Pub Date : 2024-11-24DOI: 10.1016/j.chbr.2024.100530
Cristian Opariuc-Dan , Alexandra Maftei , Ioan-Alex Merlici
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 (M = 22.58, SD = 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.
{"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 , Alexandra Maftei , 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}
Pub Date : 2024-11-24DOI: 10.1016/j.chbr.2024.100529
Jackie Zhanbiao Li , Janet Yuen-Ha Wong , Doreen Wing-Han Au , Yiyao Chen , Yingqian Lao , Mengmeng Zhang
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.
{"title":"The impact of social media reports on nurses’ job satisfaction: A cross-section suvery","authors":"Jackie Zhanbiao Li , Janet Yuen-Ha Wong , Doreen Wing-Han Au , Yiyao Chen , Yingqian Lao , 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}
Pub Date : 2024-11-22DOI: 10.1016/j.chbr.2024.100533
Raluca Alexandra Fulgu, Valerio Capraro
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.
我们介绍了探索 GPT 中性别偏见的八项实验。起初，我们要求 GPT 生成一个潜在作者的人口统计数据，这些数据包含 40 个表面上由小学生书写的短语，其中 20 个包含女性刻板印象，20 个包含男性刻板印象。结果显示出强烈的偏差，刻板的男性化句子被归于女性的频率高于反之。例如，句子 "I love playing fotbal！I love playing fotbal! Im practicing with my cosin Michael"（我和我的朋友迈克尔一起练习）这句话经常被 GPT-3.5 Turbo 归于女性作者。这一现象很可能反映出，虽然让女性融入传统男性角色的举措已经取得了一定的进展，但反向运动仍然相对落后。随后的实验研究了高风险道德困境中的同一问题。GPT-4 发现，与虐待女性相比，虐待男性来防止核启示更为合适。这种偏差延伸到了性别均等辩论中的其他重要暴力形式（虐待），但没有延伸到那些不那么重要的暴力形式（酷刑）。此外，在为更大利益而实施男女混合暴力的情况下，这种偏见会加剧：GPT-4 同意女性为防止核灾难而对男性施暴，但不同意男性为同样目的对女性施暴。最后，这些偏差是隐性的，因为当直接要求 GPT-4 对违反道德的行为进行排序时，这些偏差并没有出现。这些结果凸显了谨慎管理包容性工作以防止意外歧视的必要性。
{"title":"Surprising gender biases in GPT","authors":"Raluca Alexandra Fulgu, 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}
Pub Date : 2024-11-21DOI: 10.1016/j.chbr.2024.100537
Jan Olav Christensen , Stein Knardahl , Morten Birkeland Nielsen
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.
工作中的信息与传播技术（ICT）会造成困扰和挫折，通常被称为 "技术压力"。然而，很少有研究（如果有的话）探讨过信息和通信技术因素对因精神压力而缺勤的影响。我们调查了 "信息和通信技术麻烦"--信息和通信技术问题导致的工作中断--对因心理诊断（LMSA-P/HSA-P）导致的中低水平和高水平病假的影响。我们还确定了信息与通信技术培训和信息与通信技术支持的缓解作用。我们对挪威的 8620 名工人进行了调查，并将答复与调查后 12 个月内经医学证明的心理投诉缺勤的官方登记数据联系起来。我们采用贝叶斯多层次多叉逻辑回归法，分析了个人层面的信息和通信技术变量，以及工作单位内员工的平均信息和通信技术变量。调节回归确定了信息和通信技术障碍的影响是否随支持和培训水平的变化而变化。个人层面的信息和通信技术麻烦预示着 HSA-P（OR 1.20，95% CI 1.01,1.42），工作单位层面的麻烦预示着 LMSA-P（OR 1.47，95% CI 1.11,1.94）。两个层面的信息和通信技术支持预示着较低的 LMSA-P 风险（个人：OR 0.84，95% CI 0.74,0.97；工作单位：OR 0.63，95% CI 0.50,0.80）。培训不足的影响似乎最为明显，OR 值从 1.66 到 5.12 不等。在工作单位层面的影响最大，在对工作要求和控制进行调整后，影响依然存在。没有观察到培训和支持对麻烦影响的调节作用。总之，信息和通信技术带来的麻烦可能会导致缺勤，而支持和培训则会防止缺勤。然而，在麻烦发生后提供支持可能还不够，这表明预防比修复更有效。
{"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 , Stein Knardahl , 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}
Pub Date : 2024-11-21DOI: 10.1016/j.chbr.2024.100536
Rabbir Rashedin Tirno
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.
{"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}
Pub Date : 2024-11-20DOI: 10.1016/j.chbr.2024.100534
Mohammad Amin Kuhail , Nazik Alturki , Justin Thomas , Amal K. Alkhalifa
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 (N = 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).
过渡到大学生活，同时又要应对复杂的成年期生活，这可能会给人带来压力。在某些情况下，它甚至可能导致心理健康问题的出现或现有问题的加剧。虽然在高等教育环境中通常会提供治疗资源，但社会耻辱感可能会导致服务利用不足。此外，在寻求此类服务时，学生与治疗师之间的高比例也会造成获取服务的瓶颈。作为传统校园咨询服务的辅助工具，人工智能聊天机器人有可能解决这些问题。聊天机器人可以提供灵活、便捷、匿名、经济高效的一线支持，从而改善获取途径并扩展传统治疗方法。本研究评估了大学生（N = 224）对人工智能聊天机器人（Pi）的看法，该聊天机器人旨在模仿以积极倾听为特征的支持性和移情互动。参与者对客户与 Pi 之间的积极倾听互动记录和客户与人类咨询师/治疗师之间的互动记录进行了盲评。结果表明，参与者无法区分人与人之间的咨询记录和人与人工智能之间的咨询记录，只有 47.5% 的时间回答正确。此外，参与者对人类-人工智能咨询记录誊本的质量评分高于人类-人类咨询记录誊本。这些发现为用户在咨询过程的早期阶段（积极倾听和问题探索）接受关系型人工智能聊天机器人提供了初步支持。
{"title":"Human vs. AI counseling: College students' perspectives","authors":"Mohammad Amin Kuhail , Nazik Alturki , Justin Thomas , 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}
Pub Date : 2024-11-19DOI: 10.1016/j.chbr.2024.100531
Ilenia Falcinelli , Chiara Fini , Claudia Mazzuca , Guido Alessandri , Fabio Alivernini , Roberto Baiocco , Andrea Chirico , Lorenzo Filosa , Tommaso Palombi , Jessica Pistella , Simone Tavolucci , Fabio Lucidi , Anna M. Borghi
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 how people conceptualize technology. 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., “Internet”) compared to Abstract (e.g., “logic”) and Concrete concepts (e.g., “bottle”). Younger adults showed an elaboration advantage for Technological upon Abstract and Concrete concepts. Technological concepts exhibited a hybrid 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.
{"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 , Chiara Fini , Claudia Mazzuca , Guido Alessandri , Fabio Alivernini , Roberto Baiocco , Andrea Chirico , Lorenzo Filosa , Tommaso Palombi , Jessica Pistella , Simone Tavolucci , Fabio Lucidi , 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}
Pub Date : 2024-11-19DOI: 10.1016/j.chbr.2024.100532
Jiangbo Zou , Xiaokang Fu
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.
{"title":"Factors affecting behavioral intention to use internet consumer credit services: Case of young adults in China","authors":"Jiangbo Zou , 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}
Pub Date : 2024-11-16DOI: 10.1016/j.chbr.2024.100527
Bettina Tóth , Alexandra Makai , Monika Gyuró , Márk Komáromy , Gabriella Császár
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 (Mage = 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 < 0.001). The modified model was showed acceptable fit indices, where the CMIN/df 2.546; χ2 78.912, p < 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 < 0.001, rs = 0.666) and the mean time spend on smartphones (p < 0.001, rs = 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.
{"title":"The validity and reliability of the Hungarian version of smartphone addiction scale – Short version (SAS-SV-HU) among university students","authors":"Bettina Tóth , Alexandra Makai , Monika Gyuró , Márk Komáromy , 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<sub>age</sub> = 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 < 0.001). The modified model was showed acceptable fit indices, where the CMIN/df 2.546; χ<sup>2</sup> 78.912, p < 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 < 0.001, r<sub>s</sub> = 0.666) and the mean time spend on smartphones (p < 0.001, r<sub>s</sub> = 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}
Pub Date : 2024-11-16DOI: 10.1016/j.chbr.2024.100521
Mousa Al-Kfairy , Dheya Mustafa , Ahmed Al-Adaileh , Samah Zriqat , Obsa Sendaba
Purpose:
This study aims to understand factors influencing consumer acceptance of artificial intelligence (AI) voice assistants used in customer support within telecom companies in Jordan.
Methodology:
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.
Findings:
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.
Implications:
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.
Originality/value:
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.
{"title":"User acceptance of AI voice assistants in Jordan’s telecom industry","authors":"Mousa Al-Kfairy , Dheya Mustafa , Ahmed Al-Adaileh , Samah Zriqat , 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}
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