Computers in human behavior reports最新文献_第4页

Computational persuasion technologies, explainability, and ethical-legal implications: A systematic literature review

IF 4.9

Computers in human behavior reports Pub Date : 2024-12-28 DOI: 10.1016/j.chbr.2024.100577

Davide Calvaresi , Rachele Carli , Simona Tiribelli , Berk Buzcu , Reyhan Aydogan , Andrea Di Vincenzo , Yazan Mualla , Michael Schumacher , Jean-Paul Calbimonte

{"title":"Computational persuasion technologies, explainability, and ethical-legal implications: A systematic literature review","authors":"Davide Calvaresi , Rachele Carli , Simona Tiribelli , Berk Buzcu , Reyhan Aydogan , Andrea Di Vincenzo , Yazan Mualla , Michael Schumacher , Jean-Paul Calbimonte","doi":"10.1016/j.chbr.2024.100577","DOIUrl":"10.1016/j.chbr.2024.100577","url":null,"abstract":"<div><div>This paper conducts a systematic literature review (SLR) to evaluate the effectiveness of computational persuasion technology (CPT) in the eHealth domain. Over the past fifteen years, CPT has been used in various scenarios, from promoting healthy diets to supporting chronic disease management. Despite the proliferation of intelligent systems and Web-based applications, the ethical and legal nuances of these technologies have become increasingly significant. The review follows a structured methodology, assessing 92 primary studies through sixteen research questions covering demographics, application scenarios, user requirements, objectives, functionalities, technologies, advantages, limitations, proposed solutions, ethical and legal implications, and the role of explainable AI (XAI). The findings indicate that while CPT holds promise in inducing behavioral change, many prototypes remain untested on a large scale (60% of surveyed studies only developed at a conceptual level), and long-term effectiveness is still uncertain (36% report attaining their goals, but none focuses on long-term assessment). The study highlights the need for more comparative analyses of persuasion models and tailored approaches to meet diverse user needs. Ethical and legal concerns, such as patient consent, data privacy, and potential for users’ manipulation, are under-explored and require deeper investigation. The paper recommends a bottom-up regulatory approach to create more effective and flexible ethical and legal guidelines for CPT applications.</div><div>In conclusion, significant advancements have been made in CPT for eHealth, but ongoing research is essential to address current limitations, enhance user acceptability and adherence, and ensure ethical and legal soundness.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100577"},"PeriodicalIF":4.9,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146937","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}

引用次数: 0

Trust in the machine: How contextual factors and personality traits shape algorithm aversion and collaboration

IF 4.9

Computers in human behavior reports Pub Date : 2024-12-28 DOI: 10.1016/j.chbr.2024.100578

Vinícius Ferraz , Leon Houf , Thomas Pitz , Christiane Schwieren , Jörn Sickmann

{"title":"Trust in the machine: How contextual factors and personality traits shape algorithm aversion and collaboration","authors":"Vinícius Ferraz , Leon Houf , Thomas Pitz , Christiane Schwieren , Jörn Sickmann","doi":"10.1016/j.chbr.2024.100578","DOIUrl":"10.1016/j.chbr.2024.100578","url":null,"abstract":"<div><div>This paper studies how contextual factors and personal variables influence the delegation of decisions to an algorithm. Using a multi-armed bandit task, we conducted an experiment with four treatments – baseline, explanation, payment, and automation – where participants repeatedly chose between making decisions themselves or delegating to an algorithm under uncertainty. We evaluated the impact of Big Five personality traits, locus of control, generalized trust, and demographics alongside the treatment effects using statistical analyses and machine learning models, including Random Forest Classifiers for delegation behavior and Uplift Random Forests for causal effects. Results show that payment reduces delegation, whereas full automation increases it. Age, extraversion, neuroticism, generalized trust, and internal locus of control significantly and consistently influenced delegation decisions across both predictive and causal analyses. Additionally, female participants reacted more strongly to algorithm errors. Increased delegation rates improved algorithm accuracy. These findings provide new insights into the roles of contextual conditions, personal variables, and gender in shaping algorithm aversion and utilization, offering practical implications for designing user-centric AI systems.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100578"},"PeriodicalIF":4.9,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143147002","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}

引用次数: 0

Sex differences in smartphone use profiles and the association with life satisfaction among South Korean second-year middle-school students: A latent profile analysis

IF 4.9

Computers in human behavior reports Pub Date : 2024-12-27 DOI: 10.1016/j.chbr.2024.100575

Eunha Jeong

{"title":"Sex differences in smartphone use profiles and the association with life satisfaction among South Korean second-year middle-school students: A latent profile analysis","authors":"Eunha Jeong","doi":"10.1016/j.chbr.2024.100575","DOIUrl":"10.1016/j.chbr.2024.100575","url":null,"abstract":"<div><div>This study aimed to explore smartphone use profiles by sex among South Korean second-year middle-school students and examine their association with life satisfaction. Using data from the second wave (2019) of the Korean Children and Youth Panel Survey (2018), this study analyzed 2332 s-year middle-school students. Latent profile analysis was employed to differentiate smartphone use, and differences in life satisfaction among the smartphone use profiles were assessed using analysis of covariance. Females scored higher than males for the smartphone use subcategories of family relationships, friendships, and social networking service (SNS), tool, and information-seeking use. The only subcategory they did not score higher on was entertainment use. Moreover, the four male profiles included the “overall underused,” “SNS-excluded low use,” “SNS intensive use,” and “SNS underused” types. The three female profiles included the “overall underused,” “SNS intensive use,” and “SNS underused” types. Females in the “overall underused” type showed the lowest life satisfaction. These results suggest that to increase adolescents’ life satisfaction, schools and teachers must consider heterogeneity and sex differences in smartphone use when providing guidelines for appropriate smartphone use.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100575"},"PeriodicalIF":4.9,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143147001","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}

引用次数: 0

A dual-focus analysis of wikipedia traffic and linguistic patterns in public risk awareness Post-Charlie Hebdo

IF 4.9

Computers in human behavior reports Pub Date : 2024-12-26 DOI: 10.1016/j.chbr.2024.100580

Or Elroy , Gordon Woo , Nadejda Komendantova , Abraham Yosipof

{"title":"A dual-focus analysis of wikipedia traffic and linguistic patterns in public risk awareness Post-Charlie Hebdo","authors":"Or Elroy , Gordon Woo , Nadejda Komendantova , Abraham Yosipof","doi":"10.1016/j.chbr.2024.100580","DOIUrl":"10.1016/j.chbr.2024.100580","url":null,"abstract":"<div><div>This study investigates the dynamics of public risk awareness in the aftermath of the Charlie Hebdo terrorist attack on January 7, 2015, through a dual-focus analysis of Wikipedia traffic and Google Trends data. Analyzing the temporal patterns of Wikipedia page views in both English and French, sheds light on how significant media events, anniversaries, and related incidents influence public engagement with terrorism-related content over time. The study highlights the critical role of linguistic and cultural factors in shaping these patterns, revealing that Francophone regions, particularly France and its former colonies, exhibit a more sustained and consistent interest in the Charlie Hebdo event compared to Anglophone regions. The heightened engagement in French-speaking areas suggests that cultural and historical ties influence public risk perception and awareness. Complementing this analysis with geographic insights from Google Trends, the study provides a more comprehensive understanding of how people in different regions perceive and respond to terrorism. The findings underscore the importance of digital platforms in gauging public awareness and suggest practical implications for designing targeted risk communication strategies. These strategies could be timed to coincide with moments of heightened public interest, such as anniversaries, to enhance public resilience and preparedness in the face of terrorism. This study contributes to the broader understanding of digital media's role in shaping and sustaining public risk awareness in a global context.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100580"},"PeriodicalIF":4.9,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146934","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}

引用次数: 0

Social networking site use, sexual orientation, and associations with mental health: Findings from the Canadian Longitudinal Study on Aging

IF 4.9

Computers in human behavior reports Pub Date : 2024-12-26 DOI: 10.1016/j.chbr.2024.100541

Alexandra Grady, Arne Stinchcombe

引用次数: 0

Exploring patterns of online sexual experiences and associated factors in 7,901 high school students in Hong Kong: A latent class analysis

IF 4.9

Computers in human behavior reports Pub Date : 2024-12-22 DOI: 10.1016/j.chbr.2024.100574

Ted C.T. Fong , Edmond P.H. Choi , Daniel Y.T. Fong , Man Chun Kung , Mona W.C. Lam , Antoinette M. Lee , William C.W. Wong , Tai Hing Lam , Paul S.F. Yip

{"title":"Exploring patterns of online sexual experiences and associated factors in 7,901 high school students in Hong Kong: A latent class analysis","authors":"Ted C.T. Fong , Edmond P.H. Choi , Daniel Y.T. Fong , Man Chun Kung , Mona W.C. Lam , Antoinette M. Lee , William C.W. Wong , Tai Hing Lam , Paul S.F. Yip","doi":"10.1016/j.chbr.2024.100574","DOIUrl":"10.1016/j.chbr.2024.100574","url":null,"abstract":"<div><div>Online sexual experiences in adolescents are increasing but the patterns of use and associated factors remain unclear. This study investigated the latent heterogeneity of online sexual experiences in a large sample of 7901 adolescents (4362 males and 3539 females; mean age = 14.6 years, SD = 1.5). Participants were recruited from 25 high schools in Hong Kong via the Youth Sexuality Study in 2021. The participants completed an anonymous self-report questionnaire on online sexual experiences, family characteristics, psychological distress, and risk behaviors. Latent class analysis was conducted on 11 items of online sexual experiences in male and female adolescents separately. The latent classes were substantively checked with family, psychological, and behavioral factors via the BCH method and multinomial logistic regression. Both males and females supported three latent classes of online sexual experiences: abstinent class (male: 37.3%, female: 41.8%), normative class (male: 48.4%, female: 47.4%), and active class (male: 14.3%, female: 10.8%) with minimal, occasional, and frequent online sexual experiences, respectively. Males showed significantly higher prevalence of online sexual experiences and substance use; while females showed significantly higher levels of psychological distress and suicidal attempt. The active class was significantly associated with poorer family relationship, more digital screen time, higher psychological distress, and higher rates of sexual harassment by others, substance use, and suicide attempt than the other two classes. This study provides the first results on latent heterogeneity of online sexual experiences in Hong Kong adolescents and elucidated the associated factors across family, psychological, and behavioral domains.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100574"},"PeriodicalIF":4.9,"publicationDate":"2024-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143147622","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}

引用次数: 0

Mapping the multidimensional trend of generative AI: A bibliometric analysis and qualitative thematic review

IF 4.9

Computers in human behavior reports Pub Date : 2024-12-21 DOI: 10.1016/j.chbr.2024.100576

Dragoș M. Obreja , Răzvan Rughiniș , Daniel Rosner

{"title":"Mapping the multidimensional trend of generative AI: A bibliometric analysis and qualitative thematic review","authors":"Dragoș M. Obreja , Răzvan Rughiniș , Daniel Rosner","doi":"10.1016/j.chbr.2024.100576","DOIUrl":"10.1016/j.chbr.2024.100576","url":null,"abstract":"<div><div>Generative artificial intelligence (AI) represents an increasingly popular topic that is visible even in most research areas within the social sciences and humanities fields. However, little attention has been paid to the knowledge dimensions reflecting the potential macro-social implications of generative technologies. This study utilizes a two-fold methodology, consisting of a bibliometric analysis of articles published in the last decade (N = 484) and a subsequent qualitative thematic review of the most influential articles in each research area (N = 246). The objective is to investigate the main conceptual dimensions associated with generative AI in the social sciences. Applying a thematic analysis framework, we notice that the most popular dimensions are technological, ethical, and social. These dimensions primarily focus on investigating the implications of the generative use of AI on employees in professional sectors as well as on students and teachers in the educational environment. Moreover, the political dimension reflects macro-social consequences on governance and legal components related to ensuring social protection for professions that risk becoming obsolete due to the widespread adoption of ChatGPT-type technologies. Overall, our research emphasizes concrete scholarly tensions through which generative AI-based technologies are predominantly encouraged in the educational and organizational sectors, but the potential risks associated with copyright infringement and job loss might constitute important drivers of social change. We also notice that a Foucauldian power/knowledge framework would prove useful in understanding the underdiscussed effects of generative AI on the societal/macro level.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100576"},"PeriodicalIF":4.9,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143147621","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}

引用次数: 0

Does digital grabbing boost affectivity in less empathic users? An interactive approach to affective laterality: Empathy, hand dominance, and action-context shape pleasantness experience

IF 4.9

Computers in human behavior reports Pub Date : 2024-12-20 DOI: 10.1016/j.chbr.2024.100568

Sergio C. Torres

{"title":"Does digital grabbing boost affectivity in less empathic users? An interactive approach to affective laterality: Empathy, hand dominance, and action-context shape pleasantness experience","authors":"Sergio C. Torres","doi":"10.1016/j.chbr.2024.100568","DOIUrl":"10.1016/j.chbr.2024.100568","url":null,"abstract":"<div><div>This study investigates the interplay between dispositional empathy and emotional processing during embodied digital interactions. It builds upon the Spatial Affective Interaction (SAI) framework, which integrates neurobehavioral and cognitive perspectives on affective laterality, affective spatialization, and hand-proximity effects. The research particularly focuses on how lateralized manual interactions with emotional images (“emotional grabbing”) affect users’ pleasantness experiences. A sample of 240 right-handed participants used either their dominant right hand or non-dominant left hand to engage with 40 emotional images (20 pleasant and 20 unpleasant) using ipsilateral (same hand-side) or contralateral (opposite hand-side) interactions in a touchscreen environment. Key findings reveal asymmetries in pleasantness experiences that depend on hand dominance, ipsilateral interactions, and empathy levels. Specifically, participants reporting lower empathy associated increased pleasantness after using the dominant right hand to interact with right-positioned pleasant images. Conversely, interactions with left-positioned unpleasant images using the non-dominant left hand were associated with a heightened unpleasantness among low-empathy participants, with the opposite pattern observed in high-empathy individuals. These findings suggest that “emotional grabbing” may enhance sensitivity to emotional content in less empathic individuals, possibly by compensating an impaired activation of the action-observation network (AON), which integrates sensorimotor and empathy processes. The study underscores the relevance of considering hand dominance, emotional valence, and empathy in the future design of embodied digital interactions, to enhance emotional experiences of individuals with explicit empathy deficits.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100568"},"PeriodicalIF":4.9,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143147619","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}

引用次数: 0

Does AI adoption redefine financial reporting accuracy, auditing efficiency, and information asymmetry? An integrated model of TOE-TAM-RDT and big data governance

IF 4.9

Computers in human behavior reports Pub Date : 2024-12-19 DOI: 10.1016/j.chbr.2024.100572

Saeed Awadh Bin-Nashwan , Jackie Zhanbiao Li , HaiChang Jiang , Anas Rasheed Bajary , Muhammad M. Ma'aji

{"title":"Does AI adoption redefine financial reporting accuracy, auditing efficiency, and information asymmetry? An integrated model of TOE-TAM-RDT and big data governance","authors":"Saeed Awadh Bin-Nashwan , Jackie Zhanbiao Li , HaiChang Jiang , Anas Rasheed Bajary , Muhammad M. Ma'aji","doi":"10.1016/j.chbr.2024.100572","DOIUrl":"10.1016/j.chbr.2024.100572","url":null,"abstract":"<div><div>Accounting and auditing firms (AAFs) are experiencing a paradigm shift with the integration of artificial intelligence (AI), which has the potential to revolutionise important areas like fostering financial reporting accuracy, auditing efficiency, and diminishing information asymmetry. Yet, the effectiveness of AI adoption in achieving this goal is not guaranteed. Hence, this study aims to empirically explore what shapes AI adoption among AAFs, and what its potential role is in financial reporting accuracy, auditing efficiency, and information asymmetry. By applying a validated model of TOE-TAM-RDT and analysing using PLS-SEM, we found that AI adoption was shaped by competitive pressure, vendor ecosystem, top management support, relative advantage, AI readiness, and innovation climate. The adoption of AI-driven systems among AAFs exerted a positive impact on financial reporting accuracy, and auditing efficiency, while a negative impact on information asymmetry. Results further reveal a significant moderating effect of big data governance, demonstrating that proper management, quality, and ethical use of data within AAFs can amplify AI adoption benefits, boosting financial reporting accuracy, auditing efficiency, and mitigating information asymmetries between AAFs and stakeholders. These outcomes not only advance scholarly conversations on AI adoption in the financial and accounting landscape but also deliver actionable strategies for stakeholders to maximise AAFs’ benefits from this emerging revolutionary technology.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100572"},"PeriodicalIF":4.9,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143147000","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}

引用次数: 0

Public sentiment and engagement on cybersecurity: Insights from Reddit discussions

IF 4.9

Computers in human behavior reports Pub Date : 2024-12-19 DOI: 10.1016/j.chbr.2024.100573

Krishnashree Achuthan , Sugandh Khobragade , Robin Kowalski

{"title":"Public sentiment and engagement on cybersecurity: Insights from Reddit discussions","authors":"Krishnashree Achuthan , Sugandh Khobragade , Robin Kowalski","doi":"10.1016/j.chbr.2024.100573","DOIUrl":"10.1016/j.chbr.2024.100573","url":null,"abstract":"<div><div>Cyber insecurity is recognized amongst the top severe global risks by the World Economic Forum.This study addresses a significant gap in our understanding of the social dynamics of public perception and online discourse related to cybersecurity, with a particular focus on how social media platforms shape and reflect public engagement. We employ sentiment analysis, topic modeling, and zero-shot text classification to analyze 33,893 news and user posts, along with the corresponding 194,591 news and user comments, across five subreddit discussion forums between 2012 and 2022. Through the lens of the Social Amplification of Risk Framework (SARF) and Protection Motivation Theory (PMT), we uncover patterns in topic engagement, emotional responses, community support, and the interplay of sentiment and comment types. Our findings reveal a complex landscape of public engagement with cybersecurity news, characterized by high interest in government surveillance, cyber warfare, and software vulnerabilities. Comments vary across topics, with technical advice dominating discussions, while skepticism and concern are prevalent in privacy-related areas. Community reactions tend towards critical engagement, with comments expressing concern, disappointment, and anger receiving high upvotes. Post sentiment weakly correlates with comment types, where more negative posts elicit increased expressions of concern, anger, and skepticism. The community's dynamic engagement with cybersecurity issues underscores the need for tailored communication strategies that acknowledge both emotional responses and the desire for practical solutions. This study contributes to an understanding of public engagement with cybersecurity issues on social media while offering insights for stakeholders seeking to foster informed, resilient, and engaged online communities.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100573"},"PeriodicalIF":4.9,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143147625","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}

引用次数: 0