chatbots in education. In light of these findings, we recommend the following actions: focusing on artificial intelligence literacy for teachers, holding specialised workshops on chatbot applications in education, enhancing teachers' motivation to use chatbots, and forming professional communities for teachers to exchange experiences and knowledge. [ABSTRACT FROM AUTHOR]

Background: QRIS as a payment method through QR codes has emerged as one of the products initiated by the implementation of the Indonesian Payment System Blueprint (SPI). Purpose: The purpose of QRIS is to expand the efficient acceptance of non-cash payments, focusing on traditional mass economic functions (such as traditional markets and MSMEs). Design/methodology/approach: The analysis in this research utilized Partial Least Square Equation Modeling (PLS-SEM). Findings/Result: The results indicate that habit and hedonic motivation variables have a significant positive influence on behavioral intention, while usage barriers have a significant negative impact on behavioral intention. Furthermore, habit and facilitating conditions variables have a significant positive impact on use behavior. Conclusion: The findings highlight that the decision to use QRIS is largely habitual, influenced by prior experiences and quick decision-making (Hedonic Motivation) at the point of transaction. The decision-making process is no longer lengthy, as QR-based payment systems were already familiar before QRIS implementation in Indonesia. Originality/value (State of the art): The approach of simultaneously measuring acceptance factors and barriers is still rarely employed in technology adoption studies. Evaluating both factors concurrently can provide a more comprehensive assessment of the technology adoption process. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has led to a change in healthcare models. The aim of this study was to evaluate patient acceptance of telehealth as an alternative to physical consultations, and to identify factors predicting higher satisfaction. This was an observational, cross-sectional, multi-center, international study. All consecutive patients for whom telehealth was used in consultations between April and July 2020 were considered for inclusion. The validated Telehealth Usability Questionnaire (TUQ) was used as a model to measure patient acceptance. Overall, 747 patients were observed, of whom 721 agreed to participate (96·5%). The TUQ showed that 86·9% of patients agreed that telehealth was useful; 85·2% supported the interface quality and 81·4% endorsed the interaction quality. Patients aged > 60 y were less likely to agree with the use of telehealth (p < 0·05). A web-based prediction tool was generated to calculate global satisfaction and to identify patients more likely to feel comfortable with telehealth. Telehealth is feasible and allows consultations that are satisfactory for patients. Technological advancements could ease safe implementation of telehealth into everyday practice. Adequate patient selection can be useful to ensure that the ideal strategy is used for each individual during and after the pandemic. [ABSTRACT FROM AUTHOR]

Abstract Background Abortion and its complications have always been associated with challenges such as the lack of awareness, high cost of receiving in-person services, lack of access to the skilled healthcare workers, distance from healthcare centers in remote areas, and cultural sensitivities. Therefore, the use of mobile health technology in post-abortion care has been suggested. This study aimed to investigate factors influencing the acceptance and use of mhealth technology in post-abortion care. Method A mixed-methods study was completed in 2023. Initially, a literature review was conducted. Then, a five-point Likert-scale questionnaire was designed based on the results of the literature review. The research participants were gynecologists (n = 24), midwives (n = 38), and women who had experience of abortion (n = 183). Data were analyzed using descriptive and inferential statistics. Results The findings revealed that the participants had different opinions about the importance of motivating and inhibiting factors which included individual, technical, economic, organizational, and ethico-legal aspects. It seems that the individual, organizational, economic, and ethico-legal motivating factors as well as the ethico-legal inhibiting factors were more important than other factors and had higher mean values. In addition, there was a statistically significant difference between the mean values of gynecologists and patients regarding the individual motivating (P = 0.014) and technical inhibiting factors (P = 0.016). The gynecologists’ opinions regarding the technical motivating factors were also significantly different from midwives (P = 0.044) and patients (P = 0.010). Conclusion Multiple factors may influence the acceptance and use of mhealth technology in post-abortion care. Therefore, mhealth service developers must consider these factors to improve the quality of services and increase technology adoption. This will lead to saving costs, improving health, reducing abortion complications, and ultimately improving quality of life for women. However, further research in patient engagement and health interventions tailored to diverse cultural contexts are recommended.

The purpose of this study is to identify potential determinants of the intention to use mobile telemedicine applications. We gathered a total of 187 responses from smartphone users who expressed interest in utilizing Halodoc mobile telemedicine application. This study analyzed the acquired data using PLS-SEM and employed Importance-Performance Mapping (IPMA) to propose possible managerial enhancements for developers of mobile telemedicine applications. Performance expectancy and facilitating conditions have a substantial impact on users' attitude toward mobile telemedicine applications, according to the findings of the study. Usage intention is not directly influenced by performance expectancy or facilitating conditions. While effort expectancy has no effect on attitude, it has a substantial impact on usage intention. The impact of social influence on attitude and behavioral intention is predominantly positive. Data privacy, in contrast to IT identity, does not have a positive impact on usage intention. In general, a favorable attitude toward the application positively influences the user's intent to use mobile telemedicine applications.

Mental health challenges, accentuated by stress, are escalating in high-income countries, especially among adolescents and university students. Traditional mental health approaches face issues such as scalability and accessibility, making the emergence of digital tools crucial. However, adherence remains a challenge. This study examines the role of technology self-efficacy and digital alliance in influencing the acceptance of digital mental health tools among Singaporean university students. The results provide strong support for the role of digital alliance as a key factor impacting a student’s intention to use mental health tools, as well as technology self-efficacy and digital alliance as serial mediators of task-technology fit and intention to use, highlighting our ever-evolving relationship with technology.