Computers in Human Behavior最新文献_第8页

Impact of the propensity to cross-cultural adaptation on online viewers' attitudes toward ethnic minority group cultural streaming: An extension of the theory of planned behaviour 跨文化适应倾向对在线观众对少数民族文化流媒体态度的影响：计划行为理论的延伸

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-07-08 DOI: 10.1016/j.chb.2024.108365

Lifu Li

{"title":"Impact of the propensity to cross-cultural adaptation on online viewers' attitudes toward ethnic minority group cultural streaming: An extension of the theory of planned behaviour","authors":"Lifu Li","doi":"10.1016/j.chb.2024.108365","DOIUrl":"https://doi.org/10.1016/j.chb.2024.108365","url":null,"abstract":"<div><p>Although more and more ethnic minority group (EMG) users are willing to present cultural content on live streaming platforms and advertise cultural products, the influence of their cultural content is still weak compared to mainstream culture. To narrow the research gap, it is essential for the current study to analyse online viewers' intention to watch EMGs' cultural content. This paper extends the Theory of Planned Behaviour (TPB) model based on the cross-cultural adaptation theory. It adds the propensity to cross-cultural adaptation factor and cross-cultural adaptation factor, aiming to clearly explain online viewers' psychological changes. The data analysis based on the partial least squares path modelling and variance-based structural equation modelling (PLS- SEM) supports that the propensity to cross-cultural adaptation positively affects online viewers' cross-cultural adaptation. Meanwhile, the cross-cultural adaptation will positively influence online viewers' attitudes towards EMG cultural streaming, motivate their watching intention, and drive their final behavioural responses. More findings are uncovered via the importance-performance map analysis (IPMA), and the cross-cultural adaptation factor has significantly high performance and importance for online viewers’ watching intention.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141582089","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}

引用次数: 0

Consuming fitspiration content on Instagram as a risk factor for self-objectification and depression symptoms among sexual minority individuals: Exploring the intersection of gender and sexual orientation Instagram上的 "fitpiration "内容是导致性少数群体自我矮化和抑郁症状的风险因素：探索性别与性取向的交集

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-07-08 DOI: 10.1016/j.chb.2024.108363

{"title":"Consuming fitspiration content on Instagram as a risk factor for self-objectification and depression symptoms among sexual minority individuals: Exploring the intersection of gender and sexual orientation","authors":"","doi":"10.1016/j.chb.2024.108363","DOIUrl":"10.1016/j.chb.2024.108363","url":null,"abstract":"<div><p>The image-centric nature of Instagram has contributed to the rise of a prominent social media trend known as “fitspiration.” Previous research has shown that exposure to fitspiration content on Instagram can have detrimental effects on body image and mental health, particularly among young heterosexual women. Although sexual minority individuals may similarly be subjected to the objectifying gaze, there is a dearth of research regarding how they perceive and respond to fitspiration content. This study investigates the effects of consuming fitspiration content on Instagram on self-objectification and depression symptoms among sexual minority individuals and explores how gender and sexual orientation interact to shape their body image experiences. A total of 551 sexual minority individuals participated in the study. The results showed that viewing fitspiration content, but not the general use of Instagram, was positively associated with body surveillance and body shame. The association between fitspiration content consumption and depression symptoms was mediated by body surveillance and body shame. The study shed light on the influence of gender and sexual orientation, revealing significant mediation effects among gay men, plurisexual men, and plurisexual women; however, these findings were not observed among lesbian women. Given the substantial burden associated with fitspiration use, social media developers, content creators, and clinicians have a vital role to play in cultivating a body-positive online environment and protecting sexual minority individuals from internalizing objectifying content on social media.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141714881","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}

引用次数: 0

Unpacking the role of motivation and enjoyment in AI-mediated informal digital learning of English (AI-IDLE): A mixed-method investigation in the Chinese context 解读动机和乐趣在以人工智能为媒介的非正式数字化英语学习（AI-IDLE）中的作用：中国背景下的混合方法调查

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-07-06 DOI: 10.1016/j.chb.2024.108362

Guangxiang Leon Liu , Ron Darvin , Chaojun Ma

{"title":"Unpacking the role of motivation and enjoyment in AI-mediated informal digital learning of English (AI-IDLE): A mixed-method investigation in the Chinese context","authors":"Guangxiang Leon Liu , Ron Darvin , Chaojun Ma","doi":"10.1016/j.chb.2024.108362","DOIUrl":"https://doi.org/10.1016/j.chb.2024.108362","url":null,"abstract":"<div><p>This paper examines how Chinese university students negotiate their second language (L2) motivational dynamics, including their ideal and ought-to L2 selves, to participate in informal digital learning of English (IDLE) mediated by generative artificial intelligence (AI). It demonstrates the extent to which enjoyment, the most observable positive emotion in L2 learning, influences their involvement in AI-mediated IDLE (AI-IDLE) activities. Employing an explanatory sequential mixed-method design, this study surveyed 690 Chinese undergraduate students and conducted 12 post-survey interviews. Using a structural equation modeling approach, the quantitative analysis reveals that participants’ ideal L2 self can significantly predict both their sense of enjoyment and AI-IDLE, while the ought-to L2 self is only able to directly predict enjoyment. The quantitative results also demonstrate that enjoyment can partially mediate the relationship between the ideal L2 self and AI-IDLE and simultaneously fully channel the indirect impact of the ought-to L2 self on AI-IDLE. Supplementing these quantitative findings, the interview data provides a nuanced understanding of how motivation and enjoyment shift and interact with learning contexts as participants engage in AI-IDLE. Drawing on these quantitative and qualitative insights, this study identifies implications for pedagogy, particularly in terms of motivating Chinese university students to engage in IDLE while maintaining emotional well-being in the age of generative AI.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141605884","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}

引用次数: 0

Evaluating educational apps for preschoolers: Differences and agreements between the assessments of experts, parents, and their children 评估学龄前儿童教育应用程序：专家、家长及其子女的评估之间的差异与共识

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-07-06 DOI: 10.1016/j.chb.2024.108361

Astrid Wirth , Anna Mues , Efsun Birtwistle , Frank Niklas

{"title":"Evaluating educational apps for preschoolers: Differences and agreements between the assessments of experts, parents, and their children","authors":"Astrid Wirth , Anna Mues , Efsun Birtwistle , Frank Niklas","doi":"10.1016/j.chb.2024.108361","DOIUrl":"https://doi.org/10.1016/j.chb.2024.108361","url":null,"abstract":"<div><p>Educational apps offer a wide range of opportunities to foster children's early competency development during preschool age. However, due to inconsistent evaluation criteria, comparing the educational value of different apps is challenging, and conclusive data on children's and parent's preferences in choosing educational apps for preschoolers is lacking. In the present study, we analyse differences and agreements between the assessments of educational apps by scientific experts, parents, and their children, and compare their assessments with children's actual usage times. In sum, <em>N</em> = 400 children aged between 51 and 75 months (<em>M</em> = 60.9; <em>SD</em> = 4.5) obtained tablets to use at home for 10 consecutive months, with educational apps specifically developed to foster preschool children's cognitive, mathematical, and linguistic competences. Scientific experts rated children's apps according to the evaluation criteria by Hirsh-Pasek et al. (2015), while parents and children rated the respective apps with school grades, data was assessed at t1 (after 5 months) and t2 (after 10 months). Results show that children are less likely to play with apps with a higher educational value and rate them lower compared to ratings by scientific experts. Significant associations were found between the app ratings of parents and their children. With these findings, the present study provides insights into children's app preferences und usage behaviour especially in the context of family environment. The results highlight the importance of thoroughly researching and considering the perspectives of both parents and children to design apps that are enjoyable and played for extended periods.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0747563224002292/pdfft?md5=6a88950cb393603ab5acbc318a6b40b4&pid=1-s2.0-S0747563224002292-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141582091","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}

引用次数: 0

Real-time incentivizing survey completion with game-based rewards in experience sampling research may increase data quantity, but reduces data quality 在经验抽样研究中，利用游戏奖励实时激励调查完成，可能会增加数据数量，但会降低数据质量

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-07-02 DOI: 10.1016/j.chb.2024.108360

Egon Dejonckheere , Stijn Verdonck , Joren Andries , Natalie Röhrig , Maarten Piot , Ghijs Kilani , Merijn Mestdagh

{"title":"Real-time incentivizing survey completion with game-based rewards in experience sampling research may increase data quantity, but reduces data quality","authors":"Egon Dejonckheere , Stijn Verdonck , Joren Andries , Natalie Röhrig , Maarten Piot , Ghijs Kilani , Merijn Mestdagh","doi":"10.1016/j.chb.2024.108360","DOIUrl":"https://doi.org/10.1016/j.chb.2024.108360","url":null,"abstract":"<div><p>Experience sampling methodology (ESM) requires participants to repeatedly rate various psychological states in everyday life. This can be burdensome, leading to frequently skipped or missed assessments that undermine the ecological validity of collected data. Financially compensating participants may counter suboptimal response rates, but monetary rewards are not always feasible or ethical, and are unfitting to counter non-response in the moment. Here, we investigated the potential of a gamified momentary reward strategy to encourage survey completion. In a between-person experiment, we randomly assigned 193 participants to take part in a standard (i.e., no momentary incentives) or gamified ESM protocol. Upon completing a survey in the gamified condition, participants immediately received some virtual coins to purchase various in-app rewards (fun facts or personalized graphs). Gamifying momentary survey completion resulted in higher response rates and shorter latencies, but only for participants who frequently bought rewards in the coin store. Paradoxically, momentary gamification also caused participants’ responses to be slightly more unreliable. Completion times did not differ. The reward schemes of future ESM studies should focus on both response quantity and quality. To further explore the potential of momentary incentive strategies, we provide open access to customizable gamification building blocks within our ESM platform, m-Path.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141541553","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}

引用次数: 0

Understanding adoption intention of virtual medical consultation systems: Perceptions of ChatGPT and satisfaction with doctors 了解虚拟医疗咨询系统的采用意向：对 ChatGPT 的看法和对医生的满意度

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-07-01 DOI: 10.1016/j.chb.2024.108359

Di Zhang, Xiaoman Zhao

{"title":"Understanding adoption intention of virtual medical consultation systems: Perceptions of ChatGPT and satisfaction with doctors","authors":"Di Zhang, Xiaoman Zhao","doi":"10.1016/j.chb.2024.108359","DOIUrl":"https://doi.org/10.1016/j.chb.2024.108359","url":null,"abstract":"<div><p>This study examined the impact of perceptions of ChatGPT, the leading AI chatbot since November 2022, on the acceptance and perceived efficacy of future GPT-powered virtual medical consultation systems (GPT-VMCSs), as well as their influence on the propensity to adopt such systems amid debates over their suitability for medical consultations. By utilizing the technology acceptance model (TAM), this study differentiated between perceptions of ChatGPT and GPT-VMCS by assessing how these perceptions, along with doctor satisfaction, resistance, and ChatGPT usage, affect adoption intentions. Among the 2150 participants from 21 countries, 1038 who had used ChatGPT or observed its use were selected for hypothesis testing. The results indicated that the perceived usefulness (PU) of the GPT-VMCS was the strongest predictor of adoption intentions, with the perceived ease of use (PEOU) also playing a critical role. In contrast, resistance, which was positively influenced by doctor satisfaction, was negatively associated with adoption intentions. The quality of ChatGPT responses was positively correlated with GPT-VMCS PU, although direct usage of ChatGPT did not significantly affect adoption intentions. The study concludes with a discussion of both theoretical and practical implications.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141541925","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}

引用次数: 0

Beyond the story: Understanding the social media effects of celebrity advocacy on mental health stigma reduction 故事之外：了解名人宣传对减少心理健康污名化的社交媒体影响

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-06-28 DOI: 10.1016/j.chb.2024.108356

Hye Min Kim

{"title":"Beyond the story: Understanding the social media effects of celebrity advocacy on mental health stigma reduction","authors":"Hye Min Kim","doi":"10.1016/j.chb.2024.108356","DOIUrl":"https://doi.org/10.1016/j.chb.2024.108356","url":null,"abstract":"<div><p>Anti-stigma campaigns increasingly leverage personal narratives of celebrities or public figures through social media, yet little is known about what makes social media an effective storytelling tool. This study empirically tests their mental health stories in different media formats using a multiple message design. Through a pilot study, four celebrities were selected: Kristen Bell, Mariah Carey, Dwayne Johnson, and Kevin Love, who have disclosed their mental health struggles. An online between-subjects experiment was conducted with 389 participants who were randomly assigned to one of three conditions (social media vs. online article vs. no-message control). Results showed that participants who read the stories in a social media format felt a greater social presence, as if they were engaging in a real conversation with the celebrity, compared to those who read the same stories in an online article format. This, in turn, facilitated a stronger sense of transportation into the story, ultimately leading to persuasive outcomes such as positive attitudes toward help-seeking and increased intentions to seek both professional and informal help. Further analyses revealed that the effects of social presence and transportation on attitudes toward help-seeking were more pronounced among those with greater parasocial intimacy with the celebrity. The findings provide empirical support for the effectiveness of using social media as a storytelling channel for anti-stigma campaigns.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141482057","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}

引用次数: 0

Problematic online behaviors constitute related yet distinct conditions: A cross-sectional study 有问题的网络行为是既相关又不同的情况：横断面研究

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-06-28 DOI: 10.1016/j.chb.2024.108358

Stéphanie Baggio , Maurane Bosson , David Berle , Vladan Starcevic , Olivier Simon , Joël Billieux

{"title":"Problematic online behaviors constitute related yet distinct conditions: A cross-sectional study","authors":"Stéphanie Baggio , Maurane Bosson , David Berle , Vladan Starcevic , Olivier Simon , Joël Billieux","doi":"10.1016/j.chb.2024.108358","DOIUrl":"https://doi.org/10.1016/j.chb.2024.108358","url":null,"abstract":"<div><p>This study tested the Spectrum hypothesis of problematic online behaviors (POBs) which posits that POBs (e.g., online gaming, gambling, sexual activities, and social networking) constitute distinct, yet related constructs. To overcome the limitations of previous research, we recruited a representative sample of young men and capitalized on a common assessment approach (Fifth version of the Diagnostic and Statistical Manual of Mental Disorders [DSM-5] and Eleventh version of the International Classification of Diseases [ICD-11] frameworks). The study was a single-center, observational study with a cross-sectional design (n = 2620). All targeted behaviors were assessed using the proposed criteria of the DSM-5 and the ICD-11. The correlation analysis showed that online activities were weakly correlated (0.01 ≤ r ≤ 0.19), suggesting that when people engage in one specific online activity to a problematic extent, they do not necessarily engage in several online activities in an excessive way. Using a network analysis, we showed that various POBs might reflect distinct constructs. The community detection analysis identified four communities of items corresponding to each POB. Our robust methodology and sampling strategy suggests that the construct of “Internet addiction” could be misleading. This epistemological shift might be necessary to develop adequate clinical care and public health measures to address POBs.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0747563224002267/pdfft?md5=31876ef6e6daeddcc785560955927d41&pid=1-s2.0-S0747563224002267-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141539739","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}

引用次数: 0

The effect of novel linguistic-based review features on review helpfulness through information ecosystem and ELM theories: Heterogeneity analysis across platforms 通过信息生态系统和ELM理论研究基于语言的新评论特征对评论有用性的影响：跨平台的异质性分析

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-06-28 DOI: 10.1016/j.chb.2024.108357

Sun Qiao, Wu Feng

{"title":"The effect of novel linguistic-based review features on review helpfulness through information ecosystem and ELM theories: Heterogeneity analysis across platforms","authors":"Sun Qiao, Wu Feng","doi":"10.1016/j.chb.2024.108357","DOIUrl":"https://doi.org/10.1016/j.chb.2024.108357","url":null,"abstract":"<div><p>Although online review helpfulness has been extensively discussed, examining it at the platform level can still yield new insights. Drawing on ELM and information ecosystem theories, this study identifies heterogeneity in review features and their impact on helpfulness across platforms through a multimethod analysis of 82,130 reviews on JD and TikTok. Econometric analysis revealed that reviews on mature platforms contain richer objective content, more diverse language styles, and stronger semantic associations. In terms of content, objective content diversity positively affects helpfulness on emerging platforms, while it has the opposite effect on mature platforms. Negative sentiment significantly affects helpfulness only on mature platforms, and positive sentiment has no significant effect on either platform. In terms of language style, the analysis indicated that language style diversity positively impacts the helpfulness of emerging platforms. However, four specific styles (figurative, comparative, interrogative and exaggerative) negatively affect helpfulness on emerging platforms, with only comparative style having a significant negative effect on mature platforms. In terms of semantic association, the results show a more substantial positive impact on emerging platforms. Machine learning-based performance analysis corroborates the core findings of the econometric analysis. This study provides novel findings to the existing literature and provides managerial implications for different platforms.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141582090","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}

引用次数: 0

Trust and reliance on AI — An experimental study on the extent and costs of overreliance on AI 对人工智能的信任和依赖--关于过度依赖人工智能的程度和代价的实验研究

IF 9 1区心理学

Computers in Human Behavior Pub Date : 2024-06-25 DOI: 10.1016/j.chb.2024.108352

{"title":"Trust and reliance on AI — An experimental study on the extent and costs of overreliance on AI","authors":"","doi":"10.1016/j.chb.2024.108352","DOIUrl":"10.1016/j.chb.2024.108352","url":null,"abstract":"<div><p>Decision-making is undergoing rapid changes due to the introduction of artificial intelligence (AI), as AI recommender systems can help mitigate human flaws and increase decision accuracy and efficiency. However, AI can also commit errors or suffer from algorithmic bias. Hence, blind trust in technologies carries risks, as users may follow detrimental advice resulting in undesired consequences. Building upon research on algorithm appreciation and trust in AI, the current study investigates whether users who receive AI advice in an uncertain situation overrely on this advice — to their own detriment and that of other parties. In a domain-independent, incentivized, and interactive behavioral experiment, we find that the mere knowledge of advice being generated by an AI causes people to overrely on it, that is, to follow AI advice even when it contradicts available contextual information as well as their own assessment. Frequently, this overreliance leads not only to inefficient outcomes for the advisee, but also to undesired effects regarding third parties. The results call into question how AI is being used in assisted decision making, emphasizing the importance of AI literacy and effective trust calibration for productive deployment of such systems.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0747563224002206/pdfft?md5=299a70f444225bc45709fbd6ca8a93f1&pid=1-s2.0-S0747563224002206-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141937391","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}

引用次数: 0