-
The trajectories of online mental health information seeking: Modeling search behavior before and after completion of self-report screens Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-18 Damien Lekkas, Elad Yom-Tov, Michael V. Heinz, Joseph A. Gyorda, Theresa Nguyen, Paul J. Barr, Nicholas C. Jacobson
There is an appreciable mental health treatment gap in the United States. Efforts to bridge this gap and improve resource accessibility have led to the provision of online, clinically-validated tools for mental health self-assessment. In theory, these screens serve as an invaluable component of information-seeking, representing the preparative and action-oriented stages of this process while altering
-
Understanding youth participation in social media challenges: A scoping review of definitions, typologies, and theoretical perspectives Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-15 Lara Kobilke, Antonia Markiewitz
Social media challenges (SMCs) have become more diverse and seemingly more extreme, with certain dangerous challenges causing immediate harm to participants and capturing the attention of media outlets and academics. Children and adolescents are the most at-risk groups, often engaging in these challenges without fully understanding the consequences. Nevertheless, most existing research and reporting
-
A novel user-generated content-driven and Kano model focused framework to explore the impact mechanism of continuance intention to use mobile APPs Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-15 Tong Wang, Wei Wang, Jia Feng, Xianming Fan, Junli Guo, Jianbo Lei
User-generated content (UGC), which generates vast amounts of content in real-time through social networks, offers a significant opportunity for mining new knowledge. The survival of information technology products such as mobile APPs (mAPPs) depends on continuance. The exploration of the impact mechanism underlying continuance intention is crucial given the low continued usage of many mAPPs. Mining
-
Mediation of social support in the relationship between mobile phone dependence and childhood physical maltreatment among left-behind and returned migrant middle school students: A multi-group structural equation modeling Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-12 Rong Wu, Zheng Yan, Yuan Luo, Pengyu Ren, Yu Liu, Fengjiao Ran, Xiantao Yang, Manting Gu
Mobile phone dependence (MPD) is a form of addictive behavior that poses a threat to the physical and mental health of adolescents. MPD is closely linked to individual characteristics, as well as family and social environments. However, existing literature has yet to thoroughly investigate the relationship between MPD and childhood physical maltreatment in middle school students, including its mediating
-
Rethinking the uncanny valley as a moderated linear function: Perceptual specialization increases the uncanniness of facial distortions Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-12 Alexander Diel, Michael Lewis
The relationship between artificial entities’ human likeness and aesthetic preference is thought to be best modelled by an -shaped cubic “uncanny valley” function, which however suffers from conceptual criticisms and lack of parsimony. Here it is argued that uncanniness effects may instead be modelled by a linear function of deviation moderated by perceptual specialization. The two models are compared
-
Examining the roles of social media information exposure and seeking on COVID-19 vaccination through the S-O-R model: A two-wave panel in Hong Kong Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-11 Haiyun Ma, Edmund W.J. Lee, Luyao Xie, Ho Hin Lee, Kam Hei Hui, Phoenix K.H. Mo, Meiqi Xin
This study draws upon the stimulus-organism-response (S–O-R) framework in examining the influence of stimulus factors (i.e., passive exposure to and active information seeking for COVID-19 vaccine information on social media) on users' internal psychological mechanisms (i.e., perceived information overload and psychological reactance) and vaccination behavior. We collected two-wave online panel data
-
From hate speech to HateLess. The effectiveness of a prevention program on adolescents’ online hate speech involvement Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-11 Sebastian Wachs, Michelle F. Wright, Manuel Gámez-Guadix
Hate speech, a societal scourge, has found a potent conduit in modern technology, exacerbating its reach and impact. Adolescents are particularly vulnerable to the pernicious effects of online hate speech, which threaten their well-being and social cohesion. Addressing this critical issue, the current study uses a quasi-experimental design to evaluate the efficacy of “HateLess. Together Against Hatred”
-
How does stress experienced on instagram differ from threads? Comparing social media fatigue based on platform types Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-11 Sieun Kim, Ilhwan Ma, Jeyoung Son
Social media fatigue in individuals has been recognized as a significant consequence and has attracted considerable attention in numerous studies. Prior research on social media fatigue has predominantly focused on investigating the direct relationship between stressors and fatigue. Nevertheless, there has been a conspicuous lack of discussion concerning the psychological variable contributing to fatigue
-
Developmental structure of digital maturity Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-11 Lieke Hofmans, Annemarijn van der Stappen, Wouter van den Bos
The last decades have seen growing attention for the positive and negative effects of digital technology on adolescent's wellbeing. Large individual variability in these effects is likely caused by individual differences in the way people interact with digital devices. Digital maturity aims to capture the extent to which young individuals use digital technology in a healthy and adaptive way. The recently
-
A two-actor model for understanding user engagement with content creators: Applying social capital theory Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-11 Khalid Hussain, Khaldoon Nusair, Muhammad Junaid, Waqas Aman
The emergence of video sharing platforms has given rise to the creation and consumption of tourism-related content. However, there is limited knowledge about the characteristics of content creators that enhance users' engagement with their content. The present study aims to fill this gap by examining creator characteristics and their impact on three tiers of user engagement. Tourism-related content
-
For imagination or disillusionment? The social compensation and social enhancement effects on dating anxiety for online daters who fear being single Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-10 Li Zhong, Vincent Huang
While some people choose to remain single, dating relationships and marriage remain dominant social expectations in many societies. This societal pressure can exacerbate the fear of being single, creating a vulnerable psychological state. Online dating provides opportunities for those who fear being single to meet new people and develop romantic relationships. And yet, we know little about how online
-
Online communities as a risk factor for gambling and gaming problems: A five-wave longitudinal study Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-09 Janne Vepsäläinen, Markus Kaakinen, Iina Savolainen, Heli Hagfors, Ilkka Vuorinen, Atte Oksanen
Online communities are becoming increasingly important in everyday life, providing opportunities for leisure habits and social organization. Some online communities are also considered risky for participants, but longitudinal studies on the potential negative consequences are needed. This social psychological study was grounded in theories of group behavior and social identification. We examined the
-
Women's sensitivity to threat in online dating and the (in)effectiveness of standard safety warnings Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-09 Shelby Shuster, Brian M. Bird, Tatiana Buhler, Alayna Witzel, Shawn N. Geniole
Acts of sexual aggression are sometimes initiated through an online dating arrangement or encounter (e.g., through Tinder, Bumble). Certain personality and physical traits may be predictive of such sexual aggression propensity, and thus evident in online dating profiles (e.g., biographies and photographs). However, it is unclear whether (1) people are sensitive to such “red flags” and (2) whether safety
-
Integration and analysis of diverse healthcare data sources: A novel solution Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-09 Madallah Alruwaili, Ahmed Alsayat, Muhammad Idris, Saad Alanazi, Khursheed Aurangzeb
Contemporary healthcare analytics requires informed decision-making through seamless integration, correlation, and curation of diverse data from sources like clinical trials, research publications, ubiquitous devices, and standard terminologies. Modern healthcare systems need to monitor temporal changes, manage key features, and deliver robust search capabilities, extending beyond electronic health
-
Rethink data-driven human behavior prediction: A Psychology-powered Explainable Neural Network Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-09 Jiyao Wang, Chunxi Huang, Weiyin Xie, Dengbo He, Ran Tu
Human behavior prediction is a rapidly evolving field with numerous applications in various domains. The rapid development of machine learning facilitates research on data-driven behavior prediction. At the same time, in human factors domains, researchers still focus on modeling psychological decision-making processes from the psychological perspectives of view based on subjective data. However, it
-
Multi-criteria decision-making methods for the evaluation of the social internet of things for the potential of defining human behaviors Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-08 Habib Ullah Khan, Muhammad Abbas, Faheem Khan, Shah Nazir, Adel Binbusayyis, Abdulatif Alabdultif, Whangbo Taegkeun
Multi-criteria decision-making (MCDM) techniques increase evaluation performance and make the selection process easier while lowering illogical needs and expenses for the assessment of SIoT and its impact on the potential of human behaviors. To assess SIoT and its effects on the potential of human behavior, the MCDM-based solutions named the Entropy weighted method (EWM) and Technique for Order of
-
Psychopathological symptoms and social networking sites addiction in Poland and Germany: The role of fear of missing out and preference for online social interaction Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-06 Julia Maria Balcerowska, Julia Brailovskaia
Psychopathological symptoms, especially depression and anxiety, can contribute to the development of addictive tendencies offline and online. The present cross-national study aims to verify whether Fear of Missing Out (FoMO) and Preference for Online Social Interactions (POSI) could explain the relationship between psychopathological symptoms (i.e., depression and anxiety symptoms) and Social Networking
-
Let me decide: Increasing user autonomy increases recommendation acceptance Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-06 Lior Fink, Leorre Newman, Uriel Haran
The use of algorithm assistance for decision making is vastly increasing in recent years, largely in online settings wherein users receive advice from recommendation systems. Despite the prevalence of such augmented decision making, users sometimes demonstrate aversion toward algorithms and even reject the recommendations of highly accurate systems. Research in behavioral decision making on the one
-
Does algorithmic control facilitate platform workers’ deviant behavior toward customers? The ego depletion perspective Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-06 Yan Wang, Zhenyuan Wang, Jiyu Li
Online labor platforms widely implement algorithmic control to ensure that workers consistently deliver quality services. However, extensive evidence suggests that platform workers under the tight monitoring of algorithms still engage in customer-directed deviant behavior, which raises questions about the effectiveness of algorithmic control. Thus, we draw on ego depletion theory to examine the critical
-
The interplay of internalized homophobia, compulsive use of dating apps, and mental distress among sexual minority individuals: Two moderated mediation models Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-06 Avi Marciano, Yossi David, Nadav Antebi-Gruszka
The association between internalized homophobia and mental health problems is well-documented among sexual minority individuals. At the same time, growing evidence suggests that dating apps influence sexual minority individuals’ well-being in different ways. Using data collected from 2165 Israeli cisgender and transgender sexual minority individuals, this study examined the interplay of internalized
-
When should chatbots express humor? Exploring different influence mechanisms of humor on service satisfaction Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-06 Yuguang Xie, Changyong Liang, Peiyu Zhou, Junhong Zhu
As artificial intelligence technologies evolve, a discernible trend is emerging wherein chatbots are imbued with the capability to articulate emotions within online customer service. However, the research on emotional expression by chatbots is still in its infancy, and the existing research on this aspect is inconclusive. Therefore, from the perspective of chatbots expressing humor, this study proposes
-
Authentic presentation or false exaggeration? Exploring the effects of social- and personal-based comparisons from cognitive emotion theory Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-06 Ying Wang, Yongqiang Sun, Nan Wang
This study identifies the potential mechanisms to reveal the differential relationships between social- and personal-based comparisons and self-presentation and self-exaggeration. Specifically, drawing upon cognitive emotion theory, this study explores the relationships between two types of comparisons (i.e., social comparison and life dissatisfaction) and negative emotions (e.g., envy and shame),
-
When is it right for a robot to be wrong? Children trust a robot over a human in a selective trust task Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-05 Rebecca Stower, Arvid Kappas, Kristyn Sommer
-
The new social landscape: Relationships among social media use, social skills, and offline friendships from age 10–18 years Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-05 Silje Steinsbekk, Oda Bjørklund, Patti Valkenburg, Jacqueline Nesi, Lars Wichstrøm
Social media has created a new social landscape for adolescents. Knowledge is needed on how this landscape shapes adolescents’ social skills and time spent with friends, as these outcomes are important to mental health and psychosocial functioning. Using five waves of biennially collected data from a birth cohort assessed throughout age 10–18 years (n = 812), we found that increased social media use
-
An individual adaptive ubiquitous learning paradigm: Focusing on the collection and utilization of academic emotions Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-05 Yichen Yuan, Yang Li, Jing Nie, Xuewei Chao, Jingbin Li
At present, ubiquitous learning has been becoming an important learning style for college students. However, the current studies on ubiquitous learning mostly focus on aspects such as communication and data interaction methods, while ignoring students' academic emotions. In this paper, we propose an individual adaptive ubiquitous learning paradigm that focuses on college students' academic emotions
-
Designing self-ordering kiosk for older adults: Familiarity design focusing on representation, manipulation, and organization Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-04 Chung Heon Lee, Jeongwoo Lee, Doha Kim, Inho Kim, Hayeon Song
As many services convert to digital based on human-machine communication technology, older adults face considerable challenges. With the goal to identify ways to design digital services that are easier for older adults to use, this paper uses the strategy of making self-ordering kiosks more similar to the original version (i.e., paper menu) focusing on three familiarity design approaches: representation
-
Informative and peripheral metaverse: Which leads to experience? An investigation from the viewpoint of self-concept Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-04 Janarthanan Balakrishnan, Ronnie Das, Ali Abdallah Alalwan, Ramakrishnan Raman, Yogesh K. Dwivedi
The growth of the Metaverse has been massive in the last two years. However, limited evidence exists to understand how consumers perceive it as a potential retail space. This study investigates the effect of information (central route) and design (peripheral route) to experience and its subsequent impact on purchase intention and continuation intention in the Metaverse. The study also employed actual
-
Ubiquitous learning models for 5G communication network utility maximization through utility-based service function chain deployment Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-03 Faisal Yousef Alghayadh, Janjhyam Venkata Naga Ramesh, Aadam Quraishi, Sarath babu Dodda, Srihari Maruthi, Mohan Raparthi, Jagdish Chandra Patni, Ahmed Farouk
The main problem of deploying service function chains in virtualized 5G networks is dealt with in wireless 5G communications and effective ubiquitous learning models. The aim is to ensure differentiated network performance for a wide range of services while maximizing the collaborative revenue of infrastructure operators and wireless virtual operators. To achieve this, a utility-based service function
-
Interaction dynamics of social support expressions predict future support-seeking behaviors in online support groups Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-03 Haoning Xue, Wang Liao, Jingwen Zhang
Maintaining the sustainability of online support groups (OSGs) presents a significant challenge. Integrating the literature on interaction dynamics and supportive communication, this study investigated how interaction dynamics in supportive communication foster long-term support-seeking behaviors that are crucial to sustaining continuous support exchanges in OSGs. Using a large-scale dataset of 48
-
Avatars in live streaming commerce: The influence of anthropomorphism on consumers' willingness to accept virtual live streamers Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-03 Hongquan Chen, Bingjia Shao, Xuemei Yang, Weiyao Kang, Wenfang Fan
Although companies are investing more in avatars to improve interactivity and engage their customers better, the effectiveness of avatars in online markets needs more evidences. This study explores the influence mechanism of anthropomorphism on consumers' willingness to accept virtual live streamers, grounded in social identity theory and construal levels theory. Three research hypotheses were formulated
-
Social media addiction among Hong Kong adolescents before and after the pandemic: The effects of parenting behaviors Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-02 Lu Yu, Xiaohua Zhou
The increased social media usage during the COVID-19 pandemic raised the concern about social media addiction (SMA), especially among adolescents. The current study aimed to assess the prevalence of adolescents' SMA in Hong Kong before and during the pandemic, to examine the effects of general parenting behaviors and Internet-specific parenting practices by fathers and mothers respectively on adolescents'
-
Adolescents' mental health, problematic internet use, and their parents' rules on internet use: A latent profile analysis Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-02 Y. Anthony Chen, Tingting Fan
This study explored the connection between adolescent problematic internet use (PIU), mental health, and parents’ rules on internet use. From a person-centered approach, this study considered the coexistence of multiple mental health indicators for adolescents, including psychopathological risks (i.e., depressive symptoms, anxiety, and loneliness) and psychosocial well-being (i.e., social support,
-
How self-disclosure builds cancer communities through authentic stories on YouTube: Mediating role of user participation in self-disclosure reciprocity Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-04-01 Hyang-Sook Kim, Jinie Pak, Mun-Young Chung, Youjeong Kim
Self-disclosure is a communication strategy widely used to convey authentic personal experiences among video bloggers (vloggers) on YouTube. While self-disclosure plays a vital role in attracting viewers, whether self-disclosure enables vlog communities to thrive is relatively unknown. While scholars have suggested that reciprocal self-disclosure between vloggers and viewers can generate basic community
-
Child online safety education: A program evaluation combining a randomized controlled trial and list experiments in Vietnam Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-29 Truong Pham, Daisaku Goto, Duc Tran
-
Does your style engage? Linguistic styles of influencers and digital consumer engagement on YouTube Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-28 Ana Cristina Munaro, Renato Hübner Barcelos, Eliane Cristine Francisco Maffezzolli, João Pedro Santos Rodrigues, Emerson Cabrera Paraiso
-
Adaptive magnification network for precise tumor analysis in histopathological images Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-26 Saeed Iqbal, Adnan N. Qureshi, Khursheed Aurangzeb, Musaed Alhussein, Muhammad Shahid Anwar, Yudong Zhang, Ikram Syed
The variable magnification levels in histopathology images make it difficult to accurately categorize tumor regions in breast cancer histology. In this study, a novel architecture for accurate image interpretation MagNet is presented. With specific modules like Separable Dilation Convolution (SDC), Separable Dilation Skip Block (SDSB), and Point-wise Reformation Block (PRB), MagNet uses a Parallel
-
Cognitive decline with pupil constriction independent of subjective fatigue during prolonged esports across player expertise levels Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-26 Takashi Matsui, Shion Takahashi, Genta Ochi, Seiji Yoshitake, Daisuke Funabashi, Hiroki Matsuoka, Junichi Kagesawa, Shohei Dobashi, Hisashi Yoshimoto, Yosuke Sakairi, Hideki Takagi
-
Using machine learning for continuous updating of meta-analysis in educational context Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-26 Olga Chernikova, Matthias Stadler, Ivan Melev, Frank Fischer
Machine learning and learning analytics are powerful tools that not only support researchers in the detailed measurement and enhancement of learning processes in various learning environments, but also enable the aggregation and synthesis of evidence regarding effective educational practices. This paper describes the development and application of machine learning algorithms aimed at semi-automatic
-
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
-
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
-
Comparing spatial navigation in a virtual environment vs. an identical real environment across the adult lifespan Comput. Hum. Behav. (IF 8.957) Pub Date : 2024-03-24 Saleh Kalantari, Armin Mostafavi, Tong Bill Xu, Anne Seoyoung Lee, Qi Yang
Virtual environments (VEs) are increasingly being used as a research platform for investigating human responses to environmental variables. While VEs provide tremendous advantages in terms of variable isolation and manipulation, and ease of data-collection, some researchers have expressed concerns about the ecological validity of VE-based findings; that is, their transferability to real-world contexts
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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