Human Behavior and Emerging Technologies最新文献

{"title":"More Than Just a Buzzword—Mapping the Evolution of Research on Cancel Culture in Social Sciences","authors":"Gergely Ferenc Lendvai","doi":"10.1155/hbe2/4671293","DOIUrl":"https://doi.org/10.1155/hbe2/4671293","url":null,"abstract":"<p>The study investigates the phenomenon of cancel culture within social sciences from 2016 to 2023. Utilizing a scientometric perspective, it analyzes the evolution, themes, and visibility of academic publications on cancel culture. The research employs cocitation and keyword co-occurrence analyses using CiteSpace and VOSviewer based on data extracted from the Scopus database. The main findings reveal a significant increase in research volume starting in 2021, particularly influenced by the COVID-19 pandemic. Five major thematic clusters are identified: deplatforming, cultural conflicts, intersections (politics, philosophy, and popular culture), racism and repercussions, and celebrities. Key influential works and authors, such as Rogers and Gillespie, are highlighted for their substantial citation impact. The study concludes that cancel culture is a complex, interdisciplinary field, continually evolving with significant scholarly interest and diverse research areas.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/4671293","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143513649","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 Is a Match!: Understanding the Perceived Effectiveness of Mobile Dating Applications for Forming Romantic Relationships","authors":"Michael R. Langlais,&nbsp;Celia T. Lee","doi":"10.1155/hbe2/6632908","DOIUrl":"https://doi.org/10.1155/hbe2/6632908","url":null,"abstract":"<p>Current research suggests that some emerging adults may not view mobile dating applications (MDAs) as helpful for forming relationships, rather seeing the applications as a means for sexual encounters or entertainment. The goal of this study is to examine young adults’ perceptions of the effectiveness of using MDAs for forming romantic relationships. Data come from a sample of college students (<i>N</i> = 165) and a community sample (<i>N</i> = 238) who completed an online survey regarding their experiences with MDAs, their motivations for using MDAs, and their perceptions of the effectiveness of MDAs in forming relationships. Participants were neutral regarding whether MDAs were useful in forming romantic relationships, although 41.1% of individuals who had ever used a MDA formed a serious romantic relationship with someone they met on a MDA. Time spent on MDAs was positively associated with participants’ perceived effectiveness of MDAs for forming relationships, but motivations for using MDAs did not predict participants’ perceptions of the effectiveness of MDAs for forming relationships, nor did MDA motivations moderate the association between MDA use and perceptions of MDA effectiveness for forming relationships. Although the motivations to use MDAs vary, time spent on MDAs is more strongly related to believing that MDAs are helpful for relationship formation. Suggestions for MDA use are discussed.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/6632908","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143490008","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":"Exploring Game-Based Inquiry Learning Application in a Maritime Science Museum: A Visitors’ Perspective","authors":"Sohaib Ahmed,&nbsp;Muhammad Zeeshan,&nbsp;David Parsons,&nbsp;Osama Rehman,&nbsp;Zeeshan Ahmed,&nbsp;Adnan Ahmad,&nbsp;Faizan Ahmad","doi":"10.1155/hbe2/8284489","DOIUrl":"https://doi.org/10.1155/hbe2/8284489","url":null,"abstract":"<p>This article brings together the concepts of emerging technologies, game-based learning (GBL), and inquiry learning to conduct a research study undertaken in a maritime science museum. Over the last decade, the potential benefits of emerging technologies have enabled game-based inquiry activities in formal and informal pedagogical contexts. The use of ontologies has also grown significantly in representing learning content. In the science museum literature, there are a few applications found wherein ontologies are used for generating adaptive learning content. However, no study has been found in the literature that targets GBL for museum inquiry activities through emerging technologies using an ontology-driven approach. This paper outlines the results and analyses of research conducted on an ontology-driven GBL inquiry application, MUSEON. For evaluation purposes, the M3 evaluation framework was used and tested with 86 random visitors to explore visitors’ perspectives regarding the effectiveness of MUSEON. The results were encouraging as 71.6% of visitors were satisfied with their learning experiences in a game-based environment. Further, the experimental group performed well (74.6% score) in comparison with the control group (56.4% score) during inquiry learning activities about the maritime science museum exhibits.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/8284489","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143481344","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":"Multimodal Data Fusion Framework for Early Prediction of Autism Spectrum Disorder","authors":"Mohemmed Sha,&nbsp;Hussein Al-Dossary,&nbsp;Mohamudha Parveen Rahamathulla","doi":"10.1155/hbe2/1496105","DOIUrl":"https://doi.org/10.1155/hbe2/1496105","url":null,"abstract":"<p>Autism spectrum disorder (ASD) is a condition that impacts a person’s emotional, cognitive, social, and physical well-being. Symptoms include challenges in communicating, struggles with social interactions, fixation, and repetitive actions. It is crucial to detect ASD in young children to minimize the impact of the disorder through various therapies focused on behavior, education, and family. The application of artificial intelligence has been important in detecting ASD in children. Previous studies have proposed different methods for identifying ASD, mainly using either demographic information or visual characteristics separately, without effectively combining both approaches. Our study presents a new approach to detecting ASD that takes into account both demographic and visual information. Therefore, a framework was suggested to assess different deep learning models for the early identification of ASD. The proposed framework consists of four modules such as stacked bidirectional long short-term memory (SBiLSTM) using attention mechanism for representing text/numerical features, multilevel 2D-convolutional neural network–gated recurrent units (ABM-2D-CNN–GRUs) using attention mechanism for extracting facial features, and multimodal factorized bilinear (MFB) pooling for combining the features. Moreover, the conditional probability approach calculates a distinct weight for each class based on specific features, leading to enhanced system performance. In conclusion, the AlexNet CNN has been proposed for prediction and its performance was assessed using the multiactivation function (MAF) framework. In this study, we examined the dataset for screening ASD and the dataset for children with autism. It is crucial to detect ASD at an early stage. We have identified features that can differentiate children with ASD from those without ASD. The suggested system achieves a higher accuracy rate of 99.2% compared to current systems. This outcome indicates that our system is better at predicting ASD compared to other advanced methods.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/1496105","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143439249","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":"“E-Motional Navigators”: Italian Adaptation and Validation of the Socio-Emotional e-Competencies Questionnaire (e-COM)","authors":"C. Cricenti,&nbsp;G. Lausi,&nbsp;B. Barchielli,&nbsp;E. Mari,&nbsp;J. Burrai,&nbsp;A. M. Giannini,&nbsp;A. Quaglieri","doi":"10.1155/hbe2/9976238","DOIUrl":"https://doi.org/10.1155/hbe2/9976238","url":null,"abstract":"<p>Given the importance of social–emotional skills in fostering highly prosocial behaviors and the increasing frequency by which relationships are established and maintained in cyberspace, several studies have been conducted focusing on the role of social-emotional skills developed in the online environment. However, the instruments developed to date have mainly considered “face-to-face” interactions, without considering the unique features of the virtual environment. The purpose of the present study was to validate the Italian translation of the Socio-Emotional e-Competencies Questionnaire. This instrument has been constructed to assess the knowledge, skills, and attitudes necessary to understand and manage emotions in the online environment for fostering positive relationships (e-competencies (e-COM)). The final sample consisted of 1096 adults (53.0% men) aged between 18 and 73 years. Factor analyses confirmed the original five-factor structure, which showed excellent fit indices (i.e., root mean square error of approximation (RMSEA), Tucker–Lewis index (TLI), and comparative fit index (CFI)). Correlation analyses with other instruments related to social–emotional competence (i.e., E-motions Questionnaire, Brief Emotional Intelligence Scale, and Difficulties in Emotion Regulation Scales) confirmed the convergent validity of the scale. Gender differences were also explored, in which women scored higher than men in all dimensions of e-COM except for emotional e-independence. Overall, this study demonstrated that the Italian version of e-COM is a reliable and valid tool for measuring social-emotional competence in a virtual context.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/9976238","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143439248","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":"Environmental Responsibility, Environmental Concerns, and Green Banking Adoption in Pakistan: Using the Unified Theory of Acceptance and Use of Technology","authors":"Abdul Majeed,&nbsp;Abdul Rasheed","doi":"10.1155/hbe2/7268813","DOIUrl":"https://doi.org/10.1155/hbe2/7268813","url":null,"abstract":"<p>The banking industry has been criticized for its role in contributing to climate change, whether directly or indirectly. In response to these concerns, the “green banking” concept has emerged as a proactive approach to mitigating banks’ environmental impact. However, there is still limited research on adopting green banking from customers’ perspectives in developing countries, notably Pakistan. Therefore, this research is aimed at exploring and examining the factors influencing customers’ intention to adopt green banking and their usage behavior by employing the unified theory of acceptance and use of technology (UTAUT). The UTAUT model was integrated with customers’ environmental responsibility and environmental concerns to identify the primary drivers of green banking proliferation. The research was carried out in Lahore, Pakistan, and involved 280 customers from private banks, and a convenience sampling technique was employed to gather data. The empirical findings have revealed that facilitating conditions and performance expectancy are the primary drivers of green banking proliferation, followed by environmental responsibility and environmental concerns. The study has discovered that behavioral intention plays a significant mediating role in the relationship between performance expectancy, effort expectancy, social influence, facilitating conditions, environmental responsibility, environmental concerns, and green banking usage behavior. The banking professionals should consider these factors when formulating and advancing green banking products or services and strategies to encourage the widespread adoption of green banking in conventional markets, fostering hope for a more sustainable future. The study provides new insights into customers’ inclination to adopt green banking and their subsequent usage behavior. This research will help to shape future studies in this particular field.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/7268813","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143404647","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":"Measuring Flow: Refining Research Protocols That Integrate Physiological and Psychological Approaches","authors":"Martin Wonders,&nbsp;Dan Hodgson,&nbsp;Nicola Whitton","doi":"10.1155/hbe2/6464984","DOIUrl":"https://doi.org/10.1155/hbe2/6464984","url":null,"abstract":"<p>Measuring flow, an optimal mental state defined by intense focus and immersion, can provide valuable insights into research on human engagement. However, a review of 69 studies identified significant methodological issues that could be undermining progress in this area of research. We discovered the use of eight nonvalidated psychological flow verification instruments (used in 33 studies), ambiguity and a lack of transparency in the interpretation and reporting of the verification results (36 studies), and a lack of screening of participants with only two studies screening for a disposition to experience a flow state. Additionally, despite the balance of challenge and skill being an essential precondition for inducing a flow state, 33 studies did not appropriately match flow-inducing activities to participant’s skill levels. These issues with measuring flow through self-assessment make it impossible to accurately validate hypothesised flow states using physiological approaches. To address these limitations, we propose a set of research protocol guidelines for integrating physiological and psychological measures to triangulate flow indicators. This provides a robust research framework that will allow the identification of physiological measures of flow that can provide a real-time objective alternative to subjective self-assessment instruments.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/6464984","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143404646","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":"Unveiling Autism’s Patterns: The Deep Dynamic Levenberg–Marquardt Approach","authors":"Mohemmed Sha,&nbsp;Abdullah Alqahtani,&nbsp;Shtwai Alsubai,&nbsp;Ashit Kumar Dutta","doi":"10.1155/hbe2/9258861","DOIUrl":"https://doi.org/10.1155/hbe2/9258861","url":null,"abstract":"<p>ASD (autism spectrum disorder) is a neurodevelopmental disorder affecting people’s social interaction, learning, and communication skills worldwide. It is a behaviorally distinct syndrome that is combined with several unknown and known disorders. The symptoms include sleep disorders, seizures, gastrointestinal tract symptoms, anxiety, wandering, hyperactivity/attention-deficit disorder, and obesity. Hence, early detection of ASD is significant. However, clinically standardized screening tests are considered a prolonged diagnostic time, which is prone to errors and also leads to a rise in medical costs. Therefore, to decrease the time required for diagnosis and improve the precision of the model, AI (artificial intelligence) (machine learning (ML)) techniques are used to complement other traditional methods. Hence, this study has proposed a modified deep dynamic Levenberg–Marquardt (DDLM) optimized approach, which enhances the accuracy and classifier’s precision for implementing binary classification of children with ASD and children without ASD and tackles the issues in early detection. The process starts by preprocessing the data using label encoding and feature scaling techniques for eradicating irrelevant and noisy data, and then classification proceeds by utilizing the modified DDLM model. The dataset used in the proposed model is an amalgamation of datasets, which are ASD meta-abundance and GSE113690_Autism_16S_rRNA. Additionally, a comparison of classifiers with three ML-based algorithms, namely, MLP (multilayer perceptron), NB (naïve Bayes), and XGBoost (extreme gradient boost), is performed to analyze the effectiveness of the proposed system in the binary classification of ASD. The efficacy of the proposed system is evaluated using performance factors such as specificity, precision, <i>F</i>1-score, accuracy, and recall.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/9258861","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143424041","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 Adoption of Open Source Software Among Universities in Iraq: The Moderating Role of AI Capability","authors":"Mustafa Moosa Qasim,&nbsp;Ali Raad Abdulkareem,&nbsp;Radhwan Sneesl","doi":"10.1155/hbe2/9937783","DOIUrl":"https://doi.org/10.1155/hbe2/9937783","url":null,"abstract":"<p>Open source software (OSS) is a trendy innovation that is being used by all organizations. However, the usage of OSS is still limited in higher education. This research examines the adoption of OSS among universities in Iraq, focusing on the moderating role of artificial intelligence (AI) capabilities. The research is aimed at exploring how factors such as perceived ease of use (PEOU), compatibility, perceived risk, security, and cost-effectiveness influence OSS adoption. Using a quantitative research methodology, data was collected from 272 university decision-makers and analysed using Smart PLS 4. The results of the study indicate that factors such as PEOU, compatibility, perceived risk, security, and cost-effectiveness have a significant positive influence on the adoption of OSS. The research findings provide valuable insights for decision-makers in university settings who are grappling with the intricate process of adopting OSS. These findings offer valuable insights for higher education institutions in Iraq and other developing regions seeking to adopt OSS.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/9937783","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143396966","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":"Social Identity Framework and Gender-Based Harassment in Digital Gaming Spaces: A Scoping Review","authors":"Oluwademilade A. Adefope,&nbsp;Fatih Bayraktar","doi":"10.1155/hbe2/1811677","DOIUrl":"https://doi.org/10.1155/hbe2/1811677","url":null,"abstract":"<p>Online harassment in digital gaming spaces has been a prevalent issue since the inception of gaming culture. Thus, this scoping review is aimed at understanding the gamer identity through the lens of the social identity framework and how these factors potentially contribute to the perpetration of gender-based harassment. Following guidelines from the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews (PRISMA-ScR), the following research databases were searched for relevant documents between March and April 2024: SCOPUS, PubMed, Web of Science, and APA journals. After filtering for replications, relevance, and full-text accessibility, a total of 36 articles were included in the final analysis and review. Regarding the four dimensions of social identity framework, 81% (<i>n</i> = 30) of the reviewed articles discussed perception of intergroup context, 62% (<i>n</i> = 23) discussed in-group attraction, 35% (<i>n</i> = 13) discussed depersonalization, and finally 30% (<i>n</i> = 11) mentioned interdependency beliefs. Overall, gender-based harassment in digital gaming is an issue not simply perpetuated by male gamers against female players but also by women against their own in-group, and it results in communities that are extremely hostile and toxic toward out-groups, perceiving diversity and inclusivity as an attack on gaming culture.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/1811677","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143396965","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}