Pub Date : 2024-11-13DOI: 10.1016/j.chb.2024.108495
Diem-Trang Vo , Long Van Thang Nguyen , Duy Dang-Pham , Ai-Phuong Hoang
Mobile applications integrated with artificial intelligence play a vital role in engaging users with the services thanks to their ability to perform natural interactions and conduct various tasks. Despite users’ quest for authenticity, limited studies have explored the notion of authenticity of this non-human humanlike touchpoint. Study 1 (n = 331) explores the four dimensions of authenticity in the context of AI-powered service apps. Using regulatory engagement and parasocial interaction theory, study 2 (n = 309) confirms media richness, parent brand attitudes, and co-branding fit as influencing factors of perceived authenticity in the context of AI-powered service apps. The six solutions from fsQCA reveal the different but equally important combinations of media, brand, endorser, and personal factors to achieve a high perception of authenticity. This study contributes to the algorithmic experience literature by extending the idea of “proper means” in the AI-powered context.
{"title":"What makes an app authentic? Determining antecedents of perceived authenticity in an AI-powered service app","authors":"Diem-Trang Vo , Long Van Thang Nguyen , Duy Dang-Pham , Ai-Phuong Hoang","doi":"10.1016/j.chb.2024.108495","DOIUrl":"10.1016/j.chb.2024.108495","url":null,"abstract":"<div><div>Mobile applications integrated with artificial intelligence play a vital role in engaging users with the services thanks to their ability to perform natural interactions and conduct various tasks. Despite users’ quest for authenticity, limited studies have explored the notion of authenticity of this non-human humanlike touchpoint. Study 1 (n = 331) explores the four dimensions of authenticity in the context of AI-powered service apps. Using regulatory engagement and parasocial interaction theory, study 2 (n = 309) confirms media richness, parent brand attitudes, and co-branding fit as influencing factors of perceived authenticity in the context of AI-powered service apps. The six solutions from fsQCA reveal the different but equally important combinations of media, brand, endorser, and personal factors to achieve a high perception of authenticity. This study contributes to the algorithmic experience literature by extending the idea of “proper means” in the AI-powered context.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"163 ","pages":"Article 108495"},"PeriodicalIF":9.0,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-12DOI: 10.1016/j.chb.2024.108498
Madison Meston, David E. Williams
This paper explores an authentic way for brands to connect with the non-binary community, an understudied and underserved audience. With a call for better representation, this study is the first to investigate what role non-binary social media influencers (SMIs) may play in filling this gap. Using Interpretative Phenomenological Analysis, non-binary social media users were interviewed on their perceptions, thoughts, and feelings of non-binary SMIs. Three superordinate themes were discovered: (1) Motivations for following non-binary SMIs, (2) Popularity Factors of non-binary SMIs, and (3) Representation of the community through non-binary SMIs. The findings may be paired with existing literature to provide a basis for future research on influencer marketing to the non-binary community.
{"title":"Perception of non-binary social media users towards authentic non-binary social media influencers","authors":"Madison Meston, David E. Williams","doi":"10.1016/j.chb.2024.108498","DOIUrl":"10.1016/j.chb.2024.108498","url":null,"abstract":"<div><div>This paper explores an authentic way for brands to connect with the non-binary community, an understudied and underserved audience. With a call for better representation, this study is the first to investigate what role non-binary social media influencers (SMIs) may play in filling this gap. Using Interpretative Phenomenological Analysis, non-binary social media users were interviewed on their perceptions, thoughts, and feelings of non-binary SMIs. Three superordinate themes were discovered: (1) Motivations for following non-binary SMIs, (2) Popularity Factors of non-binary SMIs, and (3) Representation of the community through non-binary SMIs. The findings may be paired with existing literature to provide a basis for future research on influencer marketing to the non-binary community.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"163 ","pages":"Article 108498"},"PeriodicalIF":9.0,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-12DOI: 10.1016/j.chb.2024.108494
Guo-Li Chiou , Meng-Jung Tsai , Chung-Yuan Hsu
The purpose of this study was to examine the effect of self-explanation prompts on game performance using eye-tracking techniques. We adopted an experimental design for the study. A total of 40 4th graders participated and were randomly assigned to either the experimental or control group. While the experimental group played a computer game with self-explanation prompts, the control group played the same game without any prompts. A Tobii 4C eye tracker with a sampling rate of 90 Hz was used to record the eye movements of the participants while they were playing the game. A pre-test and post-test were used to assess the participants’ understanding of the target concepts of the game before and after their game-playing, respectively. The results indicated an interaction effect between self-explanation and prior knowledge on the learning outcomes. Regarding the participants with lower-level prior knowledge, the experimental group gained significantly better scores on the posttest than the control group. In contrast, with respect to the participants with higher-level prior knowledge, the self-explanation prompts did not demonstrate a positive effect on the experimental group. Moreover, the results of the lag sequential analysis provide solid evidence of the differences in visual transitional patterns between the participants with different levels of prior knowledge while they were reacting to the self-explanation prompts. These results could account for the different learning outcomes achieved by the participants with different levels of prior knowledge in the experimental group.
{"title":"The effects of self-explanation on game-based learning: Evidence from eye-tracking analyses","authors":"Guo-Li Chiou , Meng-Jung Tsai , Chung-Yuan Hsu","doi":"10.1016/j.chb.2024.108494","DOIUrl":"10.1016/j.chb.2024.108494","url":null,"abstract":"<div><div>The purpose of this study was to examine the effect of self-explanation prompts on game performance using eye-tracking techniques. We adopted an experimental design for the study. A total of 40 4th graders participated and were randomly assigned to either the experimental or control group. While the experimental group played a computer game with self-explanation prompts, the control group played the same game without any prompts. A Tobii 4C eye tracker with a sampling rate of 90 Hz was used to record the eye movements of the participants while they were playing the game. A pre-test and post-test were used to assess the participants’ understanding of the target concepts of the game before and after their game-playing, respectively. The results indicated an interaction effect between self-explanation and prior knowledge on the learning outcomes. Regarding the participants with lower-level prior knowledge, the experimental group gained significantly better scores on the posttest than the control group. In contrast, with respect to the participants with higher-level prior knowledge, the self-explanation prompts did not demonstrate a positive effect on the experimental group. Moreover, the results of the lag sequential analysis provide solid evidence of the differences in visual transitional patterns between the participants with different levels of prior knowledge while they were reacting to the self-explanation prompts. These results could account for the different learning outcomes achieved by the participants with different levels of prior knowledge in the experimental group.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"163 ","pages":"Article 108494"},"PeriodicalIF":9.0,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-12DOI: 10.1016/j.chb.2024.108500
Navneet Kumar Singh , Rajeev Kumar Ray , Nikee Silayach , Devi Prasad Dash , Amit Singh
As the metaverse emerges as a new frontier of human interaction, understanding public perceptions of crime in virtual spaces becomes crucial. This study delves into public perceptions of such crimes, focusing on reported incidents of sexual assault in virtual reality environments. We uncover complex dynamics, shaping threat perception in immersive digital realms by analysing YouTube comments through an innovative mixed-methods approach combining machine learning and empirical analysis. Our findings reveal that social norms and expectations are pivotal in influencing perceptions of threats, while technology-mediated interactions correlate with reduced perceived risks. Surprisingly, the oft-discussed blurring of virtual and physical realities shows no significant impact on threat perception. This research contributes to the expanding literature on the social construction of reality and public perception of emerging technologies. The results have implications for the development and governance of metaverse platforms, highlighting the necessity for comprehensive user education initiatives and culturally sensitive approaches to community guidelines and safety features.
{"title":"Avatars at risk: Exploring public response to sexual violence in immersive digital spaces","authors":"Navneet Kumar Singh , Rajeev Kumar Ray , Nikee Silayach , Devi Prasad Dash , Amit Singh","doi":"10.1016/j.chb.2024.108500","DOIUrl":"10.1016/j.chb.2024.108500","url":null,"abstract":"<div><div>As the metaverse emerges as a new frontier of human interaction, understanding public perceptions of crime in virtual spaces becomes crucial. This study delves into public perceptions of such crimes, focusing on reported incidents of sexual assault in virtual reality environments. We uncover complex dynamics, shaping threat perception in immersive digital realms by analysing YouTube comments through an innovative mixed-methods approach combining machine learning and empirical analysis. Our findings reveal that social norms and expectations are pivotal in influencing perceptions of threats, while technology-mediated interactions correlate with reduced perceived risks. Surprisingly, the oft-discussed blurring of virtual and physical realities shows no significant impact on threat perception. This research contributes to the expanding literature on the social construction of reality and public perception of emerging technologies. The results have implications for the development and governance of metaverse platforms, highlighting the necessity for comprehensive user education initiatives and culturally sensitive approaches to community guidelines and safety features.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"163 ","pages":"Article 108500"},"PeriodicalIF":9.0,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-06DOI: 10.1016/j.chb.2024.108493
Muhammad Rashid Naeem , Muhammad Asghar Khan , Mansoor Khan , Omar Alruwaili , Ibrahim Alrashdi , Saad Alanazi
Ubiquitous learning enables software analysts to acquire knowledge and design test oracles from online resources including developer documentations, forums and collaborative platforms. Test oracles are primarily designed by humans and may contain quality defects. Mutation testing can facilitate the adaptability of ubiquitous learning to enhance software quality assurance. Unfortunately, mutation testing generates a large number of faulty versions known as mutants to analyze the quality of test oracles which is computationally expensive. In this paper, we proposed minimal path selection strategy to select fewer and non-trivial mutants to analyze diverse test oracles realizing ubiquitous learning environments. The proposed selection strategy explores the relationship between faulty conditions and output statements to identify feasible paths. To establish a ubiquitous learning setup, diverse test oracles are selected by incorporating user input, automated scripts and developer insights. This approach aims to enhance learner engagement and effectively design test oracles. The empirical evaluation and state-of-the-art comparison of various Java-built software programs demonstrated the potential of ubiquitous learning in software quality assurance by reducing 75% of the generated mutants. Furthermore, only 64%–85% of adequate test oracles were required to meet the desired quality assurance criteria. The study highlights the significance of personalized and adaptive approaches to assure software quality in ubiquitous learning environments.
{"title":"Enhancing software quality assurance in ubiquitous learning environments through mutation testing and diverse test oracles","authors":"Muhammad Rashid Naeem , Muhammad Asghar Khan , Mansoor Khan , Omar Alruwaili , Ibrahim Alrashdi , Saad Alanazi","doi":"10.1016/j.chb.2024.108493","DOIUrl":"10.1016/j.chb.2024.108493","url":null,"abstract":"<div><div>Ubiquitous learning enables software analysts to acquire knowledge and design test oracles from online resources including developer documentations, forums and collaborative platforms. Test oracles are primarily designed by humans and may contain quality defects. Mutation testing can facilitate the adaptability of ubiquitous learning to enhance software quality assurance. Unfortunately, mutation testing generates a large number of faulty versions known as mutants to analyze the quality of test oracles which is computationally expensive. In this paper, we proposed minimal path selection strategy to select fewer and non-trivial mutants to analyze diverse test oracles realizing ubiquitous learning environments. The proposed selection strategy explores the relationship between faulty conditions and output statements to identify feasible paths. To establish a ubiquitous learning setup, diverse test oracles are selected by incorporating user input, automated scripts and developer insights. This approach aims to enhance learner engagement and effectively design test oracles. The empirical evaluation and state-of-the-art comparison of various Java-built software programs demonstrated the potential of ubiquitous learning in software quality assurance by reducing 75% of the generated mutants. Furthermore, only 64%–85% of adequate test oracles were required to meet the desired quality assurance criteria. The study highlights the significance of personalized and adaptive approaches to assure software quality in ubiquitous learning environments.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"163 ","pages":"Article 108493"},"PeriodicalIF":9.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-21DOI: 10.1016/j.chb.2024.108477
Ting Xiao , Yu Zeng , Cai Yang , Haowen Xiao , Yueyan Wu
Unlike traditional centralized innovation within a firm, digital innovation is more distributed and involves many heterogeneous innovators within a society. A key challenge is the personalized governance of different innovators. We explored how innovation contests affected digital product innovation across multiple innovators, using a self- or meta-organized contest. Using a dataset of 17,985 innovators, 14,734 innovation contests, and 212,767 digital products from 2015 to 2022, we found that a self-organized contest increases the originality and popularity of digital products, whereas a meta-organized contest decreases these outcomes. An innovation contest is a valuable governance tool for digital innovation, but it backfires when there is a mismatch with a particular innovator. Specifically, the self-organized contest is more helpful for experts' and openers' digital product innovation, but not for novices' or conservatives’ innovation. The opposite is true for meta-organized contests. This study contributes to contest management and personalized governance in digital innovation.
{"title":"Self-organized or meta-organized contests? The two faces of innovation contests in digital product innovation","authors":"Ting Xiao , Yu Zeng , Cai Yang , Haowen Xiao , Yueyan Wu","doi":"10.1016/j.chb.2024.108477","DOIUrl":"10.1016/j.chb.2024.108477","url":null,"abstract":"<div><div>Unlike traditional centralized innovation within a firm, digital innovation is more distributed and involves many heterogeneous innovators within a society. A key challenge is the personalized governance of different innovators. We explored how innovation contests affected digital product innovation across multiple innovators, using a self- or meta-organized contest. Using a dataset of 17,985 innovators, 14,734 innovation contests, and 212,767 digital products from 2015 to 2022, we found that a self-organized contest increases the originality and popularity of digital products, whereas a meta-organized contest decreases these outcomes. An innovation contest is a valuable governance tool for digital innovation, but it backfires when there is a mismatch with a particular innovator. Specifically, the self-organized contest is more helpful for experts' and openers' digital product innovation, but not for novices' or conservatives’ innovation. The opposite is true for meta-organized contests. This study contributes to contest management and personalized governance in digital innovation.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"163 ","pages":"Article 108477"},"PeriodicalIF":9.0,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-20DOI: 10.1016/j.chb.2024.108472
Steven J. Howard , Nicole Hayes , Sumudu Mallawaarachchi , Daniel Johnson , Cathrine Neilsen-Hewett , Janelle Mackenzie , Laura A. Bentley , Sonia L.J. White
There is good reason to implicate self-regulation in our digital recreation duration, choices, and behaviours. However, the direction, degree, and diversity of their association is unclear. To offer more robust and nuanced evidence to this issue of acute public concern, the current study presents a comprehensive meta-analysis of the associations between self-regulation and digital recreation from birth to adolescence – consolidating 183 studies reporting 232 associations from 234,476 children and adolescents. Across these studies, digital recreation clustered into investigations of screen time, features of problematic digital engagement, exposure to violent content, communicating with strangers online, sexting, and media multitasking. Although a pattern of negative bivariate associations was observed between self-regulation and aspects of digital recreation, the strength of association for screen time was weak (r = −.04 for computer use to r = −.15 for social media use). Once control variables were considered, relationships with exposure to violent digital content were rendered similarly trivial, suggesting other variables likely account for these correlations. This reduces our confidence in these associations. In contrast, lower self-regulation was more highly associated with problematic engagement (r = −.28 for problematic gaming to r = −.41 for problematic mobile phone use), communicating with strangers online (r = −.18), and sexting (r = −.20). This pattern of results points to a relationship that is variable by type of digital activity, which in our meta-analyses ranged from null to strong and negative. Where a relationship exists, it may be bi-directional given associations remained for longitudinal studies that positioned either self-regulation or digital recreation as predictor. Most moderators of these associations were non-significant, although the negative association of self-regulation with time spent gaming was increasingly strong with increasing participant age. This study instigates a disentangling of the nature of the relationship between self-regulation and digital choices and behaviours across the early stages of life.
{"title":"A meta-analysis of self-regulation and digital recreation from birth to adolescence","authors":"Steven J. Howard , Nicole Hayes , Sumudu Mallawaarachchi , Daniel Johnson , Cathrine Neilsen-Hewett , Janelle Mackenzie , Laura A. Bentley , Sonia L.J. White","doi":"10.1016/j.chb.2024.108472","DOIUrl":"10.1016/j.chb.2024.108472","url":null,"abstract":"<div><div>There is good reason to implicate self-regulation in our digital recreation duration, choices, and behaviours. However, the direction, degree, and diversity of their association is unclear. To offer more robust and nuanced evidence to this issue of acute public concern, the current study presents a comprehensive meta-analysis of the associations between self-regulation and digital recreation from birth to adolescence – consolidating 183 studies reporting 232 associations from 234,476 children and adolescents. Across these studies, digital recreation clustered into investigations of screen time, features of problematic digital engagement, exposure to violent content, communicating with strangers online, sexting, and media multitasking. Although a pattern of negative bivariate associations was observed between self-regulation and aspects of digital recreation, the strength of association for screen time was weak (<em>r</em> = −.04 for computer use to <em>r</em> = −.15 for social media use). Once control variables were considered, relationships with exposure to violent digital content were rendered similarly trivial, suggesting other variables likely account for these correlations. This reduces our confidence in these associations. In contrast, lower self-regulation was more highly associated with problematic engagement (<em>r</em> = −.28 for problematic gaming to <em>r</em> = −.41 for problematic mobile phone use), communicating with strangers online (<em>r</em> = −.18), and sexting (<em>r</em> = −.20). This pattern of results points to a relationship that is variable by type of digital activity, which in our meta-analyses ranged from null to strong and negative. Where a relationship exists, it may be bi-directional given associations remained for longitudinal studies that positioned either self-regulation or digital recreation as predictor. Most moderators of these associations were non-significant, although the negative association of self-regulation with time spent gaming was increasingly strong with increasing participant age. This study instigates a disentangling of the nature of the relationship between self-regulation and digital choices and behaviours across the early stages of life.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"163 ","pages":"Article 108472"},"PeriodicalIF":9.0,"publicationDate":"2024-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-02DOI: 10.1016/j.chb.2024.108464
Dorian Tsolak , Simon Kühne
Social media platforms have had a significant impact on people's everyday lives worldwide and imagery on social media has become a vital means of practicing views of the self and communicating them to others. Albeit a significant proportion of people frequently upload self-representations on social media, this source of information on individuals, groups, and societies remains under-examined within the social sciences and neighboring disciplines. In our study, we focus on gender-stereotypical body-posing in self-portraits on social media. While sociology has examined gender stereotypes for decades, research lacks empirical evidence on representations in digital contexts as well as novel forms of stereotyping. We present a scalable and transferable methodology for analyzing body poses in images by combining neural network pose detection with an unsupervised learning approach and applying this methodology to data from the social media platform Instagram. Based on a clustering algorithm applied to gender-annotated imagery, we identify 150 body posing clusters. Our results reveal significant gender differences in 20 percent of clusters, many of which represent gender-stereotypical body poses addressed in sociological literature. Moreover, we can identify new stereotypical poses related to smartphone technology and social media trends. This study represents a novel approach to utilizing large-scale image data for social science research and contributes to a better understanding of the consolidation and reproduction of gender stereotypes in digital realms.
{"title":"Unveiling digital mirrors: Decoding gendered body poses in instagram imagery","authors":"Dorian Tsolak , Simon Kühne","doi":"10.1016/j.chb.2024.108464","DOIUrl":"10.1016/j.chb.2024.108464","url":null,"abstract":"<div><div>Social media platforms have had a significant impact on people's everyday lives worldwide and imagery on social media has become a vital means of practicing views of the self and communicating them to others. Albeit a significant proportion of people frequently upload self-representations on social media, this source of information on individuals, groups, and societies remains under-examined within the social sciences and neighboring disciplines. In our study, we focus on gender-stereotypical body-posing in self-portraits on social media. While sociology has examined gender stereotypes for decades, research lacks empirical evidence on representations in digital contexts as well as novel forms of stereotyping. We present a scalable and transferable methodology for analyzing body poses in images by combining neural network pose detection with an unsupervised learning approach and applying this methodology to data from the social media platform Instagram. Based on a clustering algorithm applied to gender-annotated imagery, we identify 150 body posing clusters. Our results reveal significant gender differences in 20 percent of clusters, many of which represent gender-stereotypical body poses addressed in sociological literature. Moreover, we can identify new stereotypical poses related to smartphone technology and social media trends. This study represents a novel approach to utilizing large-scale image data for social science research and contributes to a better understanding of the consolidation and reproduction of gender stereotypes in digital realms.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"163 ","pages":"Article 108464"},"PeriodicalIF":9.0,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-17DOI: 10.1016/j.chb.2023.107998
Debajyoti Pal , Chonlameth Arpnikanondt
The metaverse is an emerging area of research and has a lot of potential in providing individuals with an alternate place of inhabitation. The importance of metaverse escapism although has been discussed in current literatures, but what can be its drivers and consequences is unclear. From a theoretical perspective, escapism can be modelled in two way: cause-based (positivist) and effect-based (negativist). In this work we propose a positivist approach by theorizing how different types of real-life problems (autonomy, competence, and relatedness) will drive metaverse escapism, fostering attachment with this virtual place. We collect 585 responses from users of VR-based metaverse applications like Horizon World, VR Chat, etc. The results are analysed using Partial Least Squares based Structural Equation Modelling (PLS-SEM) technique. We found that only autonomy and competence problems lead to metaverse escapism, and further to virtual place attachment. Metaverse escapism acts like a full mediator in the link between real-world problems and virtual place attachment. Likewise, anxiety positively moderates the relationship between competence problem and escapism, but negatively moderates the relationship between autonomy problem and escapism. Our work contributes to the metaverse literatures by identifying those who are likely to engage in metaverse escapism. Our model explains 60.4% of the variance in virtual place attachment, indicating the practical significance of identifying the correct targets and fostering their attachment with this virtual world.
{"title":"The sweet escape to metaverse: Exploring escapism, anxiety, and virtual place attachment","authors":"Debajyoti Pal , Chonlameth Arpnikanondt","doi":"10.1016/j.chb.2023.107998","DOIUrl":"https://doi.org/10.1016/j.chb.2023.107998","url":null,"abstract":"<div><p>The metaverse is an emerging area of research and has a lot of potential in providing individuals with an alternate place of inhabitation. The importance of metaverse escapism although has been discussed in current literatures, but what can be its drivers and consequences is unclear. From a theoretical perspective, escapism can be modelled in two way: cause-based (positivist) and effect-based (negativist). In this work we propose a positivist approach by theorizing how different types of real-life problems (autonomy, competence, and relatedness) will drive metaverse escapism, fostering attachment with this virtual place. We collect 585 responses from users of VR-based metaverse applications like Horizon World, VR Chat, etc. The results are analysed using Partial Least Squares based Structural Equation Modelling (PLS-SEM) technique. We found that only autonomy and competence problems lead to metaverse escapism, and further to virtual place attachment. Metaverse escapism acts like a full mediator in the link between real-world problems and virtual place attachment. Likewise, anxiety positively moderates the relationship between competence problem and escapism, but negatively moderates the relationship between autonomy problem and escapism. Our work contributes to the metaverse literatures by identifying those who are likely to engage in metaverse escapism. Our model explains 60.4% of the variance in virtual place attachment, indicating the practical significance of identifying the correct targets and fostering their attachment with this virtual world.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"150 ","pages":"Article 107998"},"PeriodicalIF":9.9,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50190165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-17DOI: 10.1016/j.chb.2023.107992
Ward van Zoonen , Vilma Luoma-aho , Matias Lievonen
This study aims to investigate the association between trust in institutions and the reasons for sharing unverified information on social media. Specifically, this study explores the role of perceived self-efficacy in detecting misinformation and the motivation to authenticate information in online contexts. We draw on a sample of 2600 respondents, mainly Generation Z and Millennials (ages between 15 and 30). The findings show a blinding side of trust, revealing a positive association between trust in institutions on social media and reasons for sharing unverified information. Trust in institutions is positively associated with perceived self-efficacy in detecting misinformation. We suggest that the positive correlation between trust in institutions and perceived self-efficacy in detecting misinformation implies an overconfidence effect – i.e., individuals may overestimate their ability to assess information based on their belief that a source (institution) is trustworthy. This arguably represents a tendency to divert attention away from the accuracy of the information and explains the positive indirect association between trust and the likelihood of sharing unverified content. Moreover, trust is negatively associated with individuals' motivation to authenticate information, suggesting that individuals may rely on information utility rather than engage in critical thinking and verification. This study contributes to understanding the spread of misinformation on social media by highlighting the role of trust in institutions and its association with individuals' reasons for sharing unverified information. It also emphasizes the importance of perceived self-efficacy in detecting misinformation and the motivation to authenticate information as mediating mechanisms.
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