Computers in Human Behavior最新文献

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Sexism in esports: How male and female players evaluate each others’ performance and agency 电子竞技中的性别歧视:男女玩家如何评价对方的表现和代理权
IF 9 1区 心理学
Computers in Human Behavior Pub Date : 2024-08-22 DOI: 10.1016/j.chb.2024.108415
{"title":"Sexism in esports: How male and female players evaluate each others’ performance and agency","authors":"","doi":"10.1016/j.chb.2024.108415","DOIUrl":"10.1016/j.chb.2024.108415","url":null,"abstract":"<div><p>While equality and inclusivity are promoted in the realm of esports, most gamer communities remain male-dominated, which may give rise to prejudices against female players and their skill. In this study, we conducted two experiments where we measured how participants evaluate players’ performance and agency attributions. Using two distinct experimental manipulations—one utilizing videos of players playing (n = 312) and the other using narrative vignettes (n = 338)—we found that males are rated mostly based on their gaming outcomes, while females are more often judged based on pre-existing (prejudiced) preconceptions. These results contribute to the literature on gaming-related stereotypes by enhancing the understanding of societal prejudices in the evaluation of players’ skills.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0747563224002838/pdfft?md5=b5597662ec3860757472779f7ccdfdfe&pid=1-s2.0-S0747563224002838-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142076841","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
Hidden desires, echoed distress: Dissecting Nigeria’s sexting landscape and its ties to depression 隐藏的欲望,回响的痛苦:剖析尼日利亚的色情短信环境及其与抑郁症的关系
IF 9 1区 心理学
Computers in Human Behavior Pub Date : 2024-08-22 DOI: 10.1016/j.chb.2024.108420
{"title":"Hidden desires, echoed distress: Dissecting Nigeria’s sexting landscape and its ties to depression","authors":"","doi":"10.1016/j.chb.2024.108420","DOIUrl":"10.1016/j.chb.2024.108420","url":null,"abstract":"<div><p>In a broader context of increasing incidences of sexting-related backlashes resulting in victims’ depression and, at times, suicide in Nigeria, this study examines the prevalence, trends, and mental health implications of sexting among 700 Nigerian social media users. With the help of the Patient Health Questionnaire-9 and the Sexting Behaviors and Motives Questionnaire, we found that 58% of respondents engaged in sexting, a high percentage given the cultural conservatism of Nigeria. In addition, more than 41% admitted forwarding or having another forward sexted images or messages without the victims’ consent, increasing the risk of cyberbullying and subsequent mental health problems. In our study, we found a strong positive relationship between sexting and depression; the effects of sexting on depression differed for men and women: Men sexters exhibited higher depression levels than women. Our analysis, which employed descriptive, regression, and Structural Equation Model (SEM) methodologies, suggests that despite regional cultural disparities, sexting behaviors are surprisingly uniform across Nigeria. This study underscores the urgent need for informed strategies addressing digital privacy, security, and mental well-being in the context of sexting in Nigeria.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142058166","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
User preferences and trust in hypothetical analog, digitalized and AI-based medical consultation scenarios: An online discrete choice survey 用户在假设的模拟、数字化和人工智能医疗咨询场景中的偏好和信任:在线离散选择调查
IF 9 1区 心理学
Computers in Human Behavior Pub Date : 2024-08-22 DOI: 10.1016/j.chb.2024.108419
{"title":"User preferences and trust in hypothetical analog, digitalized and AI-based medical consultation scenarios: An online discrete choice survey","authors":"","doi":"10.1016/j.chb.2024.108419","DOIUrl":"10.1016/j.chb.2024.108419","url":null,"abstract":"<div><p>Current developments in telemedicine and artificial intelligence (AI) are significantly impacting doctor-patient interactions. This study examined the interacting role of individual traits with different levels of digitalization in participants' user preferences and trust within hypothetical medical scenarios. Specifically, preferences and trust levels towards various digitalized and analog formats, such as face-to-face interactions, video calls, written exchanges with a doctor or chatbot, or conversations with AI avatars were compared using standard scenarios of varying health risks and potentially embarrassing content.</p><p>In an online discrete choice experiment, 1009 participants rated hypothetical scenarios of varying medical concerns regarding their preferred conversation format and trust. User preference (<em>n</em> = 2018 observations) and trust (<em>n</em> = 9880 observations) were predicted using two multilevel models.</p><p>Higher perceived efficiency of digital conversation formats predicted user preference for digitalized formats. However, users’ preference for digitalized formats was generally lower compared to face-to-face interactions, especially when receiving bad news. The level of digitalization was negatively associated with trust, which was lower for consultations that involved receiving bad news or discussing potentially embarrassing content compared to good news. Trust ratings varied depending on the conversation topic.</p><p>When comparing analog and digitalized medical consultation scenarios, digitalized medical consultations are not equally suited for every medical consultation. Participants preferred personal contact, particularly when bad news needed to be communicated. Additionally, trust in the doctor significantly varies depending on the topic of conversation.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0747563224002875/pdfft?md5=8cf83cab566ddf9d5ccbb7f36fbd45ac&pid=1-s2.0-S0747563224002875-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142097131","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 decision-making by citizens: Evaluating the effects of rule-driven and learning-driven automated responders on citizen-initiated contact 公民决策:评估规则驱动型和学习驱动型自动应答器对公民主动联系的影响
IF 9 1区 心理学
Computers in Human Behavior Pub Date : 2024-08-20 DOI: 10.1016/j.chb.2024.108413
{"title":"The decision-making by citizens: Evaluating the effects of rule-driven and learning-driven automated responders on citizen-initiated contact","authors":"","doi":"10.1016/j.chb.2024.108413","DOIUrl":"10.1016/j.chb.2024.108413","url":null,"abstract":"<div><p>While many studies have investigated the impact of artificial intelligence (AI) deployment in the public sector on government-citizen interactions, findings remain controversial due to the technical complexity and contextual diversity. This study distinguishes between rule-driven and learning-driven AI and explores their impact as automated respondents on citizen-initiated contact, an important scenario for public participation with initiative. Based on a conjoint experiment with 763 participations (4578 observations), this study suggests that AI deployments enormously reduce the likelihood of citizen-initiated contact compared to human response, with learning-driven AI having a higher negative effect than rule-driven AI. In addition, the causal effects of respondent image, contact channel, contact purpose, and matter attributes on citizen-initiated contact, as well as their moderating effects, are explored. These findings make theoretical implications and calls for public participation in the roaring AI deployment in the public sector.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142049909","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
The intersection of “real” and “reel”: An investigation of K-pop idol dual self-presentation, paid advertisements, and fan engagement 真实 "与 "卷轴 "的交集:K-pop 偶像的双重自我展示、付费广告和粉丝参与调查
IF 9 1区 心理学
Computers in Human Behavior Pub Date : 2024-08-20 DOI: 10.1016/j.chb.2024.108414
{"title":"The intersection of “real” and “reel”: An investigation of K-pop idol dual self-presentation, paid advertisements, and fan engagement","authors":"","doi":"10.1016/j.chb.2024.108414","DOIUrl":"10.1016/j.chb.2024.108414","url":null,"abstract":"<div><p>K-pop idols meticulously manage their public image on social media by blending aspects of professional and personal self-presentation, occasionally incorporating paid advertisements. This research aims to investigate these strategies on idols’ personal Instagram accounts and their impacts on fans. Two studies were conducted. In Study 1, a content analysis of the ten most recent Instagram posts from 26 K-pop idols revealed a combination of both self-presentation types with a slightly higher prevalence of personal one. One-fourth of the posts contained paid advertisements, and they were more prevalent in professional self-presentation. Posts featuring personal self-presentation garnered significantly more likes and comments, and so did posts without paid advertisements. Study 2, an online experiment with 240 Korean Instagram users, compared professional and personal self-presentation with and without paid advertisement. The results showed that paid advertisement significantly influenced perceptions of the idol, diminishing perceived authenticity, professionalism, and para-social relationship. In contrast, professional self-presentation heightened only perceived professionalism compared to personal self-presentation. Engagement intentions did not significantly differ between self-presentation types but were lowered by paid advertisement indirectly through reduced perceived para-social relationship. This research highlights the complex dynamics of online self-presentation, fan engagement, and the potential drawbacks of commercialization in K-pop.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142151413","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
The impact of smartphone deprivation on attentional bias in problematic smartphone users: Evidence from behavioral and physiological perspectives 智能手机剥夺对问题智能手机用户注意力偏差的影响:行为学和生理学角度的证据
IF 9 1区 心理学
Computers in Human Behavior Pub Date : 2024-08-18 DOI: 10.1016/j.chb.2024.108412
{"title":"The impact of smartphone deprivation on attentional bias in problematic smartphone users: Evidence from behavioral and physiological perspectives","authors":"","doi":"10.1016/j.chb.2024.108412","DOIUrl":"10.1016/j.chb.2024.108412","url":null,"abstract":"<div><p>This study innovatively applied smartphone deprivation and aimed to assess its behavioral and physiological effects in problematic smartphone users. In Experiment 1, 283 participants completed an investigation related to smartphone use, including 92 participants identified as problematic smartphone users. Based on an average smartphone unlocking interval of 19.67 min, the duration of smartphone deprivation was set to 20 min. After deprivation, the participants exhibited a significant increase in smartphone cravings and a decrease in heart rate. Experiment 2 applied a modified cueing task to explore problematic smartphone users’ attentional bias, in which smartphone-related and neutral pictures were selected as the materials. There were 22 and 23 participants in the smartphone-deprivation and control groups, respectively. In the deprivation group, reaction times (RTs) for smartphone-related pictures were longer than for neutral pictures. In Experiment 3, we incorporated electroencephalography technology to also assess a smartphone turned-off group. There were 16, 21, and 14 participants in smartphone deprivation, smartphone turned-off, and control groups, respectively. In both the smartphone deprivation and smartphone turned-off groups, participants had longer RTs on smartphone-related pictures than on neutral pictures. Furthermore, for participants in the deprivation group, N2 latencies in relation to smartphone-related pictures were earlier than those in relation to neutral pictures, while participants in the turned-off group had larger P3 amplitudes and earlier P3 latencies for invalid cues compared with valid cues.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142040500","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
After opening the black box: Meta-dehumanization matters in algorithm recommendation aversion 打开黑盒之后:算法推荐厌恶中的元非人化问题
IF 9 1区 心理学
Computers in Human Behavior Pub Date : 2024-08-15 DOI: 10.1016/j.chb.2024.108411
{"title":"After opening the black box: Meta-dehumanization matters in algorithm recommendation aversion","authors":"","doi":"10.1016/j.chb.2024.108411","DOIUrl":"10.1016/j.chb.2024.108411","url":null,"abstract":"<div><p>Perceptions of algorithms as opaque, commonly referred to as the black box problem, can make people reluctant to accept a recommendation from an algorithm rather than a human. Interventions that enhance people's subjective understanding of algorithms have been shown to reduce this aversion. However, across four preregistered studies (<em>N</em> = 960), we found that in the online shopping context, after explaining the algorithm recommendation process (versus human recommendation), users felt dehumanized and thus averse to algorithms (Study 1). This effect persisted, regardless of the type of algorithm (i.e., conventional algorithms or large language models; Study 2) or recommended product (i.e., search or experience products; Study 3). Notably, considering large language models (versus conventional algorithms) as the recommendation agent (Study 2) and framing algorithm recommendation as consumer-serving (versus website-serving; Study 4) mitigated algorithm aversion caused by meta-dehumanization. Our findings contribute to ongoing discussions on algorithm transparency, enrich the literature on human–algorithm interaction, and provide practical insights for encouraging algorithm adoption.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142012411","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
Biased search engine autosuggestions against females and immigrants can lead to hiring discrimination: An experimental investigation 搜索引擎对女性和移民的偏见性自动建议会导致招聘歧视:实验调查
IF 9 1区 心理学
Computers in Human Behavior Pub Date : 2024-08-15 DOI: 10.1016/j.chb.2024.108408
{"title":"Biased search engine autosuggestions against females and immigrants can lead to hiring discrimination: An experimental investigation","authors":"","doi":"10.1016/j.chb.2024.108408","DOIUrl":"10.1016/j.chb.2024.108408","url":null,"abstract":"<div><p>This article addresses the effects of biased search engine autosuggestions on hiring discrimination against females and immigrants. In two pre-registered experiments (<em>N</em><sub>1</sub> = 266, <em>N</em><sub>2</sub> = 263), we exposed the participants to biased autosuggestions against these two groups in certain occupations (female lapidaries in Study 1 and immigrant rideshare drivers in Study 2) and measured the hiring preference. We found the biased autosuggestions affected the hiring preference, contingent on stereotypical beliefs of the respective groups: When the group was perceived less warm (e.g., females less warm than males), the biased autosuggestions increased users’ hiring discrimination against the group. In contrast, when the group was perceived warmer (e.g., immigrants warmer than non-immigrant citizens), the biased autosuggestions triggered a reactance response, reducing their hiring discrimination.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142020611","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
To err is human: Bias salience can help overcome resistance to medical AI 人非圣贤孰能无过:偏见突出有助于克服对医疗人工智能的抵触情绪
IF 9 1区 心理学
Computers in Human Behavior Pub Date : 2024-08-14 DOI: 10.1016/j.chb.2024.108402
{"title":"To err is human: Bias salience can help overcome resistance to medical AI","authors":"","doi":"10.1016/j.chb.2024.108402","DOIUrl":"10.1016/j.chb.2024.108402","url":null,"abstract":"<div><p>Prior research has shown that many individuals exhibit an aversion to algorithms and are resistant to the use of artificial intelligence (AI) in healthcare. In the present research, we show that an intervention that increases the <em>salience of bias</em> in decision making—either in general or specifically with respect to gender or age—makes individuals relatively more receptive to medical AI. This increased receptiveness to AI occurs because bias is perceived to be a fundamentally human shortcoming. As such, when the prospect of bias is made salient, perceptions of <em>AI integrity</em>—defined as the perceived fairness and trustworthiness of an AI agent relative to a human counterpart—are enhanced.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142049910","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
Influence of appearance and motion interaction on emotional state attribution to objects: The example of hugging shimeji mushrooms 外观与动作的交互作用对物体情感状态归因的影响:以拥抱姬松茸为例
IF 9 1区 心理学
Computers in Human Behavior Pub Date : 2024-08-13 DOI: 10.1016/j.chb.2024.108383
{"title":"Influence of appearance and motion interaction on emotional state attribution to objects: The example of hugging shimeji mushrooms","authors":"","doi":"10.1016/j.chb.2024.108383","DOIUrl":"10.1016/j.chb.2024.108383","url":null,"abstract":"<div><p>Feeling that a non-human object has emotions (hereinafter referred to <em>as emotional state attribution</em>) is generally known as <em>animacy perception</em>. Previous studies have considered appearance and motion separately as factors that evoke emotional state attribution. Then, if both the degree of human likeness in shape and the presence or absence of motion are considered simultaneously, is there a possibility of strong emotional state attribution even for objects that are not human-like in terms of shape? In this study, we experimentally investigated the influence of human likeness in shape and movements evoking social relations on emotional state attribution, including their interaction, using three types of objects (human figure, shimeji mushroom, and match) that were assumed to differ from humans in terms of shape. We conducted three experiments. In Experiment 1, although the human figure was rated as more human-like than the shimeji mushroom in terms of shape, emotions were attributed more strongly to the shimeji mushroom than to the human figure when accompanied by movements that evoked social relationships. In Experiment 2, a follow-up to Experiment 1 was conducted by eliminating the influence of three-dimensionality, and similar results to Experiment 1 were obtained. In Experiment 3, the influence of face parts was examined, and emotions were attributed more strongly when motion was given to an object without face parts. The results suggest that people may attribute emotions more strongly to faceless objects that resemble humans only to a certain extent in shape when they show movements that evoke social relations.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0747563224002516/pdfft?md5=12777273f8dfea56263835c09da4cda1&pid=1-s2.0-S0747563224002516-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169571","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
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