IEEE Transactions on Human-Machine Systems最新文献_第2页

Visual Imagery-Based Brain-Computer Interaction Paradigms and Neural Encoding and Decoding 基于视觉图像的脑机交互范式与神经编码解码

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2025-04-07 DOI: 10.1109/THMS.2025.3548943

Lei Zhao;Yao Liu;Jing'ao Gao;Peng Ding;Fan Wang;Anmin Gong;Wenya Nan;Yunfa Fu;Tianwen Li

引用次数: 0

Can the Human Body be a Source of Energy Harvesting?—Present and Future Prospective 人体能成为能量收集的来源吗？-现在和未来的展望

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2025-04-07 DOI: 10.1109/THMS.2025.3552662

Richa Sharma

{"title":"Can the Human Body be a Source of Energy Harvesting?—Present and Future Prospective","authors":"Richa Sharma","doi":"10.1109/THMS.2025.3552662","DOIUrl":"https://doi.org/10.1109/THMS.2025.3552662","url":null,"abstract":"In this era, looking for alternative energy harvesting methods to reduce global warming and conserve natural resources is necessary. Every country has been looking for new renewable energy resources. Human beings can act as a good energy source, from a single heartbeat to every tiny movement or activity of the human body. With bioelectronics and wearable device advancements, energy production from the human body has become a promising research area. Recently, several researchers have been working toward harvesting/producing energy from human beings and trying to translate that into electrical form, which wearable and implantable medical devices could use in the long run. This review article discusses different energy sources and harvesting techniques from the human body. The promising sources for energy harvesting are human movements, such as walking, running, etc., upper-limb movement, heartbeat, heat transmission, and breathing, which helps explore diverse types of energies, such as chemical, thermal, kinetic, mechanical, and other energies that can be harvested from the human body. This review would be helpful for the development of self-sustained implants, wearables, and health-tracking medical devices.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"55 3","pages":"460-473"},"PeriodicalIF":3.5,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144492392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cybersecurity Challenge Analysis of Work-From-Anywhere (WFA) and Recommendations Guided by a User Study 基于用户研究的网络安全挑战分析及建议

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2025-04-04 DOI: 10.1109/THMS.2025.3552231

Mohammed Mahyoub;Ashraf Matrawy;Kamal Isleem;Olakunle Ibitoye

{"title":"Cybersecurity Challenge Analysis of Work-From-Anywhere (WFA) and Recommendations Guided by a User Study","authors":"Mohammed Mahyoub;Ashraf Matrawy;Kamal Isleem;Olakunle Ibitoye","doi":"10.1109/THMS.2025.3552231","DOIUrl":"https://doi.org/10.1109/THMS.2025.3552231","url":null,"abstract":"Many organizations were forced to quickly transition to the work-from-anywhere (WFA) model as a necessity to continue with their operations and remain in business despite the restrictions imposed during the COVID-19 pandemic. Many decisions were made in a rush, and cybersecurity decency tools were not in place to support this transition. In this article, we first attempt to uncover some challenges and implications related to the cybersecurity of the WFA model. Second, we conducted an online user study to investigate the readiness and cybersecurity awareness of employers and their employees who shifted to work remotely from anywhere. The user study questionnaire addressed different resilience perspectives of individuals and organizations. The collected data includes 45 responses from remotely working employees of different organizational types: Universities, government, private, and nonprofit organizations. Despite the importance of security training and guidelines, it was surprising that many participants had not received them. A robust communication strategy is necessary to ensure that employees are informed and updated on security incidents that the organization encounters. In addition, there is an increased need to pay attention to the security-related attributes of employees, such as their behavior, awareness, and compliance. Finally, we outlined best practice recommendations and mitigation tips guided by the study results to help individuals and organizations resist cybercrime and fraud and mitigate WFA-related cybersecurity risks.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"55 3","pages":"428-439"},"PeriodicalIF":3.5,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144492264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SignEvaluator: A Gesture and Sentence Characteristic-Based Sign Language Quality Assessment System 基于手势和句子特征的手语质量评估系统

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2025-04-04 DOI: 10.1109/THMS.2025.3552476

Zhiwen Zheng;Qingshan Wang;Qi Wang;Dazhu Deng

引用次数: 0

Impact of Advanced Driving Assistance Warnings Under Distracted and Time Constraint Conditions on Motorized Two-Wheeler Rider Performance 分心和时间约束条件下高级驾驶辅助警告对机动两轮车驾驶员性能的影响

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2025-03-27 DOI: 10.1109/THMS.2025.3550253

Monik Gupta;Nagendra Rao Velaga

{"title":"Impact of Advanced Driving Assistance Warnings Under Distracted and Time Constraint Conditions on Motorized Two-Wheeler Rider Performance","authors":"Monik Gupta;Nagendra Rao Velaga","doi":"10.1109/THMS.2025.3550253","DOIUrl":"https://doi.org/10.1109/THMS.2025.3550253","url":null,"abstract":"This study considered the speed hump as a spring, inducing psychological pressure on the rider to regulate their speed. The experiments were conducted on a motorized two-wheeler simulator in a randomized order in four situations: 1) normal, 2) distraction, 3) time pressure, and 4) distraction under time pressure. Naturalistic riding data was also collected to validate the results in normal riding conditions. First, seven latent classes were developed to understand the variation in speed of the rider along the road stretch as the rider approached or departed away from the speed hump. Further, using the spring-mass block theory, the riders' speed was considered to be the combination of constant base speed and varying simple harmonic motion speed. The spring-mass block theory was validated by developing univariate Bayesian regression models. Finally, the impact of inadequate marking and driving assistance systems such as advanced warning, individual vehicle attributes, lifestyle, and road crash history on the speed profile has been quantified using linear mixed effect models. Furthermore, the speed profile equations were validated using field data. The results revealed that unmarked speed humps were less detectable as the riders responded seven meters late to inadequately visible speed humps compared to marked speed humps. The advanced warning helped in smoothening the speed profile of the rider, which is crucial in avoiding crashes due to the speed hump. Overall, this study can further help in improving the adaptability of the advanced driver assistance systems and evidence-based policy making of speed hump placement to minimize road crashes.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"55 3","pages":"440-449"},"PeriodicalIF":3.5,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144492304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

EEG Features to Quantify the NASA-TLX Factors of Cognitive Workload 脑电特征量化认知负荷的NASA-TLX因素

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2025-03-26 DOI: 10.1109/THMS.2025.3546515

Nusrat Z. Zenia;Stanley Tarng;Lida Ghaemi Dizaji;Yaoping Hu

{"title":"EEG Features to Quantify the NASA-TLX Factors of Cognitive Workload","authors":"Nusrat Z. Zenia;Stanley Tarng;Lida Ghaemi Dizaji;Yaoping Hu","doi":"10.1109/THMS.2025.3546515","DOIUrl":"https://doi.org/10.1109/THMS.2025.3546515","url":null,"abstract":"Measuring cognitive workload (CWL) is crucial for dynamic task reallocation (i.e., adaptation) between a human and a machine in a human-machine system (HMS). A conventional measurement of the CWL is based on subjectively reported scores about the six factors of the NASA Task Load Index (NASA-TLX) questionnaire. The questionnaire cannot however capture real-time fluctuations of the factors for an objective quantification. Additionally, each of the factors is associated with distinct activities and can be influenced by individual characteristics and/or task contexts. Such HMS adaptation should thus consider the objective quantification of each factor. So far, the quantification remains largely unexplored, while existing studies reveal a potential use of an electroencephalography (EEG) in measuring the CWL levels (e.g., high, medium, and low). Herein, we presented a pioneering study to propose EEG features for quantifying the factors. The pertinence of the features was demonstrated by their strong correlations with the scores of the factors across three distinct cases of visuomotor tasks. The pertinence is the stepping stone toward factor-based interventions in enabling HMS adaptation.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"55 3","pages":"372-382"},"PeriodicalIF":3.5,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144492330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Survey on Hybrid HumanArtificial Intelligence in the Metaverse 元宇宙中混合人-人工智能研究综述

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2025-03-26 DOI: 10.1109/THMS.2025.3545246

Jing Zhang;Sha Li;Hongmei Wang;Wenxi Wang;Liming Chen;Yueliang Wan;Huansheng Ning

{"title":"A Survey on Hybrid HumanArtificial Intelligence in the Metaverse","authors":"Jing Zhang;Sha Li;Hongmei Wang;Wenxi Wang;Liming Chen;Yueliang Wan;Huansheng Ning","doi":"10.1109/THMS.2025.3545246","DOIUrl":"https://doi.org/10.1109/THMS.2025.3545246","url":null,"abstract":"Hybrid human–artificial intelligence (H-AI) in the metaverse is facing a growing trend in theoretical research and practical applications. Based on 101 academic papers published from 1996–2024, this article identifies research themes using thematic analysis, technological analysis, comparative analysis, and knowledge integration. The results show that academic interest and attention to H-AI have gradually increased since 2020. Through the results of thematic analysis, this article synthesizes five applications of H-AI domains: industry field, medical field, entertainment field, transportation field, and other fields. By analyzing the impact of H-AI on the integration of the virtual and real world, the role of H-AI in both the virtual and real worlds and the improvements over artificial intelligence will be outlined. This article also identifies challenges and responses that need further attention: disputes over responsibility ownership, bubble issues, lack of trust, and high-cost issues. This article looks ahead to add new skills to the metaverse platform, drive the metaverse as the next wave of the digital economy, promote the new field of metaverse combined with traditional, increase metaverse assistance to people with disabilities, and promote the systematization of the metaverse. This article helps enhance researchers' and practitioners' understanding of H-AI in the metaverse while raising awareness about the current research frontiers and potential future directions.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"55 3","pages":"394-407"},"PeriodicalIF":3.5,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144492394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IEEE Transactions on Human-Machine Systems Information for Authors IEEE人机系统信息汇刊

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2025-03-25 DOI: 10.1109/THMS.2025.3553008

引用次数: 0

IEEE Systems, Man, and Cybernetics Society Information IEEE系统、人与控制论学会信息

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2025-03-25 DOI: 10.1109/THMS.2025.3553004

引用次数: 0

Call for Papers: IEEE Transactions on Human-Machine Systems 征稿：电气和电子工程师学会人机系统论文集

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2025-03-25 DOI: 10.1109/THMS.2025.3546139

引用次数: 0