Showing papers in "Computers in Human Behavior in 2021"

TL;DR: In this paper, the authors analyzed the impact of organizational aspects related to unplanned change, instruction-related variables (class size, synchronous/asynchronous delivery, and use of digital supporting technologies) on students' academic performance.

TL;DR: Light is shed on teachers’ readiness for OTL at the time of the pandemic by identifying teacher profiles based on a set of key dimensions of readiness and explaining profile membership by individual teacher characteristics, contextual aspects of the shift to OTL, and country-level indicators representing educational innovation and cultural orientation.

TL;DR: A systematic review of existing research on problematic smartphone use (PSU) is provided to guide other researchers in search of relevant studies, and to propose areas for future research.

TL;DR: In this article, the authors studied the role of psychological anthropomorphic characteristics, perceived empathy, and interaction quality in the acceptance of AI devices in the service industry and found that anthropomorphic features alone do not influence acceptance and trust towards AI devices.

TL;DR: The results show that social media usage was related to both depression and secondary trauma, which also predicted health behavior change, and imply that taking a social media break may promote well-being during the Pandemic, which is crucial to mitigating mental health harm inflicted by the pandemic.

TL;DR: The findings indicate the significant role of trust and perceived sacrifice as factors mediating the effects of perceived convenience, personalisation and AI-enabled service quality and the significant effect of relationship commitment onAI-enabled customer experience.

TL;DR: Investigation of the influence of social media on firm performance with mediating role of marketing capabilities in the UK, hotel industry finds that marketing capabilities positively and significantly mediate the association between social media use and firm performance.

TL;DR: The results demonstrate that interactivity, specifically, consumer-consumer interaction and consumer-seller interaction, positively affects social support, which in turn enhances consumers’ intention to co-create brand value.

TL;DR: The findings revealed that proposed constructs significantly influence the urge to buy impulsively and moderation effects of celebrities’ authenticity are insignificant, which moderates all relationships except negative sentiments.

TL;DR: The research employs text mining techniques and dynamic network analysis to investigate the actors’ risk and crisis communication on Twitter regarding message types, communication sufficiency, timeliness, congruence, consistency and coordination and provides unprecedented insight of Twitter COVID-19 information dissemination.

TL;DR: In this paper, the authors examined the theoretical foundations used in research on gamification, serious games and game-based learning through a systematic literature review and then discussed the commonalities of their core assumptions.

TL;DR: In this paper, the authors explore if salient COVID-19 concerns, which intuitively should increase concerns about personal and public health, might in fact increase privacy concerns and thereby reduce uptake of contact tracing apps.

TL;DR: In this paper, the authors examine the perception of the consumers towards privacy concerns and in turn its influence on the adoption of VBDA and show that trust in technology and the service provider plays an important role in the adoption.

TL;DR: This paper analyzed longitudinal data of 80 faculty members' achievement goals during the semester prior to shifting to online teaching, as well as their attitudes and burnout/engagement during the first semester with enforced online teaching.

TL;DR: An association between attachment security and trust inAI is demonstrated, and the ability to increase trust in AI via attachment security priming is supported via affective means.

TL;DR: This is the introductory article for the special issue “Technology-related knowledge, skills, and attitudes of pre- and in-service teachers”, which investigates technology at the current state of the art and introduces the concept of augmentation strategies.

TL;DR: Overall results showed no significant group differences for either individual TPACK components or for the two- and five-cluster solutions of TPACK profiles and subject group emerged as the only significant predictor and STEM pre-service teachers showed positive relations of TPack components and technology use in lesson plans.

TL;DR: In this paper, the authors investigated the relationship of burden caused by Covid-19 and addictive social media use (SMU) and found that anxiety symptoms significantly moderated the relationship between sense of control and addictive SMU.

TL;DR: This article conducted two experiments assessing behavioral reactions to the state-of-the-art Natural Language Generation algorithm GPT-2 (Ntotal number of samples generated by the algorithm =830) using the identical starting lines of human poems.

TL;DR: In this article, the authors examined academic teachers' agency and emergency responses, prompted by the physical closure of universities and university colleges due to the COVID-19 crisis, and explored the nature and degree of this agency through a survey of university teachers in Norway in the first month of the lockdown.

TL;DR: The main contribution of this study is the introduction of a new higher-order construct, SMS advertising perception, for the first time in SMS advertising literature, and the validation of the transmittal effect of advertising value and attitude toward SMS advertising between SMS advertising Perception and purchase intention.

TL;DR: In this article, the authors focus on the academic practice of online teaching and learning in higher education in the current time of crisis, and derive a number of general insights on online learning and learning, emphasizing, for instance, scaffolding of regulation processes or communication platforms.

TL;DR: It is demonstrated that consumer personality can be predicted during contextual interactions, and that chatbots can be manipulated to ‘assume a personality’ using response language, which had a positive impact on consumer engagement with chatbots and purchasing outcomes for interactions involving social gain.

TL;DR: It is found that people privileged in their socioeconomic status, their Internet skills and online experiences are more likely to increase and less likely to decrease digital communication during the COVID-19 pandemic.

TL;DR: Findings of the study suggest that harmful effects of SMU intensity may be limited and highlight the potential risk ofSMU problems to adolescent mental health.

TL;DR: This study proposed digital support designs to fulfill the three innate needs identified in self-determination theory (SDT): autonomy, relatedness, and competence, and investigated how the developed forms of digital support and teacher support contributed to student engagement.

TL;DR: Initial evidence that fake news can be used to covertly modify behavior is provided, it is argued that current approaches to mitigating fake news, and disinformation in general, are insufficient to protect social media users from this threat, and the implications for democracy are highlighted.

TL;DR: It is suggested that other-oriented, but not self-oriented use, negatively affects appearance self-esteem from childhood to adolescence.

TL;DR: The C♭-model aims at systematizing research on digital teaching and learning and offers a roadmap for future research to understand the complex dynamic of factors that lead to successful digital teach and learning in higher education via suitable learning activities.

TL;DR: Citizens’ initial acceptance of a COVID-19 national contact tracing mobile application is shaped by their perceptions of health benefits and social influence, with reciprocity exhibiting a sustained influence on acceptance over time and privacy concerns demonstrating a negative influence on willingness to rely on the application.