Pub Date : 2025-04-18DOI: 10.1109/THMS.2025.3550919
Nan Ma;David Cheneler;Guangping He;Junjie Yuan;Gui-Bin Bian
Redundantly actuated parallel mechanisms (RAPMs) have been widely adopted in advanced robotic systems and precision machine tools. It has been demonstrated that redundant actuation can improve the performance of mechatronic systems but introduce challenges with respect to control. One main difficulty is in establishing an accurate dynamic model of the RAPM system. With an inaccurate dynamic model, the torque applied by the actuators will be incorrect, leading to increased antagonistic forces in the system. To solve this problem, a novel coordinated adaptive impedance control approach based on a new adaptive impedance control law is presented here, along with proof of the stability of the closed-loop system. The control algorithm has been validated experimentally by a prototype cable-driven parallel manipulator. It can be seen from the experimental results that the proposed control method is an effective way to correct the antagonistic forces of the system, thus facilitating the improvement of its dynamic performance and its efficacy in different applications.
{"title":"Coordinated Adaptive Impedance Control of Redundantly Actuated Parallel Manipulators","authors":"Nan Ma;David Cheneler;Guangping He;Junjie Yuan;Gui-Bin Bian","doi":"10.1109/THMS.2025.3550919","DOIUrl":"https://doi.org/10.1109/THMS.2025.3550919","url":null,"abstract":"Redundantly actuated parallel mechanisms (RAPMs) have been widely adopted in advanced robotic systems and precision machine tools. It has been demonstrated that redundant actuation can improve the performance of mechatronic systems but introduce challenges with respect to control. One main difficulty is in establishing an accurate dynamic model of the RAPM system. With an inaccurate dynamic model, the torque applied by the actuators will be incorrect, leading to increased antagonistic forces in the system. To solve this problem, a novel coordinated adaptive impedance control approach based on a new adaptive impedance control law is presented here, along with proof of the stability of the closed-loop system. The control algorithm has been validated experimentally by a prototype cable-driven parallel manipulator. It can be seen from the experimental results that the proposed control method is an effective way to correct the antagonistic forces of the system, thus facilitating the improvement of its dynamic performance and its efficacy in different applications.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"55 3","pages":"323-332"},"PeriodicalIF":3.5,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144492382","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}
Pub Date : 2025-04-08DOI: 10.1109/THMS.2025.3553015
Yossef Saad;Joachim Meyer
Decision support systems (DSSs) increasingly assist human users who should consider their output and combine it with independently available information when making a decision. Some decision-making events are dynamic, requiring a series of decisions in interdependent stages. In them, users may not use DSS advice optimally, possibly compromising task performance and preventing the DSS from fulfilling its purpose. We report an experiment in which participants made decisions in dynamic events, observing the output from a DSS. They largely followed normative decision-making rules, but decisions were based on the DSS's perceived, and not necessarily the actual, accuracy. Participants mostly made up their minds in the first stage, and using the DSS typically lengthened the time to reach a decision. These findings should be considered when designing DSS and related regulations and operational processes so people can utilize the DSS's full potential.
{"title":"Aided Decision Processes in Dynamic Events: Measuring Decision Support Systems' Influence and Human Responsibility","authors":"Yossef Saad;Joachim Meyer","doi":"10.1109/THMS.2025.3553015","DOIUrl":"https://doi.org/10.1109/THMS.2025.3553015","url":null,"abstract":"Decision support systems (DSSs) increasingly assist human users who should consider their output and combine it with independently available information when making a decision. Some decision-making events are dynamic, requiring a series of decisions in interdependent stages. In them, users may not use DSS advice optimally, possibly compromising task performance and preventing the DSS from fulfilling its purpose. We report an experiment in which participants made decisions in dynamic events, observing the output from a DSS. They largely followed normative decision-making rules, but decisions were based on the DSS's perceived, and not necessarily the actual, accuracy. Participants mostly made up their minds in the first stage, and using the DSS typically lengthened the time to reach a decision. These findings should be considered when designing DSS and related regulations and operational processes so people can utilize the DSS's full potential.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"55 3","pages":"408-417"},"PeriodicalIF":3.5,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10958188","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144492391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-07DOI: 10.1109/THMS.2025.3548943
Lei Zhao;Yao Liu;Jing'ao Gao;Peng Ding;Fan Wang;Anmin Gong;Wenya Nan;Yunfa Fu;Tianwen Li
Imagination is a significant mental activity of human beings that can serve as a brain-computer interaction (BCI) paradigm, and visual imagery (VI) has become a relatively new BCI paradigm. VI is the ability to form visual representations in short-term memory without retinal input, offering users advantages like safety and rich content. It is anticipated to address the limitations of traditional BCI paradigms. However, further research is needed in the neural mechanisms, paradigm design, neural encoding, and decoding of VI-based BCI. Despite the existence of experimental studies on VI-BCI, there is a shortage of comprehensive reviews. This article provides a review of the neural mechanisms of VI, and explores paradigm designs for VI-BCI. Additionally, it covers neural encoding and decoding methods. Finally, the existing issues and suggested future research directions for VI-BCI are identified. The aim is to inspire further research in the field of VI-BCI.
{"title":"Visual Imagery-Based Brain-Computer Interaction Paradigms and Neural Encoding and Decoding","authors":"Lei Zhao;Yao Liu;Jing'ao Gao;Peng Ding;Fan Wang;Anmin Gong;Wenya Nan;Yunfa Fu;Tianwen Li","doi":"10.1109/THMS.2025.3548943","DOIUrl":"https://doi.org/10.1109/THMS.2025.3548943","url":null,"abstract":"Imagination is a significant mental activity of human beings that can serve as a brain-computer interaction (BCI) paradigm, and visual imagery (VI) has become a relatively new BCI paradigm. VI is the ability to form visual representations in short-term memory without retinal input, offering users advantages like safety and rich content. It is anticipated to address the limitations of traditional BCI paradigms. However, further research is needed in the neural mechanisms, paradigm design, neural encoding, and decoding of VI-based BCI. Despite the existence of experimental studies on VI-BCI, there is a shortage of comprehensive reviews. This article provides a review of the neural mechanisms of VI, and explores paradigm designs for VI-BCI. Additionally, it covers neural encoding and decoding methods. Finally, the existing issues and suggested future research directions for VI-BCI are identified. The aim is to inspire further research in the field of VI-BCI.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"55 3","pages":"358-371"},"PeriodicalIF":3.5,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144492262","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}
Pub Date : 2025-04-07DOI: 10.1109/THMS.2025.3552662
Richa Sharma
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.
{"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}
Pub Date : 2025-04-04DOI: 10.1109/THMS.2025.3552231
Mohammed Mahyoub;Ashraf Matrawy;Kamal Isleem;Olakunle Ibitoye
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.
{"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}
Pub Date : 2025-04-04DOI: 10.1109/THMS.2025.3552476
Zhiwen Zheng;Qingshan Wang;Qi Wang;Dazhu Deng
Sign language is a basic form of communication for hearing-impaired individuals. An evaluation of the quality of sign language gestures helps improve the efficiency of sign language learning. This article proposes SignEvaluator, a sign language quality assessment system with a movement quality feature extractor and assessment generator. In the former, three quality measures are proposed for gestures and sentences. The trajectory of the palm is mapped onto position space with kernel density estimation. For finger movements, the instantaneous energy and curvature of the gesture signals are extracted with Bézier curves. Meanwhile, the performer's familiarity with gestures is indicated by the movement fluency metric of sentences. In the assessment generator, the final assessment results are calculated by combining the weights of different quality metrics and the confidence of different gesture levels. The results indicate that SignEvaluator obtained an F1-score of 0.89 for 702 sentences collected from 20 performers.
{"title":"SignEvaluator: A Gesture and Sentence Characteristic-Based Sign Language Quality Assessment System","authors":"Zhiwen Zheng;Qingshan Wang;Qi Wang;Dazhu Deng","doi":"10.1109/THMS.2025.3552476","DOIUrl":"https://doi.org/10.1109/THMS.2025.3552476","url":null,"abstract":"Sign language is a basic form of communication for hearing-impaired individuals. An evaluation of the quality of sign language gestures helps improve the efficiency of sign language learning. This article proposes SignEvaluator, a sign language quality assessment system with a movement quality feature extractor and assessment generator. In the former, three quality measures are proposed for gestures and sentences. The trajectory of the palm is mapped onto position space with kernel density estimation. For finger movements, the instantaneous energy and curvature of the gesture signals are extracted with Bézier curves. Meanwhile, the performer's familiarity with gestures is indicated by the movement fluency metric of sentences. In the assessment generator, the final assessment results are calculated by combining the weights of different quality metrics and the confidence of different gesture levels. The results indicate that SignEvaluator obtained an F1-score of 0.89 for 702 sentences collected from 20 performers.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"55 3","pages":"418-427"},"PeriodicalIF":3.5,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144492268","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}
Pub Date : 2025-03-27DOI: 10.1109/THMS.2025.3550253
Monik Gupta;Nagendra Rao Velaga
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.
{"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}
Pub Date : 2025-03-26DOI: 10.1109/THMS.2025.3546515
Nusrat Z. Zenia;Stanley Tarng;Lida Ghaemi Dizaji;Yaoping Hu
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.
{"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}
Pub Date : 2025-03-26DOI: 10.1109/THMS.2025.3545246
Jing Zhang;Sha Li;Hongmei Wang;Wenxi Wang;Liming Chen;Yueliang Wan;Huansheng Ning
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.
{"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}
Pub Date : 2025-03-25DOI: 10.1109/THMS.2025.3553008
{"title":"IEEE Transactions on Human-Machine Systems Information for Authors","authors":"","doi":"10.1109/THMS.2025.3553008","DOIUrl":"https://doi.org/10.1109/THMS.2025.3553008","url":null,"abstract":"","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"55 2","pages":"C4-C4"},"PeriodicalIF":3.5,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10938802","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：