Showing papers in "Computers in Human Behavior in 2023"

TL;DR: In this paper , a quota-based cross-sectional survey of 16-to-25-year-olds in Germany (N = 865) was conducted to investigate the effect of green influencers on environmental activism.

TL;DR: The SA-Oriented design (SAOD) process is described as a systematic methodology for developing transparent AI displays for HAT and an example of its application to automated driving in a Tesla is provided as mentioned in this paper .

TL;DR: This article explored the relationship between a virtual influencer's attractiveness and a consumer's purchase intention, and found that virtual influencers' attractiveness was not directly associated with purchase intention; however, mimetic desire and brand attachment mediated this relationship.

TL;DR: In this paper , a survey of 366 higher education teachers from Portugal at the beginning of the COVID-19 pandemic in 2020 showed that teachers with more experience consider themselves better prepared for online teaching and learning (OTL).

TL;DR: A bibliometric overview of Cyberbullying research between 2010 and 2021, including a new analysis through the lens of sustainable development and the impact of COVID-19, is provided in this paper .

TL;DR: In this article , the authors proposed a framework using an integrated analytics approach (Hidden Markov Model combined with Lag sequential analysis and Frequent sequence mining) for analyzing multi-level characteristics of collaborative knowledge construction at cognitive and regulative behaviour dimensions.

TL;DR: In this paper , the authors examined the impact of four distinct trust repair strategies: apologies, denials, explanations, and promises on overall trustworthiness and its sub-dimensions: ability, benevolence, and integrity.

TL;DR: The authors argue that recent advances of artificial intelligence in the domain of art pose a profound ontological threat to anthropocentric worldviews because they challenge one of the last frontiers of the human uniqueness narrative: artistic creativity.

TL;DR: In this article , a mixed-method investigation proposes and empirically tests a human-Artificial Intelligence (AI) relationship development model in the context of social chatbots, which uniquely combines existing human-computer interaction theoretical concepts (Computers are Social Actors, Perceived Social Presence, and Parasocial Interaction) with interpersonal relationship theories (Social Penetration and Attachment Theories).

TL;DR: In this article , the authors studied the system-wide trust effect in human-autonomy teaming and found that when one of the autonomous agents was inaccurate and performance information was provided, participants were less accurate, more likely to verify the decision, spent more time verifying the ATR's decision, and rated the other systems as less trustworthy.

TL;DR: In this article , the authors investigated the impacts of the communicating agent (chatbot vs. human agent) on anticipated communication quality and the underlying mechanism, and they found that users' expectation of communication quality was lower with chatbots than with human agents due to the serial mediating role of self-focused attention and user empathy.

TL;DR: In this paper , the authors explore which psychosocial predictors are associated with different co-occurrence patterns of three different behavioral addictions (i.e., problematic gaming, problematic social media use, and problematic gambling) among adolescents.

TL;DR: In this article , the authors developed a theoretical model by integrating two well-known theories, UTAUT and PMT, to explain the determinants influencing Generation Z use of AI products and their impact on environmental sustainability.

TL;DR: Wang et al. as mentioned in this paper examined whether structural social capital mediates the association between constant and new Internet use and depressive symptoms among Chinese older adults, and the potential rural/urban differences.

TL;DR: In this paper , the authors investigated the role of six fundamental attributes of cybersecurity (i.e., authenticity, availability, confidentiality, integrity, possession/control, and utility) in predicting the adoption of cryptocurrencies.

TL;DR: In this paper , the utility of payments transaction data in distinguishing subgroups of gamblers, and exploring potential markers of harm in gambling payments transactions is explored, using six cluster analysis methods using a dataset of 2,286 online gamblers obtained from a U.S. gambling digital payments provider.

TL;DR: The authors investigated whether speakers converge with their conversational partner on lexical choices (i.e., lexical alignment) to the same extent when they believed the partner was a human (human-human interaction, HHI) and when they were a computer (humancomputer interaction), and whether the strength of lexical alignments is moderated by individuals' social skills in the same fashion in HHI and HCI.

TL;DR: In this paper , the push pull Mooring (PPM) theory has been linked to the issue of customer switching behavior and the migration process, which regrettably ignores the risk factors arising during the process.

TL;DR: In this article , the authors studied the connections between the dark tetrad of personality and online sexual victimization (OSV) and found that the Dark Tetrad of the personality is closely related to OSV, being the sadistic enjoyment the strongest predictor trait for both, to be victimized and perpetrate it.

TL;DR: This article investigated the effects of Internet celebrities' self-disclosure (across the dimensions of amount, relevance, and negativity) on their followers' interpersonal attraction to them and their enduring involvement with them.

TL;DR: In this paper , the authors examined executive function deficits, psychopathological traits, fatigue and gaming habits related to fatigue, such as poor gaming-related sleep hygiene (PGSH), and found that GTP was associated with ADHD and fatigue.

TL;DR: In this article , the authors examined the reasons behind cyber-flashing, especially for sending sexual images that are not genital pictures from cisgender men (i.e., “dick pics”), and explored how gender, sexual orientation, expected responses from the receiver, and dark personality traits predicted each cyberflashing reason.

TL;DR: In this paper , a systematic review of the self-esteem and gaming disorder literature was conducted to investigate any potential variance in the size of the correlation between the two variables, and a random effects meta-analysis was conducted.

TL;DR: In this paper , the authors developed a fourfold theoretical typology, "the Inactive", "the News Avoiders" , "the Distracted" and "the Focused", based on the distinction between political and entertainment-oriented social media use.

TL;DR: In this paper , the authors utilized multimodal learning analytics and AI-based methods to examine the patterns of the socially shared regulation of collaborative learning (CL) in secondary school students.

TL;DR: In this article , a meta-analytic review aimed to investigate the effectiveness of gamified interventions in bolstering mental health, revealing that the benefits of gamification in enhancing mental wellness were independent of both game and demographic characteristics.

TL;DR: In this article , the role of gratifications sought from online reviews and perceptions about reviewers in affecting the behavioural intentions (continuance and purchase intentions) in the B2C fashion e-commerce context, using a combination of uses and gratification and source credibility theories.

TL;DR: In this article , the authors integrate the Input-Mediator-Output model from the high-performance teaming literature to help future researchers classify the variables under study, theorize deeper, and consolidate findings across studies.

TL;DR: Wang et al. as mentioned in this paper examined the effect of smart city service quality on online civic engagement and found that high quality responsiveness and information content of a digital learning service have a significant positive effect on commitment to community and ICT self-efficacy.

TL;DR: In this article , the authors identify comorbid problematic smartphone use (PSU) types based on cluster analysis and further examine the common and specific risk factors, such as perceived stress, social anxiety, depression, and avoidant coping styles/escapism.