Computers in human behavior reports最新文献

{"title":"The advancement of digital payment ecosystem in metaverse: A literature review","authors":"Christy Dwita Mariana ,&nbsp;Zaäfri Ananto Husodo ,&nbsp;Irwan Adi Ekaputra ,&nbsp;Mochammad Fahlevi","doi":"10.1016/j.chbr.2024.100570","DOIUrl":"10.1016/j.chbr.2024.100570","url":null,"abstract":"<div><div>Metaverse, a virtual space created as a digital version of the real world, is currently under development. Over the past two years, there has been a significant rise in scientific research on the metaverse. However, prior research necessitates a methodical examination of the literature on developing the metaverse environment, particularly with regard to payment ecology. To bridge this gap, we reviewed 40 journal articles related to the metaverse digital payment ecosystem and offer recommendations for future research. We refer to the Scientific Procedures and Rationales for Systematic Literature Reviews” (“SPAR-4-SLR”) procedure for carrying out a thorough review of the literature. Bibliometric analysis was also performed for the thematic observations. The results reveal five clusters in the Metaverse digital payment ecosystem: (1) metaverse reality, (2) technology, (3) data analytics, (4) blockchain, (5) non-fungible tokens (NFTs), and other tokens. Metaverse digital payment ecosystem research is still somewhat scattered and has no significant theme. Furthermore, this study provides a path for future research on the stability of the payment ecosystem and the metaverse regulatory framework.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100570"},"PeriodicalIF":4.9,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143147682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MiEmo: A multi-modal platform on emotion recognition for children with autism spectrum condition","authors":"Eleonora Chitti ,&nbsp;Rossana Actis-Grosso ,&nbsp;Paola Ricciardelli ,&nbsp;Benedetta Olivari ,&nbsp;Cecilia Carenzi ,&nbsp;Mariantonia Tedoldi ,&nbsp;N. Alberto Borghese","doi":"10.1016/j.chbr.2024.100549","DOIUrl":"10.1016/j.chbr.2024.100549","url":null,"abstract":"<div><h3>Introduction</h3><div>This study presents MiEmo, a multi-modal digital platform designed to improve emotion recognition in children with Autism Spectrum Condition (ASC). The platform integrates serious games with music and color as feedback mechanisms to strengthen emotion understanding in addition to traditional visual interventions such as pictures and videos. The study aims to assess the usability and potential effectiveness of MiEmo in supporting therapy for children with medium- and high-functioning ASC.</div></div><div><h3>Methods</h3><div>A pilot usability study was conducted in two rehabilitation centers involving 19 children, 8 with medium and 11 with high functioning ASC. Participants engaged with six training activities, or exergames, on the MiEmo platform that implemented multi-modal feedback (music pieces and colored animations associated to the emotion). The System Usability Scale (SUS) and qualitative feedback from therapists were used to evaluate the platform's usability.</div></div><div><h3>Results</h3><div>The average SUS scores were 86.88 for children with medium-functioning ASC and 96.75 for those with high-functioning ASC, indicating positive usability. Therapists noted that while the platform was well-received, further updates are needed for better adaptation to medium-functioning children. Multi-modal feedback, particularly music and color, was found to enhance emotion recognition, with children responding well to the integration of these sensory cues.</div></div><div><h3>Conclusion</h3><div>The study demonstrates that MiEmo has significant potential as a tool for socio-emotional training, particularly for high-functioning children. However, limitations such as the small sample size, short intervention duration, and lack of a control group suggest that future studies with larger participant groups are necessary to validate these findings and assess long-term effects.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100549"},"PeriodicalIF":4.9,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143147690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sexting among adolescents: The role of Dark Triad in its prevalence and severity depending on sex","authors":"Tara Alonso del Hierro ,&nbsp;María Penado Abilleira ,&nbsp;María-Paula Ríos-de-Deus ,&nbsp;María-Luisa Rodicio-García","doi":"10.1016/j.chbr.2024.100564","DOIUrl":"10.1016/j.chbr.2024.100564","url":null,"abstract":"<div><div>Sexting is an increasingly common form of communication among adolescents. Although this is not in itself a reprehensible or harmful act, it can become dangerous if this sharing is done under pressure, in a non-consensual manner, or has negative consequences for one of the parties involved. For this reason, this study aims to explore in depth the characteristics of the Dark Triad that may be related to the distribution of intimate images in the adolescent population and to investigate the possible differences in this relationship based on sex. Data were collected from a sample of 1570 adolescents aged 13 to 18. The results show a greater sexting behavior by girls, especially when it is carried out through social networks. Similarly, narcissistic and psychopathic traits are the traits most strongly associated with the presence and severity of image-sharing behavior in both boys and girls, with their importance varying according to the medium in which the image exchange takes place. Only Machiavellian traits seem to be associated with the occurrence of sexting among girls when it is done via mobile phones. In short, dark personality traits are relevant factors in the presence and severity of image-sharing behavior among adolescents, with differences observed according to the sex of the adolescents and the technological medium used.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100564"},"PeriodicalIF":4.9,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nudes, just cuddles, and weird questions: Sexual self-image in couples’ text messages","authors":"Jessamyn Moxie ,&nbsp;Erika Montanaro ,&nbsp;Jasmine Temple ,&nbsp;Bridget Jules ,&nbsp;Joseph Thompson ,&nbsp;Diana Gioia ,&nbsp;Sarai Ordonez ,&nbsp;Stuti Joshi ,&nbsp;Elsa Boehm","doi":"10.1016/j.chbr.2024.100553","DOIUrl":"10.1016/j.chbr.2024.100553","url":null,"abstract":"<div><div>Emerging adulthood is a key developmental period of identity (including sexual and romantic identity). Sexual self-image, or the intersection between body image and sexual behaviors/sexuality, has implications for mental health and sexual health at this critical developmental stage. Text messages are a ubiquitous method of communication for emerging adults, and sexting (i.e., text messages with sexualized content) has both positive and negative health and relationship effects. We examine how emerging adult couples use text messages to communicate about their sexual self-image. We analyzed 20 emerging adult couples’ text messages in the first six months of their relationship for themes related to how bodies were discussed in the context of sexual activity. We used both content and tonal qualitative analyses. We found six themes: (1) complimenting, (2) affirming, (3) sharing information, (4) expressing boundaries, (5) asserting agency, and (6) expressing desires. Although the majority of research focused on sexting focuses on risk or negative outcomes, we find that sexting as it relates to bodies can be a source of comfort, affirmation, expression of desires, and boundary setting. Our findings point to opportunities for increasing communication skills to improve sexual health and body empowerment among emerging adults.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100553"},"PeriodicalIF":4.9,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143147692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Uncovering personalized L2 motivation and self-regulation in ChatGPT-assisted language learning: A hybrid PLS-SEM-ANN approach","authors":"Amir Reza Rahimi ,&nbsp;Mahshad Sheyhkholeslami ,&nbsp;Ali Mahmoudi Pour","doi":"10.1016/j.chbr.2024.100539","DOIUrl":"10.1016/j.chbr.2024.100539","url":null,"abstract":"<div><div>Currently, chatbots powered by artificial intelligence (AI) have gained considerable attention due to their ability to provide personalized language learning (PLL) for learners. In this regard, recent studies have extensively explored learners' emotional aspects, such as their attitudes and acceptance of personalized language learning in chatbots. It is, however, unclear what factors might determine their cognitive behaviors in such a personalized language learning environment, particularly their self-regulation. To fill the gap, the researchers collected data from 133 Iranian EFL learners who had personalized language learning through ChatGPT in their language learning institute and answered our questionnaire that tapped on their personalized L2 motivational self-system (PEL2MSS) and their personalized self-regulation (PESRL). The researchers analyzed the empirical data using a hybrid SEM-artificial neural network (SEM-ANN), in contrast to previous literature that primarily relied on structural equation modeling (SEM). The results showed that ChatGPT significantly responded to language learners' current L2-self and their ought to L2-self to pass their obligation, and metrics to reach their goals resulted in seeking more assistance from ChatGPT and evaluating their language learning progress with it. Moreover, the sign of digital self-authenticity was also discovered by the researchers, where learners dedicated more motivation to learn language with ChatGPT in comparison with their previous language learning environments, which culminated in having more self-evaluation, goal-setting, and daily academic schedule to learn language with ChatGPT. Additionally, the ANN analysis supported the linear findings of the PLS-SEM by showing that language learners' current L2-self, digital self-authenticity, and ought to L2-self were the most significant motivational factors affecting their PESRL. Based on these findings, a new conceptual framework for the PLL was developed in the literature, and the research view was shifted from covering language learners' emotional aspects to their cognitive aspects in this environment. Thus we recommend that language teachers should avoid seeing ChatGPT as a tool that learners use for cheating; rather, it can be used as a co-teacher outside of the classroom to help students cover their present language learning needs, which might not be covered in the classroom due to the time restriction.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100539"},"PeriodicalIF":4.9,"publicationDate":"2024-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143147687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence of phantom vibration syndrome and its associated factors among undergraduate students in a public university","authors":"Abu Bakar Bin Hamdan,&nbsp;Nor Afiah Binti Mohd Zulkefli,&nbsp;Fatimah Binti Ahmad Fauzi","doi":"10.1016/j.chbr.2024.100552","DOIUrl":"10.1016/j.chbr.2024.100552","url":null,"abstract":"<div><h3>Background</h3><div>Phantom Vibration Syndrome (PVS) is a unique and interesting phenomenon caused by the widespread use of smart devices where individuals perceive vibrations from their smart devices when none are occurring. It is classified as a tactile hallucination because the brain interprets an absent sensation. This study highlights the importance of urgency in dealing with this issue in our technologically advanced society by providing useful information for both scholarly discussion and real-life use in the digital age.</div></div><div><h3>Objectives</h3><div>This study was conducted to determine the prevalence of PVS and its associated factors, which include sociodemographic characteristics, device characteristics, device usage patterns, smartphone addiction, and mental health.</div></div><div><h3>Methodology</h3><div>A cross-sectional study was conducted using a validated questionnaire among undergraduate students in a public university in Malaysia, who were identified using proportionate stratified random sampling. The dependent variable measured through the questionnaire was the prevalence of PVS, while the independent variables were socio-demographic factors (age, gender, ethnic), device characteristics (types of devices, device location, notification alert in vibration mode and regularity in using vibration mode), device usage patterns (frequency, duration and purpose of using devices), smartphone addiction, and mental health (perceived stress, anxiety and depression). Data were analyzed using IBM SPSS application version 29.</div></div><div><h3>Results</h3><div>A total of 381 responses were obtained, with response rate of 92.7%. The mean age of respondents was 21.96 ± 1.64 years. The prevalence of PVS was 49.3%, which was predicted by age (AOR: 0.55; 95%CI: 0.38–0.95), location of device carried in the front pocket of pants (AOR: 0.58; 95%CI: 0.36–0.95), location of device carried in sling bag (AOR: 0.49; 95%CI: 0.32–0.77), notification alert in vibration mode (AOR: 2.33; 95%CI: 1.33–4.09) and regularity using vibration mode (AOR: 2.91; 95%CI: 1.84–4.61).</div></div><div><h3>Conclusion</h3><div>Five factors predicted PVS in this study, comprising one sociodemographic variable and 4 device characteristics variables. Based on the results, health education should teach undergraduate students to recognize PVS symptoms and implement healthy technology practices such as optimizing device placement, decreasing vibration mode usage, and regulating device usage behaviors. Practical advice on setting limits and taking breaks can also reduce PVS risk.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100552"},"PeriodicalIF":4.9,"publicationDate":"2024-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143147689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Social media in the adult population: Potential outcomes and its relationship with self-esteem and well-being - A systematic literature review","authors":"Giorgia Rossi ,&nbsp;Caterina Fiorilli ,&nbsp;Giacomo Angelini ,&nbsp;Teresa Grimaldi Capitello","doi":"10.1016/j.chbr.2024.100555","DOIUrl":"10.1016/j.chbr.2024.100555","url":null,"abstract":"<div><div>The rapid expansion of social media and digital device use has created a new phenomenon: Problematic Internet Use (PIU). Numerous studies have explored the potential impact of digital use on the self-esteem and well-being of users. This systematic review examines and synthesizes the findings of studies that have investigated the possible outcomes of self-esteem, anxiety, depression, and loneliness. A search on PsycINFO, PubMed, and Scopus identified 37 eligible studies that investigated these variables in a sample of adults (18 years and above). The findings from these studies were categorized based on their impact on self-esteem, anxiety, depression, and loneliness. They reported the relationship of these variables with other interesting factors such as Fear of Missing out (FoMo), social anxiety, emotional investment, and differences between young adults and older adults and the differences based on gender. However, the studies included in the review have limitations, such as small sample sizes, cross-sectional design, and self-reporting to evaluate the possible consequences. To gain a deeper understanding of the mechanisms underlying the relationship between digital use and its impact on users, future studies must investigate this relationship through qualitative and longitudinal studies.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100555"},"PeriodicalIF":4.9,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Taiwanese high school students’ perspectives on artificial intelligence and its applications","authors":"Yi-Ning Kelly Huang ,&nbsp;Mei-Chen Chang ,&nbsp;Shiang-Yao Liu","doi":"10.1016/j.chbr.2024.100550","DOIUrl":"10.1016/j.chbr.2024.100550","url":null,"abstract":"<div><div>The profound impact of AI technology on human life, from daily routines to professional settings, necessitates a corresponding evolution in education, where the content must adapt to the advancements in AI technology. Given high school students' status as digital natives, understanding their perspectives is invaluable for planning suitable lessons and informing policy formulation in education. This study therefore aimed to investigate high school students' knowledge, perceptions, and acceptance of the application of AI in medicine and agriculture. Questionnaires and interviews were used to explore students' perspectives. Data were collected from 373 students (aged 15–17), and the results indicated that their understanding of AI was limited: approximately 64 percent of participants could not identify the meaning of ‘AI’. Moreover, students were more reluctant to accept the use of AI in medicine. However, students' acceptance improved significantly when the context of the questions involved humans in AI decision-making. Nonetheless, the analysis showed a positive correlation between students' perceptions of the benefits and acceptance of AI applications in both the agricultural and medical domains. These findings underscore the importance of incorporating discussions on emerging AI technologies into high school science curricula, helping cultivate students' fundamental understanding of emerging technological advancements and knowledge, thereby facilitating societal progress.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100550"},"PeriodicalIF":4.9,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143147685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding age-related differences in online prosocial behavior: A qualitative thematic analysis of interpersonal, ideological, and mixed patterns","authors":"Algae Kit Yee Au ,&nbsp;Sophie Kai Lam Cheng ,&nbsp;Wesley Chi Hang Wu ,&nbsp;David H.K. Shum ,&nbsp;John B. Nezlek ,&nbsp;Bryant Pui Hung Hui","doi":"10.1016/j.chbr.2024.100557","DOIUrl":"10.1016/j.chbr.2024.100557","url":null,"abstract":"<div><div>Prosocial behaviors (PB), referring to voluntary acts intended to benefit others, have become increasingly prevalent online due to advancements in Internet and technology, providing opportunities to benefit people globally. Moreover, previous research suggests that age is a crucial determinant of PB, although the findings are mixed. This study explored the types of online prosocial behaviors (OPB) preferred by different age groups among a sample of 31 Hong Kong Chinese aged 20–70. The participants included a roughly equal number of females and males, recruited through social media platforms. Participants engaged in four focus group discussions, sharing their experiences and thoughts on OPB. The thematic analysis was guided by a recently developed classification of prosociality, distinguishing between interpersonal prosociality (direct PB with immediate feedback) and ideological prosociality (indirect benefits toward collectives without immediate outcomes). Inductive codes that could not be allocated to either type were grouped as a new theme. Three themes emerged: (i) interpersonal OPB (e.g., helping others online for specific goals), (ii) ideological OPB (e.g., concern about injustice and environmental issues), and (iii) mixed OPB (e.g., saving animals, updating COVID-19 information). We found that attention to interpersonal prosociality was highest among older adults (aged 60+), while younger adults (aged 18–29) exhibited greater concern for ideological OPB compared to their older counterparts. Our findings contribute to the conceptual framework of prosociality and underscore the importance of age-related factors in future quantitative research on OPB and on the design of online charity campaigns.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100557"},"PeriodicalIF":4.9,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143147691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The disparity between performance-based and self-reported measures of TPACK: Implications for teacher education and professional development","authors":"Ebrahim Mohammadpour ,&nbsp;Yahya Maroofi","doi":"10.1016/j.chbr.2024.100554","DOIUrl":"10.1016/j.chbr.2024.100554","url":null,"abstract":"<div><div>The concept of technological, pedagogical, and content knowledge is influenced by various factors and can be assessed using self-assessment scales. However, relying solely on these scales raises concerns. This study comparing two teacher recruitment and training methods found that longer-term training resulted in better pedagogical and technological knowledge, while the short-term training group excelled in content knowledge. However, there were no significant differences in other TPACK components. The study also emphasized that teachers often overestimate their knowledge, underscoring the importance of comprehensive training programs and multiple assessment methods to evaluate teacher skills and knowledge.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100554"},"PeriodicalIF":4.9,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143147688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}