Human Behavior and Emerging Technologies最新文献_第9页

Rape Myth Acceptance in the Digital Age: The Effects of Using Dating Apps and the Moderation Role of Gender 数字时代对强奸神话的接受：使用约会软件的影响和性别的调节作用

IF 4.3

Human Behavior and Emerging Technologies Pub Date : 2025-01-10 DOI: 10.1155/hbe2/9091296

Luye Li

引用次数: 0

A Scoping Review of Literature on Deep Learning Techniques for Face Recognition 深度学习技术用于人脸识别的文献综述

IF 4.3

Human Behavior and Emerging Technologies Pub Date : 2025-01-08 DOI: 10.1155/hbe2/5979728

Andisani Nemavhola, Serestina Viriri, Colin Chibaya

{"title":"A Scoping Review of Literature on Deep Learning Techniques for Face Recognition","authors":"Andisani Nemavhola, Serestina Viriri, Colin Chibaya","doi":"10.1155/hbe2/5979728","DOIUrl":"https://doi.org/10.1155/hbe2/5979728","url":null,"abstract":"Deep learning has led to the creation of facial recognition technologies using convolutional neural networks (CNNs). This preliminary study explores the application of CNN architectures in face recognition to gain a deeper understanding of the challenges and methodologies in the field. The study systematically reviewed relevant literature using the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) framework. Out of 3622 eligible papers, 266 were included in the review, with 47% proposing new techniques and 1% focusing on method implementation and comparison. Most studies used images rather than video as training or testing data, with 78% using clean data and only 7% utilizing occluded and clean data. It was observed that traditional CNN architectures were predominantly employed. The study identified a lack of research on the implementation and definition of CNN architectures, the development of facial recognition models using both clean and occluded images and videos, and the exploration of nontraditional CNN architectures. The challenges affecting facial recognition included occlusion, distance from the camera, camera angle, and lighting conditions. This preliminary assessment provides an insight into the use of CNN in face recognition and suggests that nontraditional CNN architectures could be further explored in future research.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/5979728","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113263","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

A Context-Aware, Psychotherapeutic Music Recommender System for Commuters 一个情境感知，心理治疗的通勤者音乐推荐系统

IF 4.3

Human Behavior and Emerging Technologies Pub Date : 2025-01-07 DOI: 10.1155/hbe2/4080027

Umar Mahmud, Shariq Hussain, Komal Shahzad, Shazia Iffet, Nazir Ahmed Malik, Ibrahima Kalil Toure

{"title":"A Context-Aware, Psychotherapeutic Music Recommender System for Commuters","authors":"Umar Mahmud, Shariq Hussain, Komal Shahzad, Shazia Iffet, Nazir Ahmed Malik, Ibrahima Kalil Toure","doi":"10.1155/hbe2/4080027","DOIUrl":"https://doi.org/10.1155/hbe2/4080027","url":null,"abstract":"The advancements in urban commuting have enabled ease of travel for commuters. However, in the underdeveloped world, commuting has become a challenge for the mental health of commuters. A commuter who travels through public transport or their vehicle can develop depression and anxiety due to traffic congestion and unwanted delays. Symptoms of depression and anxiety can be mitigated through psychotherapeutic music. However, this music requires quiet rooms where a patient could listen to them. This can be overcome by playing music available on online streaming services via the commuters’ smart devices. The data from the sensors embedded in a commuter’s smart device is gathered and is termed the current context. The context includes both the data from the sensors and deduced data that is acquired through sensor services. The current context is then processed to determine the context of the commuter. The context is a label that is the outcome of a machine learning algorithm as part of context processing. The authors have utilized Bayesian probability to classify the current context of the commuter. Based on the classification outcome, which is termed context, a suitable playlist is generated and played on the commuters’ smart devices. A feedback loop enables improvement in classification as well as playlist generation. This proposed mechanism would improve the mental health of commuters including students, workers, and passengers, traveling to work and back frequently.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/4080027","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113010","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

Towards Investigating Innovation Perceptions of Leaders in the ICT Sector of Pakistan 调查巴基斯坦信息通信技术部门领导人的创新观念

IF 4.3

Human Behavior and Emerging Technologies Pub Date : 2025-01-04 DOI: 10.1155/hbe2/9948672

Eram Abbasi, Anwar Ahmed Khan, Muhammad Shoaib Siddiqui, Shama Siddiqui

{"title":"Towards Investigating Innovation Perceptions of Leaders in the ICT Sector of Pakistan","authors":"Eram Abbasi, Anwar Ahmed Khan, Muhammad Shoaib Siddiqui, Shama Siddiqui","doi":"10.1155/hbe2/9948672","DOIUrl":"https://doi.org/10.1155/hbe2/9948672","url":null,"abstract":"Innovation in the Information and Communication Technology (ICT) sector is critical for organizational growth and societal sustainability. However, the innovation capabilities of developing countries, particularly in the ICT sector, remain underexplored. This study is aimed at assessing the perceptions of senior leadership within Pakistan’s ICT sector to identify the factors contributing to the limited scope of innovation. Through qualitative interviews with senior leaders from various ICT organizations, this research explores their views on the definition, types, and driving factors of innovation. Most interview participants reported that the major type of innovation practiced at the ICT sector of Pakistan is “product,” the level is “partial replication,” and the major driving source is “factors external to the organization.” Based on these insights, we developed an innovation readiness framework (IRF) to help organizations enhance their innovation capacity. IRF is expected to provide actionable strategies for organizations to assess their current innovation practices, identify gaps, and adopt a structured approach to enhance both product development and operational processes. By addressing sector-specific challenges such as limited resources and regulatory barriers, the IRF is aimed at empowering organizations to move from replication to more original, impactful innovations. Hence, implementing this framework is expected to improve the sector’s competitiveness, drive sustainable growth, and contribute meaningfully to societal advancement by aligning with broader development goals.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/9948672","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112042","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

Intellectual Capital and Social Media Analytics: The Ripple Effect on Competitive Intelligence and Banking Entrepreneurship 智力资本和社会媒体分析：竞争情报和银行创业的连锁反应

IF 4.3

Human Behavior and Emerging Technologies Pub Date : 2024-12-30 DOI: 10.1155/hbe2/6754824

Khaled Saleh Al-Omoush, Nawaf Salem Alghusin

{"title":"Intellectual Capital and Social Media Analytics: The Ripple Effect on Competitive Intelligence and Banking Entrepreneurship","authors":"Khaled Saleh Al-Omoush, Nawaf Salem Alghusin","doi":"10.1155/hbe2/6754824","DOIUrl":"https://doi.org/10.1155/hbe2/6754824","url":null,"abstract":"This study explores intellectual capital’s impact on social media analytics adoption in the banking industry. It also examines the impact of social media analytics on competitive intelligence and banking entrepreneurship. Furthermore, this study explores the mediating role of competitive intelligence in the impact of social media analytics on banking entrepreneurship. Data were collected from 320 bank managers and specialists and analyzed using Smart PLS, Version 4. The findings indicated that human, structural, and relational capital significantly impact the adoption of social media analytics. This study also revealed that social media analytics significantly impacts competitive intelligence and banking entrepreneurship. Furthermore, the results showed a significant mediating role of competitive intelligence in the impact of social media analytics on banking entrepreneurship. This study provides invaluable contributions for both academic discourse and industry professionals. It thoroughly investigates the interrelationships among intellectual capital, social media analytics, competitive intelligence, and banking entrepreneurship. This study advances our understanding of how these capabilities operate within the ever-changing banking realm. Moreover, this study provides novel practical insights for bank managers and policymakers, emphasizing the importance of intellectual capital as well as the contributions of social media analytics and competitive intelligence in driving banking entrepreneurship.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2024 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/6754824","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143121081","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

Blockchain-Based Electronic Health Record: Systematic Literature Review 基于区块链的电子健康记录：系统性文献综述

IF 4.3

Human Behavior and Emerging Technologies Pub Date : 2024-12-27 DOI: 10.1155/hbe2/4734288

Nehal Ettaloui, Sara Arezki, Taoufiq Gadi

{"title":"Blockchain-Based Electronic Health Record: Systematic Literature Review","authors":"Nehal Ettaloui, Sara Arezki, Taoufiq Gadi","doi":"10.1155/hbe2/4734288","DOIUrl":"https://doi.org/10.1155/hbe2/4734288","url":null,"abstract":"Electronic health records (EHRs) represent an innovative approach to constructing a distributed data analysis framework for managing health data within its original location. The integration of blockchain technology into EHR systems offers substantial improvements in security, privacy, and transparency, thus enhancing overall management efficiency. Our research spanned from January 2017 to December 2022, conducting a meticulous systematic literature review across reputable databases such as Scopus, IEEE Xplore, Springer, PubMed Central, and ScienceDirect. This comprehensive search, finalized in December 2022, utilized stringent inclusion and exclusion criteria to ensure the selection of high-quality articles, thereby guaranteeing transparency and unbiased results. Through this systematic review, our primary objective was to explore, assess, and analyze the diverse architectures, proposed models, limitations, and future trajectories of blockchain-enabled EHR systems. Our emphasis was on highlighting blockchain’s adaptability and robustness in healthcare contexts while identifying potential challenges and areas for further investigation. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines, we scrutinized more than 600 scientific studies, culminating in the selection of 31 articles that met our rigorous inclusion standards. Our technical and architectural evaluations delved into critical aspects such as privacy, security, authentication, availability, data control, storage, and resource consumption. Our research outcomes underscore the effective resolution of security, privacy, and availability concerns in EHRs through blockchain integration. However, we observed potential trade-offs, including impacts on performance, resource utilization, and regulatory compliance. To address these complexities, we introduce an integrated framework designed to mitigate key challenges and deliver substantial value within this domain.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2024 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/4734288","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143119560","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

Antecedents of the Intention to Use Implantable Technologies for Nonmedical Purposes: A Mixed-Method Evaluation 将植入式技术用于非医疗目的的意图的前提：一种混合方法评估

IF 4.3

Human Behavior and Emerging Technologies Pub Date : 2024-12-19 DOI: 10.1155/hbe2/1064335

Jorge de Andrés-Sánchez, Mario Arias-Oliva, Mar Souto-Romero

{"title":"Antecedents of the Intention to Use Implantable Technologies for Nonmedical Purposes: A Mixed-Method Evaluation","authors":"Jorge de Andrés-Sánchez, Mario Arias-Oliva, Mar Souto-Romero","doi":"10.1155/hbe2/1064335","DOIUrl":"https://doi.org/10.1155/hbe2/1064335","url":null,"abstract":"This study investigated the rise of implantable or cyborg technologies, also known as insideables, which offer the potential to improve health-related conditions and enhance the capabilities of healthy individuals. This research focused on the acceptance of insideables among university students in Spain, utilizing the unified theory of acceptance and use of technology (UTAUT) framework along with analytical tools such as partial least squares structural equation modelling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA). The PLS-SEM analysis revealed that factors such as performance expectancy, effort expectancy, and social influence positively influenced the intention to use insideables. However, the fsQCA revealed that no single variable is a necessary condition for explaining technology acceptance or rejection. Instead, a combination of constructs is needed to understand both intention to use and rejection. Configurational analysis emphasized the importance of factors such as performance expectancy, social influence, and hedonic motivation in explaining technology acceptance, whereas effort expectancy and perceived risk were less conclusive in their impact on behavioral intention. Moreover, the research revealed that the configurations related to the acceptance and rejection of insideables are asymmetrical. This study sheds light on the complex dynamics of implantable technology acceptance and provides valuable insights into the factors influencing its adoption. From a theoretical perspective, the sequential use of both correlational and configurational methods within the UTAUT framework allows us to gain a deeper understanding of the reasons behind the adoption of emerging technology rather than using only one data analysis methodology.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2024 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/1064335","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142862052","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

Applying ChatGPT and AI-Powered Tools to Accelerate Evidence Reviews 应用 ChatGPT 和人工智能工具加速证据审查

IF 4.3

Human Behavior and Emerging Technologies Pub Date : 2024-12-06 DOI: 10.1155/2024/8815424

Kien Nguyen-Trung, Alexander K. Saeri, Stefan Kaufman

引用次数: 0

Application of Artificial Neural Networks to Predict the Use of Mobile Learning by University Students 应用人工神经网络预测大学生移动学习使用情况

IF 4.3

Human Behavior and Emerging Technologies Pub Date : 2024-12-03 DOI: 10.1155/hbe2/1518987

Alejandro Valencia-Arias, Julián Alberto Uribe-Gómez, Evelyn Flores-Siapo, Lucia Palacios-Moya, Ada Gallegos, Ezequiel Martínez Rojas

{"title":"Application of Artificial Neural Networks to Predict the Use of Mobile Learning by University Students","authors":"Alejandro Valencia-Arias, Julián Alberto Uribe-Gómez, Evelyn Flores-Siapo, Lucia Palacios-Moya, Ada Gallegos, Ezequiel Martínez Rojas","doi":"10.1155/hbe2/1518987","DOIUrl":"https://doi.org/10.1155/hbe2/1518987","url":null,"abstract":"The use of mobile devices has become pervasive in recent times, constituting an essential component of daily life. Mobile phones have enabled certain minorities to attain access to the Internet, news, and knowledge, thereby indicating their potential to reduce the digital divide experienced by ethnic groups and those from low socioeconomic backgrounds. This phenomenon has generated academic interest in the utilization of mobile devices to facilitate learning, as these devices merge the lines between computing and communications, giving access to both. The objective of this study is to ascertain the inclination of Peruvian higher education students to use mobile devices for learning. This will be achieved through the use of an anticipated model based on artificial neural networks (ANNs). ANNs are supervised machine learning techniques that imitate the organization and operation of the human brain to process data and render decisions. ANNs are computer systems that can learn from observation and experience, much like the human brain, and can subsequently use the acquired knowledge to recognize patterns and make predictions. The objective of this study is to assess the intention of Peruvian tertiary education students to employ mobile devices for learning by creating a predictive model that relies on ANNs. Among the main findings, it is evident that the ANN with optimal performance has 10 neurons within its hidden layer. Factors such as experience with virtual subjects, frequency of use, and coverage are crucial for the two intention variables. This enables directed prediction efforts towards the most significant variables identified by their importance.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2024 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/1518987","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142763951","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 Changing Importance of Competence Generationally: Developing Trust, Online and Offline 能力的重要性代代相传：在线和离线开发信任

IF 4.3

Human Behavior and Emerging Technologies Pub Date : 2024-11-25 DOI: 10.1155/2024/5822992

Brandon C. Bouchillon

{"title":"The Changing Importance of Competence Generationally: Developing Trust, Online and Offline","authors":"Brandon C. Bouchillon","doi":"10.1155/2024/5822992","DOIUrl":"https://doi.org/10.1155/2024/5822992","url":null,"abstract":"Generalized trust has reached new lows in America, with young Americans now trusting the least. This complicates the process of interacting with new people, which formerly contributed to trust. The present study thus tested whether networked modes of social contact and social learning might add to interpersonal competence and generalized trust. Responses to a national web survey were matched to US Census percentages for sex, race, ethnicity, age, and region. The sample resembles the US population demographically and is theoretically large enough to represent it (N = 1500). Data were analyzed using SPSS and PROCESS. Diverse contact in person was unrelated to trust in general and only contributed to trust for respondents 70 or older when particular age groups were considered. Interpersonal competence, on the other hand, contributed to trust overall, and for respondents 18–29, 40–49, and 50–59. Feeling capable of interacting with new people in person has become more important than the contact itself for trusting, as a way of generating numerous diverse interactions over time. Networked efforts of sociability and posting behavior were also related to trust here. Posting related to trust for respondents 18–29, while sociability contributed to trust for those 18–29, 30–39, and 50–59. Social presence (i.e., sensing immediacy and intimacy in networked settings) related to trust overall and for those 18–29 and 40–49. Computer-mediated communication (CMC) competence contributed to trust indirectly, by way of social presence, and the indirect effect was the largest for the youngest users surveyed. CMC competence had a larger association with interpersonal competence for younger generations as well, which became a second indirect path to trusting. Different age groups draw trust from different places, and trust interventions should also differ with age.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2024 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/5822992","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142737433","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