Showing papers in "Computers in Human Behavior in 2020"

TL;DR: The reciprocal impacts of the COVID-19 crisis and digital inequalities are explored, and a set of multi-layered strategies focusing on actionability that can be implemented at multiple structural levels, ranging from governmental to corporate and community levels are proposed.

TL;DR: A comprehensive model has been developed which provides a holistic picture and identifies different levels of success related to a broad range of success determinants and was found to be the determinants of e-learning use.

TL;DR: Results show that media richness negatively predicts citizen engagement through government social media, but dialogic loop facilitates engagement, and all relationships were contingent upon the emotional valence of each Weibo post.

TL;DR: Investigating the association between time spent using social media and depression and anxiety at the intra-individual level revealed that increased time spent on social media was not associated with increased mental health issues across development when examined at the individual level.

TL;DR: A deep artificial neural network is deployed on a set of unique handcrafted features, extracted from the virtual learning environments clickstream data, to predict at-risk students providing measures for early intervention of such cases, to assist institutes in formulating a necessary framework for pedagogical support.

TL;DR: The results showed that children at this very young age are able to cope with the complexity of a learning task by decomposing it into a number of subtasks that are easier for them to tackle.

TL;DR: This study examined whether this disclosure effectively raises ad recognition, and how this consequently affects consumers' responses to the message, influencer, and brand.

TL;DR: Examining the cognitive, affective, and behavioural components of students’ attitude towards entrepreneurship education in Indian universities/colleges showed a significant positive impact of attitude towards entrepreneur education on entrepreneurial intention.

TL;DR: The findings show that customer engagement is a key predictor of the four dimensions of customer loyalty toward social commerce websites and indicates that social support and two community factors significantly affect customer engagement.

TL;DR: The design artefact presented in this article uses a conceptual model that visualizes the relationships between dashboard design and the learning sciences to provide cognitive and behavioral process-oriented feedback to learners and teachers to support regulation of learning.

TL;DR: Values of extending HCI theories to mobile short-form video apps were demonstrated in terms of using appropriate humor and camera view for improving user experience and persuading serious agenda.

TL;DR: Although the AR condition did not show a learning gain in a conceptual knowledge test, they nonetheless reported a significant lower extraneous cognitive load than the traditional condition, revealing a significant impact on cognitive load research.

TL;DR: Female students with higher levels of SESRL experience a limited impact of online multitasking on GPA, resulting in better academic performance, suggesting that there was a significant indirect effect for female students only.

TL;DR: The effect sizes of gender-related differences in IGD and SMA at the country-level were significantly larger than those in generalized IA, which suggests that gender- related differences in specific IAs may be underestimated in the “umbrella” of generalized IA.

TL;DR: Results of a mediation analysis employing structural equation modeling reveal that both wishful identification and emotional engagement have indirect effects on behavioral loyalty through PSR, as suggested by Giles' PSR development model.

TL;DR: A hybrid bibliometric approach that combines both direct citation network analysis and text analytics was proposed to examine the related research articles retrieved from the Web of Science database to enable the rapid understanding of the overall research development of the TEL in higher education.

TL;DR: Clinically relevant depressive symptoms seem to occur not rarely in PSMU and IGD, and the overlapping confidence intervals of the parameter estimates for both behavior patterns indicate similar relationships between the investigated characteristics andIGD or PSMU.

TL;DR: In this special issue of Computers in Human Behavior, the Editors report four studies conducted by interdisciplinary teams and propose directions for future research and practice in Computational Thinking Education.

TL;DR: A reduced training vector-based support vector machine (RTV-SVM) capable of predicting at-risk and marginal students and removes redundant training vectors to reduce the training time and support vectors is proposed.

TL;DR: Findings from the analysis of 354 survey responses reveal that both institutional and social privacy concerns decrease engagement with social media-enabled apps, suggesting that users who enjoy the functionality of these apps are more likely to express social privacy Concerns and minimize their engagement.

TL;DR: The findings demonstrated that TAM represents a good ground theory for examining factors that influence consumer acceptance of CHITs and further efforts can be dedicated to contextualize the use of TAM theories in CHIT domain and to further examine factors that are able to moderate the model relationships.

TL;DR: It is found that gamification exerts a positive impact on knowledge retention and the steady increase in students’ learning performance resulting from constant refinement of the workshops demonstrates the usefulness of incorporating gamification principles into educational activities.

TL;DR: It was found that YouTube use increased perceived information overload for all individuals and perceptions of information overload were a significant predictor of depressive symptoms, which in turn, negatively influenced individuals’ well-being over time.

TL;DR: It is suggested that performance expectancy, facilitating conditions, habit, perceived risk, and institution-based trust are significantly associated with millennials' intention to adopt mobile banking apps, and that facilitating conditions and behavioural intention have a significant direct influence on millennials' mobile banking app behaviour.

TL;DR: The results showed that four technological functions—instruction provision, self-monitoring,self-regulation, and goal attainment—had an indirect effect on continuance intention through perceived usefulness, and this indirect effect was moderated by exercise self-efficacy such that the association between perceived usefulness andContinance intention was stronger for those with low exercise self -efficacy.

TL;DR: Results of an empirical study indicate that social referrals, information quality and transaction safety positively affect users’ trust, which in turn facilitate their continued intention to use the sharing commerce platform and share positive word-of-mouth testimonials and postings thus sharing positive consumption experiences with other consumers.

TL;DR: This social business model illustrates how information and communication technology is integrated with transport service providers and government resources to satisfy the transportation needs of disabled people.

TL;DR: An experiment with 132 Primary Education Students shows a significant increase in the results on all the tests has been measured, supporting the use of metaphors and Scratch to teach computer programming concepts to Primary Education students to develop their CT.

TL;DR: The study found that organizations, both nonprofit and for-profit, most closely followed the usefulness of information principle, which is a conclusion that helps expand dialogic theory.

TL;DR: The results indicated that psychological well-being influences CSMU, which in concurrence with sleep habits, influences the association between FoMO and problematic sleep, and FoMO is more strongly associated with CSMU among working professionals.