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A computational deep learning approach for establishing long-term declarative episodic memory through one-shot learning Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-26 Yousef Alhwaiti, Ibrahim Alrashdi, Irshad Ahmad, Abdullah Khan
Researchers have long been captivated by the intricate workings of the human brain, an enduring enigma. Extensive efforts have been devoted to unraveling its complexities, with disciplines like psychology employing experimentation and analysis to scrutinize and formulate models of brain function. Comprising billions of interconnected neurons, the human brain has inspired experts in deep learning to
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Why communication matters? The roles of patient-provider communication and social media use in cancer survivors’ meaning in life Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-25 Qiaofei Wu, Annabel Ngien, Shaohai Jiang, Yujie Dong
Meaning in life is essential for cancer survivors and may influence their coping behaviors and health. Extensive research has examined factors that predict meaning in life for cancer survivors. However, most of these studies focused on personal characteristics and reactions to a diagnosis but left the crucial role of communication underexamined. To fill this research gap, the current study conducted
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Social media: A double-edged sword for LGBTQ+ youth Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-22 Celia B. Fisher, Xiangyu Tao, Madeline Ford
Social media has been described as both a safe and toxic space for LGBTQ+ youth. This mixed-methods online study examined whether differences in youth's open-ended narratives moderate associations between quantitative measures of online discrimination and mental health and substance use. Three thematic groups emerged from open-ended responses of 406 LGBTQ+ 14–18-year-old participants: social media
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She is seeking attention: Women's self-objectification and hostility toward peer selfies Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-21 Lei Cheng, Xijing Wang, Jingyu Zhang
Although the relationship between self-objectification and selfie-related behaviors has been extensively investigated, limited attention has been given to understanding how women's self-objectification impacts their attitudes toward peer selfies from the observer's perspective. This issue was addressed across four studies ( = 801). Specifically, Studies 1a and 1b (correlational research) revealed a
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An interactive teaching evaluation system for preschool education in universities based on machine learning algorithm Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-19 Deming Li
Interactive teaching is very popular in the field of education, especially in college preschool education teaching. In this study, the experimental performance of the evaluation system based on scientific emotion construction is analyzed by the machine learning algorithm. The experimental results show that the classification model realized by the machine learning algorithm is feasible and effective
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Analysis of translation teaching skills in colleges and universities based on deep learning Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-18 Yan Liu, Shuhua Li, Dan Cui
With the progress of the times and the improvement of science and technique, network message technique has occupied a vital position in people's lives. At the same time, society has been implementing university English education reform in recent years, and the “internet plus” wisdom education model is the product of the improvement of the times. This new education model has gradually integrated into
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Self-effects and public commitment on social media: Testing the cognitive and social influences of sending messages on message senders Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-18 Zijian Lew, Andrew J. Flanagin
Through a self-effects perspective, this research investigates how people's perceptions of their memories are influenced by sharing those memories on social media. Referencing the bidirectional message effects model and identity shift theory, relevant psychological factors and social media affordances were identified and tested across two studies. Results from Study 1 showed that the self-relevance
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Machine learning prediction of mental health strategy selection in school aged children using neurocognitive data Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-18 Richard Lamb, Jonah Firestone, Amanda Kavner, Norah Almusharraf, Ikseon Choi, Tosha Owens, Humberto Rodrigues
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Examining the relationship between online chatting and PISA reading literacy trends (2000-2018) Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-17 Hans Luyten
Strong claims have regularly been made in the popular media about the alleged negative effects of young people's language use in written exchanges via digital media (what is known as ). This is especially believed to affect their reading and writing skills. However, the scientific research literature has hardly confirmed such effects. Its conclusions are generally based on cross-sectional comparisons
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Linking childhood maltreatment to cyberbullying perpetration and victimization: A systematic review and multilevel meta-analysis Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-17 Jun Li, E. Scott Huebner, Lili Tian
Both theoretical and empirical evidence has suggested that childhood maltreatment is positively associated with cyberbullying involvement (perpetration and victimization). However, empirical evidence on the strength of such positive associations is not yet clear. To clarify the strength of the associations, the current meta-analysis examined the extent to which childhood maltreatment is correlated
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Attachment theory 2.0: A network analysis of offline and online attachment dimensions, guilt, shame, and self-esteem and their differences between low and high internet users Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-15 Giorgio Veneziani, Chiara Ciacchella, Piergiorgio Onorati, Carlo Lai
Attachment dimensions, guilt, shame, and self-esteem influence offline and online interactions. In addition, these psychological variables are involved in the amount of time an individual uses the Internet. Few studies have examined the associations between guilt, shame, self-esteem, and attachment dimensions related to friendships and romance in the offline and online contexts, and how these variables
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Helping others and improving myself: The effects of natural- and supernatural-based awe in virtual reality Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-12 Jih-Hsuan Tammy Lin, Yu-Hao Lee, Ji-Wei Yang, Christine Cook
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Avatar creation in the metaverse: A focus on event expectations Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-12 Sergio Barta, Sergio Ibáñez-Sánchez, Carlos Orús, Carlos Flavián
The metaverse has revolutionized the way event experiences are virtualized, as this cutting-edge technology is especially capable of fostering dynamic interactivity among avatars. However, few empirical studies have explored the creation of avatars for virtual events in the metaverse. This research delves into the theme in a mixed-methods approach. The results of semi-structured interviews with participants
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Do users desire gestures for in-vehicle interaction? Towards the subjective assessment of gestures in a high-fidelity driving simulator Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-12 Lisa Graichen, Matthias Graichen
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The relationship of problematic Facebook use and Facebook context on empathy for pain processing: A functional near-infrared spectroscopy study Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-11 N. Kopiś-Posiej, A. Cudo, P. Krukow, M.D. Griffiths, J. Poza, C. Gómez, V. Rodríguez-González
Positive and negative consequences of using social media (SM) have been observed. Excessive use of SM, such as Facebook, can lead to problematic behaviours, resulting in emotional and social functioning changes. Moreover, the problematic use of SM is negatively associated with empathy's affective and cognitive components. The present study used functional near-infrared spectroscopy (fNIRS) to test
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Creativity – help or hindrance? The impact of product review creativity on perceived helpfulness Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-07 Deepak S. Kumar, Sangeetha Gunasekar, Keyoor Purani, Federico de Gregorio
Although the role of creativity in influencing consumer responses is well explored in research related to marketer-generated content, it has yet to be examined for consumer-generated online reviews. Across two studies (a text analysis of 33,508 online reviews and an experiment), this research examines the influence of creativity in online review narratives on readers' perceptions of review helpfulness
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Pavlovian-to-instrumental transfer and outcome-devaluation effects in individuals with gaming experience Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-07 Lin-xuan Xu, Jia-lin Zhang, Xiao-min Geng, Kun-ru Song, Pan-pan Zeng, Marc N. Potenza, Daniel J. Schad, Jin-tao Zhang
Individuals with addictions often encounter environmental cues that may trigger repeated engagement in addictive behaviors despite adverse consequences. In substance use disorders, Pavlovian cues may influence instrumental behaviors (Pavlovian-to-instrumental transfer or PIT), and dominant habitual control that is insensitive to outcome values may serve as a foundational mechanism in addiction development
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Cyberbullying of university faculty: An examination of prevalence, coping, gender, and personality factors Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-04 Leslie Ramos Salazar, Adam Weiss, Jillian Williamson Yarbrough, Katelynn M. Sell
Workplace cyberbullying is a significant problem in higher education institutions. This paper examines faculty self-reports based on victimization, coping, gender, and the Big 5 Personality traits. A cross-sectional survey was distributed via Qualtrics to obtain the perceptions of 179 faculty members. Prevalence results indicated that faculty victims experienced cyberbullying from colleagues/peers
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Emotional responses to narrative content: A comparative study on consumer food choice intentions Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-04 Dai-In Danny Han, Marissa Orlowski
Influencing consumer food choices has evolved as a multidisciplinary research area that bridges marketing, food science, and sensory experiences. However, little is known about the impact of mixed reality (MR) or interactive content narratives in MR on influencing consumers to make specific food choices. Drawing on narrative transportation theory, the current research examines the effect of MR content
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Is learning analytics applicable and applied to education of students with intellectual/developmental disabilities? A systematic literature review Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-04 Miguel Á. Conde, Francisco J. Rodríguez-Sedano
Our contemporary society demands highly qualified professionals in all sectors, and education serves as the keystone for achieving this goal. While educational institutions are diligently preparing their students to thrive in this context, emphasizing inclusivity across all demographics is crucial. An essential group in this regard comprises students with Intellectual and Developmental Disabilities
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Time-sensitive “teacher”: A longitudinal model of follower contributions on educational social media influencers based on S–O-R framework Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-01 Ling-Zhi Brian Fang, Tan Cheng, Qiu-Ting Duan
Social media influencers (SMIs) always garner considerable attention from academia and industry. Within this group, however, educational social media influencers (Edu-SMIs) are facing challenges brought by their followers. Thus, this study considered the followers' perspective to explore how Edu-SMIs manage their relationships with followers and activate their followers’ value in order to achieve successful
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Winners and losers of working-from home – The impact of perceived person-environment fit towards continuance intention Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-01 Ha-My Le Quy, Yu-Qian Zhu
The transformative shift towards working from home (WFH) triggered by the pandemic has demonstrated its potential to become a long-term arrangement in many corporations. However, extant literature has paid limited attention to comprehending the intricate process through which employees evaluate the WFH experience. This study endeavors to assess the long-term continuous intentions to WFH by investigating
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Problematic gaming, social withdrawal, and Escapism: The Compensatory-Dissociative Online Gaming (C-DOG) model Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-26 Alessandro Giardina, Adriano Schimmenti, Vladan Starcevic, Daniel L. King, Maria Di Blasi, Joël Billieux
In this article, we critically overview existing studies on compensatory and dissociative mechanisms associated with problematic gaming, with a focus on escapism. Thus, we present a theoretical model integrating current research. In the first section, we link compensatory and dissociative processes related to gaming on a continuum that corresponds to the degree of connection/rupture between physical
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In Twitter we trust(ed): How perceptions of Twitter's helpfulness influence news post credibility perceptions and news engagement Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-24 Barbara Millet, Jiajing Tang, Michelle Seelig, John Petit, Ruoyu Sun
This study examines the impacts of news veracity, source credibility, collective social endorsement, and perceptions of Twitter's utility on perceived credibility of and engagement with social media news posts. We conducted a 2 (Veracity: real vs. fake) × 2 (Source Credibility: credible vs. non-credible) x 2 (Collective Social Endorsement: high vs. low) online experiment ( = 271). In processing news
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Criminal expertise and hacking efficiency Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-23 Asier Moneva, Stijn Ruiter, Daniël Meinsma
Criminal expertise plays a crucial role in the choices offenders make when committing a crime, including their modus operandi. However, our knowledge about criminal decision making online remains limited. Drawing on insights from cyber security, we conceptualize the cybercrime commission process as the sequence of phases of the cyber kill chain that offenders go through. We assume that offenders who
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The job demands-resources model as a theoretical lens for the bright and dark side of digitization Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-22 Alexander Scholze, Achim Hecker
With digitization continuing to reshape work environments, organizations must confront the challenges of comprehending its “bright side” and “dark side” effects. A growing imperative exists to comprehend how digitization affects employee well-being and to create sustainable health-centric workplaces. The established Job Demands-Resources model offers a pertinent theoretical framework for gaining fresh
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Exploring the relationship between LMS interactions and academic performance: A Learning Cycle approach Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-21 Ángel Hernández-García, Carlos Cuenca-Enrique, Laura Del-Río-Carazo, Santiago Iglesias-Pradas
Research on the relationship between the digital traces of students in Learning Management Systems (LMS) and their academic performance has traditionally been an area of interest in the field of learning analytics. Aiming at achieving high interpretability and generalizability, this study reviews past research, defines a new categorization scheme for interactions in LMS and investigates the relationships
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Extended hours of video game play and negative physical symptoms and pain Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-21 Janni Leung, John B. Saunders, Daniel Stjepanović, Calvert Tisdale, Caitlin McClure-Thomas, Jason Connor, Matthew Gullo, Andrew P. Wood, Gary Chung Kai Chan
Video games are a source of positive experiences and joy for many people. However, some interaction styles may lead to negative consequences. We aimed to examine the potential negative physical problems associated with video gaming behaviors. Data were from the 2022 International Gaming Study (IGS22), a cross-sectional survey of 955 individuals aged 18–94 (M = 46.10 [16.19]; 45% male) who played video
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Corrigendum to “A conceptual framework for understanding and identifying gamblified experiences” [Computers in Human Behavior 152 (2024) 108087 Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-18 Joseph Macey, Juho Hamari, Martin Adam
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A randomized controlled trial investigating two protective filtering strategies to mitigate the effects of beauty-ideal media imagery on women's body image Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-17 Jessica M. Alleva, Carlotta Grünjes, Lauren Coenen, Marieke Custers, Pia Vester, Sarah E. Stutterheim
Recent research has shown that women with a positive body image engage in a process called —whereby they ‘filter in’ information that can promote and protect their positive body image, and ‘filter out’ information that could be harmful. In this study, we investigated two protective filtering strategies and whether they could mitigate the effects of beauty-ideal media imagery (one particularly pervasive
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The relationship of sexual objectification with internet addiction and its implications for mental health Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-17 Charmain Chau, Rheal S.W. Chan, Jieshuang Liang, Kai-Tak Poon
Sexual objectification refers to an individual being recognized solely for their appearance and sexual function. University students may frequently experience sexually objectifying social encounters, such as being catcalled, being leered at, or receiving derogatory comments. However, relatively little research has considered how it may be associated with maladaptive usage of the internet and the implications
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Interplay of agenda setters in the digital age: The associative issue network between news organizations and political YouTube channels Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-13 Bumsoo Kim, Han Lin, Yonghwan Kim
Two emerging questions in the current digital media environment are how socio-political issues are systematically circulated across various media platforms, including mainstream news organizations and social media platforms, and which media-driven issue networks influence the perceived issue networks of the public. This study addresses these questions by conducting computer-assisted content analysis
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Protective factors contributing to adolescents’ multifaceted digital resilience for their wellbeing: A socio-ecological perspective Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-13 Qianqian Pan, Min Lan, Cheng Yong Tan, Sisi Tao, Qianru Liang, Nancy Law
Swift digital advancements provide teenagers with ample online opportunities but also expose them to potential hazards that impact their wellbeing. The consequences of perceiving online risks vary among individuals, emphasizing the role of digital resilience as a protective mechanism. Digital resilience, rooted in the Digital Resilience Framework encompassing coping strategies, recovery, and learning
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Users’ reactions to website designs: A neuroimaging study based on evolutionary psychology with a focus on color and button shape Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-12 Anika Nissen, René Riedl, Reinhard Schütte
Website design decisions consider visual stimuli that have a significant impact on user behavior. We use evolutionary psychology as a theoretical lens for studying the effects of color and shapes on e-commerce websites. Referring to their evolutionary meaning, we derive hypotheses that are tested in a neuroimaging experiment utilizing functional near-infrared spectroscopy (fNIRS). The self-report results
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Investigating the behavioural intentions of museum visitors towards VR: A systematic literature review Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-12 Li YiFei, Mohd Kamal Othman
This study investigates the behavioural intentions of museum visitors towards Virtual Reality (VR) technology, spanning the years 2010–2023. It evaluates literature quality, explores research theories, and identifies trends. Findings indicate that most museum visitors hold positive attitudes towards VR, necessitating further research on generational perspectives. Quantitative research methods dominate
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Not just for fun: The effect of pseudo-reviews on consumer behavior Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-10 Ermira Zifla, David Schuff, Susan Mudambi, Sunil Wattal
Most prior work on online reviews assumes that the value of reviews for consumers lies only in providing information about the product or the consumer's experience with the product. Yet, consumers also post and interact with pseudo-reviews, defined as reviews that describe exaggerated product experiences while trying to be entertaining. To address the nature and consequences of pseudo-reviews, this
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Data visualization and domain knowledge: Insights through focus groups of researchers in Spain Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-10 Andrea Vázquez-Ingelmo, Alicia García-Holgado, Sonia Verdugo-Castro, Roberto Therón, Francisco José García-Peñalvo
Nowadays, data visualizations are an intrinsic element of decision-making processes. But they can also lead us to wrong conclusions under different circumstances: lack of data visualization expertise, lack of domain knowledge, biases, polarization, backgrounds, etc. In this sense, it is important to consider potential drawbacks during the design and development processes of these tools and address
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Virtual humans as social actors: Investigating user perceptions of virtual humans’ emotional expression on social media Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-09 Jeongmin Ham, Sitan Li, Jiemin Looi, Matthew S. Eastin
Virtual influencers, digitally-created characters with realistic human-like appearances, have emerged as a distinctive type of virtual humans prominently featured in various virtual environments, with a notable presence on social media. They emulate human behaviors, including displaying emotions, to enrich their narratives. Yet, limited research has assessed how users interpret these virtual influencers'
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The “backfire” effects of luxury advertising on TikTok: The moderating role of self-deprecating online reviews Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-09 Hao Zhang, Xiaojing Wang
This paper aims to investigate the influence of various advertising channels on consumers' value perceptions of luxury brands, with a specific focus on the potential negative effects of TikTok on luxury advertising. Using an experimental design, four studies were conducted to rigorously examine these research questions. Study 1 reveals that, compared to traditional media, TikTok advertising has a more
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Beneficial outcomes of (appropriate) nonverbal displays of negative affect in virtual teams Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-07 Ella Glikson, Monica A. Riordan
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The bidirectional relationships between fear of missing out, problematic social media use and adolescents’ well-being: A random intercept cross-lagged panel model Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-06 Yan-Yu Li, Ina M. Koning, Catrin Finkenauer, Maartje Boer, Regina J.J.M. van den Eijnden
Problematic social media use (PSMU) is a societal problem, which impacts adolescents' well-being. Fear of missing out (FoMO) has been suggested as a core risk factor predicting both PSMU and adolescents' well-being. However, longitudinal research on the directionality of these relationships is scarce. The present study aims to fill this knowledge gap by testing the bidirectional relationships between
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Socioeconomic status and young people's digital maturity: The role of parental mediation Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-05 Teresa Koch, Franziska Laaber, Arnd Florack
In a cross-sectional study conducted with 1065 parent-child dyads with adolescents aged 12 to 18, we examined the association between socioeconomic background and ‘digital maturity’, defined as the self-determined use of digital technologies that supports psychological growth and well-being while avoiding risks of the digital world. While previous research has focused primarily on digital addiction
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The automated model of comprehension version 4.0 – Validation studies and integration of ChatGPT Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-05 Dragos-Georgian Corlatescu, Micah Watanabe, Stefan Ruseti, Mihai Dascalu, Danielle S. McNamara
Modeling reading comprehension processes is a critical task for Learning Analytics, as accurate models of the reading process can be used to match students to texts, identify appropriate interventions, and predict learning outcomes. This paper introduces an improved version of the Automated Model of Comprehension, namely version 4.0. AMoC has its roots in two theoretical models of the comprehension
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Exploring the impact of augmented reality smart glasses on worker well-being in warehouse order picking Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-02-05 Anne Windhausen, Jonas Heller, Tim Hilken, Dominik Mahr, Roberta Di Palma, Lieven Quintens
This paper examines the use of Augmented Reality Smart Glasses (ARSGs) in order-picking tasks in warehouses and explores their impact on workers' well-being. While previous research has primarily focused on the performance advantages of ARSGs, this study provides a new perspective by investigating the human factor and perceptions of worker well-being in two empirical studies. The results corroborate
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Self-disclosure and received social support among women experiencing infertility on reddit: A natural language processing approach Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-01-31 Wenxue Zou, Lu Tang, Mi Zhou, Xinyu Zhang
The intricate interplay between self-disclosure strategies and the social support received has garnered limited scholarly attention. Guided by communication privacy management theory, the functional theory of self-disclosure, social support theory, and social penetration theory, this study seeks to delve deeper into this dynamic within the context of female infertility. Fertility challenges among women
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Social viewing of news and political participation: The mediating roles of information acquisition, self-expression, and partisan identity Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-01-27 Yi Wang, Yonghwan Kim, Han Lin
The practice of engaging in social interactions on various social media platforms while simultaneously consuming TV news or live broadcasts has become increasingly popular. However, although research has highlighted its impact on social mobilization and political participation, the underlying mechanisms of this phenomenon are not fully understood. This study utilizes two-wave panel survey data from
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Conduct problems and sexting: Gender differences Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-01-27 Audrey Mariamo, Alexa Martin-Storey, Michelle Déry, Melina Tomasiello, Caroline Elizabeth Temcheff
The prevalence and potential consequences of sexting make identifying youth who are most likely to engage in these behaviors important. Conduct problems (CP) are associated with sexual risk behavior in general, and with sexting in particular. This study explored whether childhood or adolescent CP were linked with sexting behaviors in adolescence and whether this link differed between boys and girls
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Reviewing the differences between learning analytics and educational data mining: Towards educational data science Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-01-25 R. Cerezo, J.-A. Lara, R. Azevedo, C. Romero
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Emotional leader communication in the digital age: An experimental investigation on the role of emoji Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-01-23 Simon Liegl, Marco R. Furtner
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A study of the influence of altruism, social responsibility, reciprocity, and the subjective norm on online prosocial behavior in adolescence Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-01-23 Yolanda Pastor, Vanesa Pérez-Torres, Helena Thomas-Currás, Luis Lucio Lobato-Rincón, Miguel Ángel López-Sáez, Alejandro García
While the study of offline prosocial behavior has a long tradition, much less information is available about how these behaviors manifest and change in the digital environment, and little is known about their background. This paper evaluates differences by age and gender in a variety of attitudes and beliefs during adolescence and studies their influence on the online prosocial behavior emitted and
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Physicians’ adoption of massive open online courses content in the workplace: An investigation on the training transfer process through the Theory of Planned Behavior Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-01-19 Giovanni Schettino, Lenka Hodačová, Daniela Caso, Vincenza Capone
While Massive Open Online Courses (MOOCs) are recognized as helpful learning tools for professional development in healthcare organizations, they often result in a low transfer of knowledge and skills into participants' workplaces. Regarding this issue, little research has explored the factors shaping physicians’ intention to transfer learning acquired through these courses to their job. In light of
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Information quality, work-family conflict, loneliness, and well-being in remote work settings Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-01-19 Ya-Ting Chuang, Hua-Ling Chiang, An-Pan Lin
Teleworking has rapidly grown and become the prevailing work mode. Married teleworkers may experience increased work-family conflict, while single teleworkers may experience loneliness. This study aims to investigate how teleworkers' information reception quality (Time 1) influences their work-family conflict (Time 2), loneliness (Time 2), and well-being (Time 3) from the perspective of the job demands-resources
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Deep learning and ubiquitous systems for disabled people detection using YOLO models Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-01-17 Madallah Alruwaili, Muhammad Hameed Siddiqi, Muhammad Nouman Atta, Mohammad Arif
Differently-disabled people having the disorders like paralysis, limb deficiency Amelia, or amputee. Various work was done on detecting and tracking the differently-abled people for the perception of people and their mobility aids. Different combination of Fast R–CNN and Faster R–CNN with Red Green and Blue or Depth (RGB or RGB-D) camera were used. There are several state-of-the-art deep learning models
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System-justifying belief alleviates online privacy concerns: The mediating role of relatedness satisfaction and general trust Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-01-12 Zhiwen Dong, Tianchen Yang, Yubo Hou, Yi Cao, Minxuan Feng
Online privacy concerns have attracted the attention of many scholars worldwide, and a considerable body of knowledge has accrued from research on the predictors of online privacy concerns. However, few studies have investigated whether system-justifying belief impacts online privacy concerns. Integrating system justification theory with self-determination theory, we investigate how system-justifying
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PUAL-DBSCP: Personalized Ubiquitous Adaptive Learning for Density-Based Splitting Controller Placement in software-defined networks Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-01-10 Himanshi Babbar, Shalli Rani
In the field of personalized and adaptive education, ubiquitous adaptive learning (PUAL), which aims to give students customized learning experiences to improve their educational achievements, has grown in importance. The difficulties of implementing PUAL in the setting of Software Defined Networks (SDN) are addressed in this study. Using a capacity-based switch-splitting technique, DBSCP separates
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Burnout, resilience, and coping among esports players: A network analysis approach Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-01-08 Dylan R. Poulus, Jack Sargeant, Daniel Zarate, Mark D. Griffiths, Vasileios Stavropoulos
Burnout among esports players is a serious issue affecting competitive and professional players. The present study investigated the relationship between resilience, coping, and burnout among esports players using network analysis. Esports players (N = 453; M = 23.0 years, SD = 4.18; in the top 40% of in-game rank) who competed in one of seven popular team-based esports completed the Connor-Davidson
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A lightweight security model for ensuring patient privacy and confidentiality in telehealth applications Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-01-02 Zhang Wenhua, Mohammad Kamrul Hasan, Norleyza Binti Jailani, Shayla Islam, Nurhizam Safie, Hussain Mobarak Albarakati, Abeer Aljohani, Muhammad Attique Khan
Telehealth, a cornerstone of Healthcare 4.0 has widespread adoption owing to its convenience and efficiency. However, the secure transmission of patient records over the Internet and Cloud services remains a paramount concern. This study endeavors to design an enhanced security model that guarantees the privacy and confidentiality of patient electronic health records in telehealth applications. The
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Heart or mind? The impact of congruence on the persuasiveness of cognitive versus affective appeals in debunking messages on social media during public health crises Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-01-04 Shuai Zhang, Yang Zhang, Jing Li, Zhenni Ni, Zhenghao Liu
Designing persuasive debunking messages poses significant challenges in addressing rumors during public health crises, especially when confronting diverse informational backgrounds. However, the underlying mechanisms through which the congruence between debunking messages and background information influences their persuasiveness remains unclear. Therefore, drawing upon the elaboration likelihood model