Computers in human behavior reports最新文献

{"title":"I Don't matter anyway. Will more Instagram change that? Anti-mattering and Instagram Feed vs. stories addiction symptoms: The moderating roles of loneliness and life satisfaction","authors":"Cristian Opariuc-Dan ,&nbsp;Alexandra Maftei ,&nbsp;Ioan-Alex Merlici","doi":"10.1016/j.chbr.2024.100530","DOIUrl":"10.1016/j.chbr.2024.100530","url":null,"abstract":"<div><div>The present study examined the relations between two facets of Instagram addiction symptoms (i.e., Instagram Feed Addiction – IFA and Instagram Stories Addiction – ISA), anti-mattering, loneliness, and life satisfaction. More specifically, we explored the potential moderating roles of loneliness and life satisfaction on the link between anti-mattering and Instagram addiction symptoms. The sample involved 280 Romanian adults aged 18 to 57 (<em>M</em> = 22.58, <em>SD</em> = 4.62, 72.86% females, mostly from rural residential areas. Findings showed that the higher the age, the lower the scores on both IFA and ISA. Male participants reported higher IFA and ISA than females. Anti-mattering was positively associated with loneliness, Instagram feed, and stories addiction symptoms and negatively associated with life satisfaction. A moderated linear regression with residual centering suggested that both loneliness and life satisfaction moderated the links relations between anti-mattering and Instagram feed and stories addiction symptoms. These findings are discussed in relation to their practical implications for preventing and managing digital addictions among adults.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"16 ","pages":"Article 100530"},"PeriodicalIF":4.9,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142707266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of social media reports on nurses’ job satisfaction: A cross-section suvery","authors":"Jackie Zhanbiao Li ,&nbsp;Janet Yuen-Ha Wong ,&nbsp;Doreen Wing-Han Au ,&nbsp;Yiyao Chen ,&nbsp;Yingqian Lao ,&nbsp;Mengmeng Zhang","doi":"10.1016/j.chbr.2024.100529","DOIUrl":"10.1016/j.chbr.2024.100529","url":null,"abstract":"<div><div>This study aims to examine the impact of social media reports (SMR) on nurses' job satisfaction (NJS) and investigate the moderating effect of nurse manager overconfidence (NMO). Focusing on nurses in tertiary public hospitals in Guilin, China, we constructed an analytical dataset using survey data from January to June 2024 and social media comments collected through web scraping technology. Results reveal a significant positive correlation between SMR and NJS, indicating that increases in social media reports are associated with higher job satisfaction among nurses. However, when NMO acts as a moderating factor, the positive effect of SMR on NJS is attenuated, suggesting that overconfidence among nurse managers may diminish the influence of social media feedback. Furthermore, the study employs robustness tests, including the Replace Variables Method, Entropy Balancing Method, Instrumental Variable Method (IV-2LS), and Other Methods, effectively addressing endogeneity issues and confirming the reliability of these findings. This research offers theoretical support for enhancing hospital management and extends the literature on the moderating role of managerial characteristics on job satisfaction, providing practical insights for promoting high-quality hospital development.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"16 ","pages":"Article 100529"},"PeriodicalIF":4.9,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142707265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Surprising gender biases in GPT","authors":"Raluca Alexandra Fulgu,&nbsp;Valerio Capraro","doi":"10.1016/j.chbr.2024.100533","DOIUrl":"10.1016/j.chbr.2024.100533","url":null,"abstract":"<div><div>We present eight experiments exploring gender biases in GPT. Initially, GPT was asked to generate demographics of a potential writer of fourty phrases ostensibly written by elementary school students, twenty containing feminine stereotypes and twenty with masculine stereotypes. Results show a strong bias, with stereotypically masculine sentences attributed to a female more often than vice versa. For example, the sentence “I love playing fotbal! Im practicing with my cosin Michael” was constantly assigned by GPT-3.5 Turbo to a female writer. This phenomenon likely reflects that while initiatives to integrate women in traditionally masculine roles have gained momentum, the reverse movement remains relatively underdeveloped. Subsequent experiments investigate the same issue in high-stakes moral dilemmas. GPT-4 finds it more appropriate to abuse a man to prevent a nuclear apocalypse than to abuse a woman. This bias extends to other forms of violence central to the gender parity debate (abuse), but not to those less central (torture). Moreover, this bias increases in cases of mixed-sex violence for the greater good: GPT-4 agrees with a woman using violence against a man to prevent a nuclear apocalypse but disagrees with a man using violence against a woman for the same purpose. Finally, these biases are implicit, as they do not emerge when GPT-4 is directly asked to rank moral violations. These results highlight the necessity of carefully managing inclusivity efforts to prevent unintended discrimination.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"16 ","pages":"Article 100533"},"PeriodicalIF":4.9,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142707269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IT really matters: Associations of computer hassles and technical support with medically certified sickness absence due to mental health complaints","authors":"Jan Olav Christensen ,&nbsp;Stein Knardahl ,&nbsp;Morten Birkeland Nielsen","doi":"10.1016/j.chbr.2024.100537","DOIUrl":"10.1016/j.chbr.2024.100537","url":null,"abstract":"<div><div>Information and Communication Technology (ICT) at work can cause distress and frustration, commonly labeled ”technostress”. Nevertheless, few, if any, studies have examined the impact of ICT factors on sickness absence due to mental distress. We investigated effects of ”ICT-hassles” - disruption of work due to ICT-problems - on low or medium-level and high level sickness absence due to psychological diagnoses (LMSA-P/HSA-P). We also determined the mitigating influences of ICT-training and ICT-support. We surveyed 8620 workers in Norway, linking responses to official registry data of medically certified absence due to psychological complaints during 12 months following the survey. We used Bayesian multilevel multinomial logistic regression and analyzed ICT-variables at the individual level as well as averaged over employees within work-units. Moderated regressions determined whether effects of ICT-hassles varied with levels of support and training. Individual level ICT-hassles predicted HSA-P (OR 1.20, 95% CI 1.01,1.42) and work-unit level hassles LMSA-P (OR 1.47, 95% CI 1.11,1.94). ICT-support at both levels predicted lower risk of LMSA-P (individual: OR 0.84, 95% CI 0.74,0.97, work-unit: OR 0.63, 95% CI 0.50,0.80). Insufficient training appeared to have the most marked effects, with ORs ranging from 1.66 to 5.12. Effects were strongest at the work-unit level and persisted after adjustment for job demands and -control. No moderation of the effect of hassles by training and support was observed. In conclusion, ICT-hassles may promote absence whereas support and training prevent it. However, offering support after hassles have occurred may not be sufficient, suggesting that prevention is more effective than repair.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"16 ","pages":"Article 100537"},"PeriodicalIF":4.9,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142707268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of business intelligence on organizational competitiveness- exploring the mediation of technology anxiety","authors":"Rabbir Rashedin Tirno","doi":"10.1016/j.chbr.2024.100536","DOIUrl":"10.1016/j.chbr.2024.100536","url":null,"abstract":"<div><div>Complying with the fourth industrial revolution, business intelligence plays a vital role in the organization's capacity to compete with rivals. The study attempted to explore the influences of business intelligence on the firms' competitiveness and the intervention of technology anxiety between them. The population of the investigation was business intelligence experts in the ICT-based startups operating in Bangladesh. One hundred fifty-six respondents were surveyed on a structured Likert-scale questionnaire. The data was gathered using purposive and snowball sampling. The results were calculated employing the SmartPLS program. The analysis showed that the performance of business intelligence systems increases the competitiveness of ICT-based startups. Meanwhile, technology anxiety has a negative effect on competitiveness. No substantial evidence was found on the association between business intelligence and competitiveness. This study will aid managers in reducing the barrier of technology anxiety through the organized use of business intelligence. In addition, future researchers can use this investigation to identify other influential factors that might substantially affect firms' competitiveness.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"16 ","pages":"Article 100536"},"PeriodicalIF":4.9,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142707428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Human vs. AI counseling: College students' perspectives","authors":"Mohammad Amin Kuhail ,&nbsp;Nazik Alturki ,&nbsp;Justin Thomas ,&nbsp;Amal K. Alkhalifa","doi":"10.1016/j.chbr.2024.100534","DOIUrl":"10.1016/j.chbr.2024.100534","url":null,"abstract":"<div><div>Transitioning to college life while navigating the complexities of emerging adulthood can be stressful. In some instances, it may even lead to the onset of mental health problems or the exacerbation of existing issues. While therapeutic resources are typically available in tertiary educational contexts, social stigma may lead to service underutilization. Additionally, high student-to-therapist ratios can create bottlenecks to access when such services are sought. Offering an adjunct to traditional campus counseling services, AI chatbots can potentially address such issues. Chatbots can provide flexible, accessible, anonymous, and cost-effective first-line support, improving access and extending traditional treatment methodologies. This study evaluates college students' perceptions (<em>N</em> = 224) of an AI chatbot (Pi) designed to emulate supportive and empathetic interactions characterized by active listening. Participants blindly assessed transcripts from active listening interactions between a client and Pi versus interactions between a client and a human counselor/therapist. The results indicate that participants could not distinguish between the human-human and human-AI counseling transcripts, answering correctly only 47.5% of the time. Moreover, participants gave higher quality ratings to the human-AI counseling transcripts than the human-human ones. These findings provide tentative support for the user-acceptability of relational AI chatbots during the counseling process's early phases (active listening and problem exploration).</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"16 ","pages":"Article 100534"},"PeriodicalIF":4.9,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142707263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What does “Internet” mean to us as we age? A multi-task investigation on the conceptualization of the technological domain across generations","authors":"Ilenia Falcinelli ,&nbsp;Chiara Fini ,&nbsp;Claudia Mazzuca ,&nbsp;Guido Alessandri ,&nbsp;Fabio Alivernini ,&nbsp;Roberto Baiocco ,&nbsp;Andrea Chirico ,&nbsp;Lorenzo Filosa ,&nbsp;Tommaso Palombi ,&nbsp;Jessica Pistella ,&nbsp;Simone Tavolucci ,&nbsp;Fabio Lucidi ,&nbsp;Anna M. Borghi","doi":"10.1016/j.chbr.2024.100531","DOIUrl":"10.1016/j.chbr.2024.100531","url":null,"abstract":"<div><div>Technological progress is increasing rapidly, and keeping up is particularly challenging for older adults. Thus, adapting technological innovations to human needs has become urgent. The first step toward this aim is to understand <em>how people conceptualize technology.</em> Here, we asked 54 younger and 54 older adults to perform a Go/No-Go, a rating, and a feature generation task to investigate the processing and representation of Technological concepts (e.g., “<em>Internet</em>”) compared to Abstract (e.g., “<em>logic</em>”) and Concrete concepts (e.g., “<em>bottle</em>”). Younger adults showed an elaboration advantage for Technological upon Abstract and Concrete concepts. Technological concepts exhibited a <em>hybrid</em> character, but in older adults, they had a more abstract characterization. Finally, the semantic knowledge associated with Technology was differently organized in content across generations and less structurally robust in older adults. Overall, our results highlight how concepts flexibly change across life and can help societal policies to increase awareness in technology-use across generations.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"16 ","pages":"Article 100531"},"PeriodicalIF":4.9,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142707262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors affecting behavioral intention to use internet consumer credit services: Case of young adults in China","authors":"Jiangbo Zou ,&nbsp;Xiaokang Fu","doi":"10.1016/j.chbr.2024.100532","DOIUrl":"10.1016/j.chbr.2024.100532","url":null,"abstract":"<div><div>The internet consumer credit industry has entered a stage of standardized development in China, and many internet consumer credit services have been widely adopted by consumers in recent years. This paper investigated the factors that influence young consumers' behavioral intention to use internet consumer credit services when presented with several highly homogeneity options. A theoretical research framework was built based on the theory of perceived value and the theory of planned behavior (TPB). Multiple regression analysis was then used to examine the hypotheses. Results indicate that perceived value and switching costs have a significant positive impact on consumers’ behavioral intention to use an internet consumer credit service, while perceived cost has a statistically significant negative impact. However, contrary to our expectation, subjective norm does not significant effect on perceived value. The findings suggested that improving consumer education for young adults is paramount.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"16 ","pages":"Article 100532"},"PeriodicalIF":4.9,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142707267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The validity and reliability of the Hungarian version of smartphone addiction scale – Short version (SAS-SV-HU) among university students","authors":"Bettina Tóth ,&nbsp;Alexandra Makai ,&nbsp;Monika Gyuró ,&nbsp;Márk Komáromy ,&nbsp;Gabriella Császár","doi":"10.1016/j.chbr.2024.100527","DOIUrl":"10.1016/j.chbr.2024.100527","url":null,"abstract":"<div><div>The Smartphone Addiction Scale Short Version (SAS-SV) is a widely used tool for examining smartphone addiction, but its Hungarian validation has not been available yet. The purpose of this research is the adaptation of the SAS-SV in Hungarian among university students. A total of 456 university students aged between 18 and 31 years (M_age = 21.9, 74.6% female) participated in this cross-sectional study. We performed a test-retest evaluation with a convenience sample of 50 university students to examine the reliability of the questionnaire. The participants completed the questionnaire twice, 3 weeks apart. The online survey comprised four sections: (a) sociodemographic, (b) mobile phone usage habits, (c) the SAS-SV adapted into Hungarian (SAS-SV-HU), and (d) The Brief Smartphone Addiction Scale (BSAS). The reliability of the SAS-SV-HU was evaluated by internal consistency reliability and test-retest reliability, and the validity of the SAS-SV-HU was evaluated by structural, convergent, and discriminant validity. The internal consistency was assessed by Cronbach's alpha coefficient, which showed a good level of internal consistency (α = 0.79). The test–retest reliability of the SAS-SV-HU questionnaire was excellent (ICC = 0.96, 95% CI = 0.922–0.975, p &lt; 0.001). The modified model was showed acceptable fit indices, where the CMIN/df 2.546; χ² 78.912, p &lt; 0.001, RMSEA 0.058 (90% CI 0.042–0.074) TLI 0.931, CFI 0.952, SRMR 0.046. The SAS-SV-HU scale significantly correlated with the BSAS score (p &lt; 0.001, r_s = 0.666) and the mean time spend on smartphones (p &lt; 0.001, r_s = 0.233). The results showed that the SAS-SV-HU is a reliable and valid tool for assessing the smartphone addiction of Hungarian university students.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"16 ","pages":"Article 100527"},"PeriodicalIF":4.9,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"User acceptance of AI voice assistants in Jordan’s telecom industry","authors":"Mousa Al-Kfairy ,&nbsp;Dheya Mustafa ,&nbsp;Ahmed Al-Adaileh ,&nbsp;Samah Zriqat ,&nbsp;Obsa Sendaba","doi":"10.1016/j.chbr.2024.100521","DOIUrl":"10.1016/j.chbr.2024.100521","url":null,"abstract":"<div><h3>Purpose:</h3><div>This study aims to understand factors influencing consumer acceptance of artificial intelligence (AI) voice assistants used in customer support within telecom companies in Jordan.</div></div><div><h3>Methodology:</h3><div>A survey was conducted involving 248 individuals who have experience with telecom support services. To evaluate consumer acceptance, the study incorporates the Unified Theory of Acceptance and Use of Technology (UTAUT) framework and extends it with attributes specific to AI, such as Perceived Reliability, Voice Quality, and Quality of Information. Advanced statistical methods, including structural equation modeling with SPSS AMOS 28 and SmartPLS, were utilized to analyze the collected data.</div></div><div><h3>Findings:</h3><div>The results revealed that Perceived Reliability and Quality of Information were significant predictors of AI voice assistant adoption in the telecom sector, while traditional factors such as Perceived Usefulness and Trust showed no significant impact. These findings suggest that performance-related elements play a more crucial role in user acceptance of AI in this context compared to earlier technological acceptance models.</div></div><div><h3>Implications:</h3><div>The study offers an expansion to traditional technology acceptance models by highlighting the importance of AI-specific attributes over conventional factors like Perceived Usefulness and Trust. For telecom operators in developing markets, this research provides guidance on enhancing customer engagement with AI voice assistants. It suggests focusing on improving the reliability and quality of information provided by AI systems to boost user acceptance.</div></div><div><h3>Originality/value:</h3><div>The study provides valuable insights into the changing dynamics of consumer acceptance of AI in customer support, emphasizing a shift toward performance-based criteria. Telecom companies in Jordan can use these findings to inform their AI adoption strategies and enhance customer satisfaction.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"16 ","pages":"Article 100521"},"PeriodicalIF":4.9,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662358","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}