Computers in human behavior reports最新文献_第6页

A hybrid model for improving customer lifetime value prediction using stacking ensemble learning algorithm

IF 4.9

Computers in human behavior reports Pub Date : 2025-02-10 DOI: 10.1016/j.chbr.2025.100616

Amir Mohammad Haddadi , Hodjat Hamidi

{"title":"A hybrid model for improving customer lifetime value prediction using stacking ensemble learning algorithm","authors":"Amir Mohammad Haddadi , Hodjat Hamidi","doi":"10.1016/j.chbr.2025.100616","DOIUrl":"10.1016/j.chbr.2025.100616","url":null,"abstract":"<div><div>A significant challenge that analysts and marketing managers often face is predicting future customer buying behavior. Identifying customers who are likely to make purchases down the line and estimating how much they will spend can help companies create more effective marketing campaigns and special offers that not only boost profits but also improve the overall customer experience and contribute to building lasting relationships. This paper outlines a comprehensive, detailed methodology for the forecasting and analysis of customer behavior using advanced predictive models and machine learning techniques. This framework can assist an organization in making more strategic and data-driven decisions to enhance both performance and profitability while securing improved customer satisfaction and long-term loyalty. The primary goal of this research is to increase the accuracy of Customer Lifetime Value (CLV) predictions and to provide deeper insights into customer behaviors. To achieve this objective, a combination of four key metrics is employed, namely: predicted purchases estimated using the BG-NBD model, predicted average value calculated through the Gamma-Gamma model, customer clustering labels assigned via the K-means model, and the customer status index derived from the Markov chain model. These essential metrics are subsequently integrated into the dataset. In order to further improve the accuracy of the predictions, this research uses a Stacking Ensemble model that combines four algorithms, i.e., Elastic Net, Random Forest, XGBoost, and SVM. The results demonstrate that integrating those features and using the Stacking Ensemble model substantially increases the prediction accuracy and decreases the errors. Sensitivity analysis and feature importance also prove the effectiveness of the method.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"18 ","pages":"Article 100616"},"PeriodicalIF":4.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Master your practice! A quantitative analysis of Device and system handling training to enable competent interactions with intelligent voice assistants

IF 4.9

Computers in human behavior reports Pub Date : 2025-02-08 DOI: 10.1016/j.chbr.2025.100610

Maximilian Baumann , André Markus , Jan Pfister , Astrid Carolus , Andreas Hotho , Carolin Wienrich

{"title":"Master your practice! A quantitative analysis of Device and system handling training to enable competent interactions with intelligent voice assistants","authors":"Maximilian Baumann , André Markus , Jan Pfister , Astrid Carolus , Andreas Hotho , Carolin Wienrich","doi":"10.1016/j.chbr.2025.100610","DOIUrl":"10.1016/j.chbr.2025.100610","url":null,"abstract":"<div><div>Intelligent voice assistants (IVAs), such as Siri or Alexa, are voice-based artificial intelligence (AI) systems that help users solve everyday tasks using voice commands. Users often have a superficial understanding of the full range of functions IVAs can be used for and how to use them effectively. Since higher knowledge of device and system handling is fundamental for positive interaction quality and self-determined use of IVAs, this study examines how training can contribute to the promotion of variables such as usage aspects, social perception, and self-determined interaction and how such training can be designed. Based on an established competence framework and the principles of learning psychology and media didactics, three online training modules were developed to strengthen the user's device and system handling competence, and their effects on the parameters of competent AI interaction were investigated. A total of 110 students took part in the three training studies. Results of dependent <em>t</em>-tests show that completing training modules improves device and system handling and increases the intention to use IVAs more self-determined. In detail, participants perceive IVAs as more useful, tend to be more explorative and indulgent, feel more competent to use IVAs, and perceive them as less disturbing. Overall, the paper demonstrates the effectiveness of training in improving the perceived usefulness of IVAs, exploratory and indulgent behavioral intentions, and decreasing the disturbance of IVAs. This work has great potential for research and education to improve, explore, and advance user behavior and competent interaction with IVAs, as well as for broader AI applications.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100610"},"PeriodicalIF":4.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143349984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Large Language Models meet moral values: A comprehensive assessment of moral abilities

IF 4.9

Computers in human behavior reports Pub Date : 2025-02-08 DOI: 10.1016/j.chbr.2025.100609

Luana Bulla , Stefano De Giorgis , Misael Mongiovì , Aldo Gangemi

{"title":"Large Language Models meet moral values: A comprehensive assessment of moral abilities","authors":"Luana Bulla , Stefano De Giorgis , Misael Mongiovì , Aldo Gangemi","doi":"10.1016/j.chbr.2025.100609","DOIUrl":"10.1016/j.chbr.2025.100609","url":null,"abstract":"<div><div>Automatic moral classification in textual data is crucial for various fields including Natural Language Processing (NLP), social sciences, and ethical AI development. Despite advancements in supervised models, their performance often suffers when faced with real-world scenarios due to overfitting to specific data distributions. To address these limitations, we propose leveraging state-of-the-art Large Language Models (LLMs) trained on extensive common-sense data for unsupervised moral classification. We introduce an innovative evaluation framework that directly compares model outputs with human annotations, ensuring an assessment of model performance. Our methodology explores the effectiveness of different LLM sizes and prompt designs in moral value detection tasks, considering both multi-label and binary classification scenarios. We present experimental results using the Moral Foundation Reddit Corpus (MFRC) and discuss implications for future research in ethical AI development and human–computer interaction. Experimental results demonstrate that GPT-4 achieves superior performance, followed by GPT-3.5, Llama-70B, Mixtral-8x7B, Mistral-7B and Llama-7B. Additionally, the study reveals significant variations in model performance across different moral domains, particularly between everyday morality and political contexts. Our work provides meaningful insights into the use of zero-shot and few-shot models for moral value detection and discusses the potential and limitations of current technology in this task.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100609"},"PeriodicalIF":4.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143428085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Inclusive digital platforms: Designing for and with users with mild intellectual disabilities or low literacy skills

IF 4.9

Computers in human behavior reports Pub Date : 2025-02-08 DOI: 10.1016/j.chbr.2025.100617

Julia F.E. van Calis, Jenneken Naaldenberg, Anneke W.C. van der Cruijsen, Monique C.J. Koks-Leensen, Geraline L. Leusink, Kirsten E. Bevelander

{"title":"Inclusive digital platforms: Designing for and with users with mild intellectual disabilities or low literacy skills","authors":"Julia F.E. van Calis, Jenneken Naaldenberg, Anneke W.C. van der Cruijsen, Monique C.J. Koks-Leensen, Geraline L. Leusink, Kirsten E. Bevelander","doi":"10.1016/j.chbr.2025.100617","DOIUrl":"10.1016/j.chbr.2025.100617","url":null,"abstract":"<div><div>There are diverse general guidelines about improving the accessibility of digital platforms. Literature is scarce on the specific elements that make digital platforms accessible and inclusive for individuals with mild intellectual disability (MID) or low literacy (LL). This study investigated key design elements crucial for individuals with MID or LL that enable their access to and participation in digital platforms. We applied a user-sensitive inclusive research approach to re-design and implement the digital research platform ‘I co-research’ for individuals with MID or LL. Qualitative data were gathered through semi-structured interviews and usability tests. Apart from general design characteristics such as clarity, readability, comprehensibility, and intuitive design our results showed specific elements for creating an inclusive digital environment. Crucial design elements for an inclusive digital environment included the use of recognizable and suitable well-designed visuals that align with and reflect the diversity in society, and comprehensible naming of the platform to enhance the findability. The importance of an accessible onboarding process and intuitive navigation features including read-aloud and read-along functionalities also emerged. In conclusion, employing a user-sensitive inclusive research approach for the re-design of a digital research platform enabled the identification of design characteristics and elements specifically important for people with MID or LL to enhance accessibility and usability. By integrating participatory methodologies and incorporating these key design elements, digital platforms can be tailored to meet the diverse needs of individuals with MID or LL facilitating greater inclusion and participation in digital research.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100617"},"PeriodicalIF":4.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143349983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Toward the Language MOOC (LMOOC’s) low dropout rate: The control-value theory of persistency in LMOOC (CVTPLMOOC)

IF 4.9

Computers in human behavior reports Pub Date : 2025-02-08 DOI: 10.1016/j.chbr.2025.100593

Amir Reza Rahimi , Babak Daneshvar Ghorbani

{"title":"Toward the Language MOOC (LMOOC’s) low dropout rate: The control-value theory of persistency in LMOOC (CVTPLMOOC)","authors":"Amir Reza Rahimi , Babak Daneshvar Ghorbani","doi":"10.1016/j.chbr.2025.100593","DOIUrl":"10.1016/j.chbr.2025.100593","url":null,"abstract":"<div><div>The high attrition rate of Language Massive Open Online Courses (MOOC) is becoming an issue of concern for administrators. To remedy this problem, previous LMOOC studies applied motivational, self-regulation, and technology acceptance theories; however, for the sake of persistence in this context, the term persistence needs to be addressed. For this gap, in the current study, the researchers developed a new conceptual framework, namely, the control-value theory of persistence in LMOOC (CVTPLMOOC), which includes a serial mechanism incorporating environmental factors, cognitive appraisals, persistence, and boredom. The questionnaire was administered through the Iranian LMOOC platform, and 197 intermediate language learners completed it. The symmetrical part of the study validated the factorial structures of our conceptual theory in LMOOC and demonstrated that the higher the interaction between language learners, the more their perception of LMOOC content aligned with their objectives, the more persistence they displayed, and the lower the boredom level. Moreover, serial mediation analysis revealed that extrinsic value appraisal also mediated language learners' persistence and boredom in LMOOCs. The Necessary Conditional Analysis (NCA) revealed that at least eight conditions should be met by the presence of environmental antecedents and cognitive appraisals to shape language learners' persistence in LMOOC. The study has thus contributed to the development of a new theory within the field of LMOOC and CALL and recommended that LMOOCs should be designed based on cMOOCs since language learners' interactions were one of the necessary conditions and had the highest correlation with their persistency in this context.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100593"},"PeriodicalIF":4.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143349982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The influence of causal loop diagrams on systems thinking and information utilization in complex problem-solving

IF 4.9

Computers in human behavior reports Pub Date : 2025-02-07 DOI: 10.1016/j.chbr.2025.100613

G.A. Veldhuis (Guido) , E.M. Smits-Clijsen (Eefje) , R.P.M. van Waas (Rob) , T. Hof (Tineke) , V. Maccatrozzo (Valentina) , E.A.J.A. Rouwette (Etiënne) , J.H. Kerstholt (José)

{"title":"The influence of causal loop diagrams on systems thinking and information utilization in complex problem-solving","authors":"G.A. Veldhuis (Guido) , E.M. Smits-Clijsen (Eefje) , R.P.M. van Waas (Rob) , T. Hof (Tineke) , V. Maccatrozzo (Valentina) , E.A.J.A. Rouwette (Etiënne) , J.H. Kerstholt (José)","doi":"10.1016/j.chbr.2025.100613","DOIUrl":"10.1016/j.chbr.2025.100613","url":null,"abstract":"<div><div>Effective communication tools are essential for computer-aided approaches to policy analysis and design. The System Dynamics approach relies on model diagrams, such as Causal Loop Diagrams (CLDs), to communicate findings to clients. Despite their importance, there has been limited examination of the effectiveness of such diagrams in supporting professionals' reasoning about complex problems. In this study, we employed a mixed-method design with two sequential stimuli (CLD/Text or Text/CLD) to examine the impact of CLDs on professionals' (N = 14) ability to engage in systems thinking and information utilization. Through a case study on youth crime, utilizing a think-aloud method, we prompted police and municipal professionals to articulate their understanding of the problem's causes and the potential impact of an intervention. Additionally, we explored the influence of self-efficacy, response efficacy, and the need for cognition. Findings suggest that presenting a CLD following textual information enhances systems thinking and information utilization. We discuss implications and potential directions for future research.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100613"},"PeriodicalIF":4.9,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143438237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Response-efficacy messages produce stronger passwords than self-efficacy messages … for now: A longitudinal experimental study of the efficacy of coping message types on password creation behaviour

IF 4.9

Computers in human behavior reports Pub Date : 2025-02-06 DOI: 10.1016/j.chbr.2025.100615

Joelle Simon, Steven J. Watson, Iris van Sintemaartensdijk

{"title":"Response-efficacy messages produce stronger passwords than self-efficacy messages … for now: A longitudinal experimental study of the efficacy of coping message types on password creation behaviour","authors":"Joelle Simon, Steven J. Watson, Iris van Sintemaartensdijk","doi":"10.1016/j.chbr.2025.100615","DOIUrl":"10.1016/j.chbr.2025.100615","url":null,"abstract":"<div><div>User non-adherence to password guidelines remains a persistent challenge in the fight against cyberattacks. Many users circumvent password requirements by choosing weak, easy-to-guess passwords. This study tests the effectiveness of coping messages (i.e., self-efficacy, response efficacy, and a combination of self-efficacy and response efficacy) to improve the strength of passwords created by users. Participants (<em>N</em> = 221) were instructed to create passwords for three fictional online accounts after receiving password creation instructions that incorporated one of the aforementioned coping message types. They then reported their intentions to adopt strong passwords post-intervention and reported on their actual password practices four weeks later. Findings indicate that the strength of the created passwords did not improve based on the messages participants received, and those who received self-efficacy messages actually created passwords with lower entropy. The intention to adopt strong passwords was only elevated for participants who received combined self-efficacy and response efficacy condition, and neither message type had a clear impact on user behaviour after four weeks. This study paves the way for developing more effective messages based on the Protection Motivation Theory (PMT) constructs to encourage safe password behaviour.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100615"},"PeriodicalIF":4.9,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143372191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Systematic literature review on usability and training outcomes of using digital training technologies in industry

IF 4.9

Computers in human behavior reports Pub Date : 2025-02-05 DOI: 10.1016/j.chbr.2025.100604

Lasse Nielsen Langendorf , Md Saifuddin Khalid

{"title":"Systematic literature review on usability and training outcomes of using digital training technologies in industry","authors":"Lasse Nielsen Langendorf , Md Saifuddin Khalid","doi":"10.1016/j.chbr.2025.100604","DOIUrl":"10.1016/j.chbr.2025.100604","url":null,"abstract":"<div><div>This state-of-the-art literature review synthesizes findings from 33 articles reporting on the usability and training outcomes of digital training technologies and methods for industrial job roles, adhering to PRISMA guidelines, and analyzed based on PICOC framework. Collaborative efforts between academia and industry have led to industrial training evaluations. Most of which focus on augmented reality (AR) and mixed reality (MR). For benchmarking, digital training is commonly compared to paper-based manuals before digital instructions and peer-training, although a significant number of studies lack comparative analysis. Effectiveness, efficiency, and satisfaction are the primary parameters for assessing usability, with many studies prioritizing quantitative measures such as task completion times and error rates. Only 12 studies evaluated all three usability parameters, and a mere five papers incorporated major learning theories, with just three considering both learning theories and usability, indicating a need for more interdisciplinary research. While digital training technologies generally show improved performance over traditional manuals, comparisons with peer-training yield inconsistent results. This variability, combined with differences in context, populations, and evaluation methods, suggests that broader research is needed for definitive conclusions on the potential performance gains achieved by utilizing digital training technologies.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100604"},"PeriodicalIF":4.9,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143317167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the multidimensional nature of the psychopathy construct in social media context: Insights from Instagram

IF 4.9

Computers in human behavior reports Pub Date : 2025-02-04 DOI: 10.1016/j.chbr.2025.100603

Mojtaba Elhami Athar

{"title":"Exploring the multidimensional nature of the psychopathy construct in social media context: Insights from Instagram","authors":"Mojtaba Elhami Athar","doi":"10.1016/j.chbr.2025.100603","DOIUrl":"10.1016/j.chbr.2025.100603","url":null,"abstract":"<div><div>Despite numerous studies examining the relationship between psychopathy and online behaviors, most have relied on measures that assess psychopathy as a unidimensional construct. However, this contradicts the prevailing view in clinical and research settings that define psychopathy as a multidimensional construct. To address this gap in the literature, the current study examined the relationships between multiple dimensions of the psychopathy construct, as measured by the Youth Psychopathic Traits Inventory – Short Version (YPI-S), and indices of cybercrime, cyber abuse, sadfishing, Instagram addiction, and Instagram activity metrics (daily time spent, frequency of sharing stories/posts, and selfie-sharing), as well as indices of successful online careers in the context of Instagram. A sample of 490 university students (aged 18–46 years; <em>M</em> = 23.92, <em>SD</em> = 7.16; 76.32% female) participated by completing an online version of the measures. Results indicated that each component of the psychopathy construct demonstrated unique associations with online behaviors, suggesting that these components may reflect distinct underlying motivations for engaging in specific online activities. Findings underscore the importance of utilizing multidimensional measures of the psychopathy construct in social media research, rather than relying on unidimensional measures such as those assessing Dark Triad or Tetrad traits. Overlooking this approach may lead to a less comprehensive understanding of the nuanced relationships between psychopathy and online behaviors.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100603"},"PeriodicalIF":4.9,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Psychological well-being, gender, and age-specific difference on objectively recorded smartphone screen time in Japanese adults: A regression and clustering analysis

IF 4.9

Computers in human behavior reports Pub Date : 2025-02-03 DOI: 10.1016/j.chbr.2025.100612

Ryusei Nishi , Kenichiro Sagiyama , Hajime Suzuki , Marie Amitani , Haruka Amitani , Akihiro Asakawa

{"title":"Psychological well-being, gender, and age-specific difference on objectively recorded smartphone screen time in Japanese adults: A regression and clustering analysis","authors":"Ryusei Nishi , Kenichiro Sagiyama , Hajime Suzuki , Marie Amitani , Haruka Amitani , Akihiro Asakawa","doi":"10.1016/j.chbr.2025.100612","DOIUrl":"10.1016/j.chbr.2025.100612","url":null,"abstract":"<div><h3>Background</h3><div>Smartphones have become an integral part of our daily lives. Although many scales can assess smartphone usage, they rely on respondents' subjective self-reports and suffer from considerable cognitive bias. Therefore, quantitative measurement of smartphone's recorded screen time is an effective way to assess smartphone usage.</div></div><div><h3>Objective</h3><div>This study assesses the effects of age, gender, and subjective psychological factors (depression, social anxiety, sleep quality, stress perseverance, and loneliness) on smartphone usage. Based on previous research, we hypothesized that there would be (1) gender-, (2) age-, and (3) psychological state-specific differences in smartphone usage.</div></div><div><h3>Methods</h3><div>We conducted psychological tests, obtained participants’ weekly screen times, and performed ordinary least squares (OLS) regression and k-means clustering.</div></div><div><h3>Results</h3><div>Twenty-four female participants and 25 male participants were analyzed. Only the subjective loneliness indicated statistical significance between genders. OLS regression analysis indicated that among females, age showed a negative coefficient (age, −76.5), and both the social anxiety (LSAS-J, 20.0) and loneliness (UCLA-LS, −44.5) had significant coefficients. In contrast, among males, age had no significant coefficients, and only the depression (BDI-III, 77.7) showed a significant positive relationship.</div></div><div><h3>Conclusions</h3><div>Our findings suggest that smartphone users' motivations and practicalities differ by gender and age group. To support these findings, further studies with larger sample sizes and more variables should be conducted.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"17 ","pages":"Article 100612"},"PeriodicalIF":4.9,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143376877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0