IEEE Transactions on Human-Machine Systems最新文献_第4页

Estimating Perceived Mental Workload From Eye-Tracking Data Based on Benign Anisocoria 根据眼球跟踪数据估算良性眼球异位症患者的心理工作量

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-08-07 DOI: 10.1109/THMS.2024.3432864

Suvodip Chakraborty;Peter Kiefer;Martin Raubal

{"title":"Estimating Perceived Mental Workload From Eye-Tracking Data Based on Benign Anisocoria","authors":"Suvodip Chakraborty;Peter Kiefer;Martin Raubal","doi":"10.1109/THMS.2024.3432864","DOIUrl":"10.1109/THMS.2024.3432864","url":null,"abstract":"From the initial phases of human–computer interaction, where the computer was unaware of the users' mental states, we are now progressing toward cognition-aware user interfaces. One crucial cognitive state considered by research on cognition-aware user interfaces is the cognitive load. Eye-tracking has been suggested as one particularly unobtrusive method for estimating cognitive load. Although the accuracy of cognitive load detection has improved in recent work, it is still insufficient for cognition-aware user interfaces, which require high accuracy for getting accepted by the user. This article introduces two new eye-tracking metrics for estimating perceived cognitive load based on benign anisocoria (BA). Unlike previous pupil-based metrics, our metrics are based on pupil size asymmetry between the left and right eye. As a case study, we illustrate the effectiveness of the proposed metrics on a recently published eye-tracking dataset recorded under laboratory conditions. The results show that our proposed features based on BA can improve the performance of classifiers for detecting the perceived mental workload associated with an \u0000<inline-formula><tex-math>$N$</tex-math></inline-formula>\u0000-back test. The best classification accuracy was 84.24% while the classification accuracy in the absence of the proposed features was 81.91% for the light gradient boosting classifier.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"54 5","pages":"499-507"},"PeriodicalIF":3.5,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10629234","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141931222","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}

引用次数: 0

Responses to External Repeated Perturbations Vary With Time Intervals 对外部重复扰动的响应随时间间隔而变化

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-08-02 DOI: 10.1109/THMS.2024.3426302

Dongwon Kim;Jong-Moon Hwang

{"title":"Responses to External Repeated Perturbations Vary With Time Intervals","authors":"Dongwon Kim;Jong-Moon Hwang","doi":"10.1109/THMS.2024.3426302","DOIUrl":"10.1109/THMS.2024.3426302","url":null,"abstract":"It is generally accepted that stimuli with different time intervals lead to different contributions of relevant learning substrates. We investigated postural responses in men to trains of perturbations with different time intervals. A total of 12 male volunteers with no neurological deficits (age: 33.33±3.12 S.D.) experienced a sequence of perturbations. Two sequences of perturbations by a translational plate to still standing participants in the anterior-posterior direction were designed and administered: the first sequence consisted of 24 repeated perturbations with an interval of 5 s, while the second sequence consisted of ones with an interval of 2.5 s. A perturbation of a smaller magnitude was inserted into each sequence as a catch trial. We found that while a shorter interval and a longer interval both led to the learning effect (P < 0.05), a shorter interval results in a stiff strategy, presumably through muscle cocontraction, minimizing the degree of body sway. The learned motor response continued after experiencing the catch trial (P < 0.05). The results imply that stimulus intervals could lead to a different adaptation mechanism in the neuromotor system in the way to regain postural stability. Also, our results suggest that training for male individuals with repetition of postural perturbations with a shorter time interval leads to a stiff strategy with a greater degree. A stiff strategy could lower the ability to cope with unexpected postural threats, possibly leading to falls.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"54 5","pages":"582-588"},"PeriodicalIF":3.5,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141886117","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

ARMedicalSketch: Exploring 3D Sketching for Medical Image Using True 2D-3D Interlinked Visualization and Interaction ARMedicalSketch：探索使用真正的 2D-3D 互联可视化和交互技术绘制医学图像的 3D 草图

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-08-02 DOI: 10.1109/THMS.2024.3432735

Nan Zhang;Tianqi Huang;Hongen Liao

{"title":"ARMedicalSketch: Exploring 3D Sketching for Medical Image Using True 2D-3D Interlinked Visualization and Interaction","authors":"Nan Zhang;Tianqi Huang;Hongen Liao","doi":"10.1109/THMS.2024.3432735","DOIUrl":"10.1109/THMS.2024.3432735","url":null,"abstract":"In traditional clinical practice, doctors often have to deal with 3D information based on 2D-displayed medical images. There is a considerable mismatch between the 2D and 3D dimensions in image interaction during clinical diagnosis, making image manipulation challenging and time-consuming. In this study, we explored 3D sketching for medical images using true 2D-3D interlinked visualization and interaction, presenting a novel AR environment named ARMedicalSketch. It supports image display enhancement preprocessing and 3D interaction tasks for original 3D medical images. Our interaction interface, based on 3D autostereoscopic display technology, provides both floating 3D display and 2D tablet display while enabling glasses-free visualization. We presented a method of 2D-3D interlinked visualization and interaction, employing synchronized projection visualization and a virtual synchronized interactive plane to establish an integrated relationship between 2D and 3D displays. Additionally, we utilized gesture sensors and a 2D touch tablet to capture the user's hand information for convenient interaction. We constructed the prototype and conducted a user study involving 23 students and 2 clinical experts. The controlled study compared our proposed system with a 2D display prototype, showing enhanced efficiency in interacting with medical images while maintaining 2D interaction accuracy, particularly in tasks involving strong 3D spatial correlation. In the future, we aim to further enhance the interaction precision and application scenarios of ARMedicalSketch.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"54 5","pages":"589-598"},"PeriodicalIF":3.5,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141886116","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

Emotion Recognition of Playing Musicians From EEG, ECG, and Acoustic Signals 从脑电图、心电图和声学信号识别演奏音乐家的情绪

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-08-01 DOI: 10.1109/THMS.2024.3430327

Luca Turchet;Barry O'Sullivan;Rupert Ortner;Christoph Guger

{"title":"Emotion Recognition of Playing Musicians From EEG, ECG, and Acoustic Signals","authors":"Luca Turchet;Barry O'Sullivan;Rupert Ortner;Christoph Guger","doi":"10.1109/THMS.2024.3430327","DOIUrl":"10.1109/THMS.2024.3430327","url":null,"abstract":"This article investigated the automatic recognition of felt and musically communicated emotions using electroencephalogram (EEG), electrocardiogram (ECG), and acoustic signals, which were recorded from eleven musicians instructed to perform music in order to communicate happiness, sadness, relaxation, and anger. Musicians' self-reports indicated that the emotions they musically expressed were highly consistent with those they actually felt. Results showed that the best classification performances, in a subject-dependent classification using a KNN classifier were achieved by using features derived from both the EEG and ECG (with an accuracy of 98.11%). Which was significantly more accurate than using ECG features alone, but was not significantly more accurate than using EEG features alone. The use of acoustic features alone or in combination with EEG and/or ECG features did not lead to better performances than those achieved with EEG plus ECG or EEG alone. Our results suggest that emotion detection of playing musicians, both felt and musically communicated, when coherent, can be classified in a more reliable way using physiological features than involving acoustic features. The reported machine learning results are a step toward the development of affective brain–computer interfaces capable of automatically inferring the emotions of a playing musician in real-time.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"54 5","pages":"619-629"},"PeriodicalIF":3.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10620218","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141886137","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}

引用次数: 0

User Characteristics and Their Impact on the Perceived Usable Security of Physical Authentication Devices 用户特征及其对物理认证设备可用安全性的影响

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-07-24 DOI: 10.1109/THMS.2024.3421538

Jongkil Jay Jeong;Syed Wajid Ali Shah;Ashish Nanda;Robin Doss;Mohammad Nosouhi;Jeb Webb

{"title":"User Characteristics and Their Impact on the Perceived Usable Security of Physical Authentication Devices","authors":"Jongkil Jay Jeong;Syed Wajid Ali Shah;Ashish Nanda;Robin Doss;Mohammad Nosouhi;Jeb Webb","doi":"10.1109/THMS.2024.3421538","DOIUrl":"10.1109/THMS.2024.3421538","url":null,"abstract":"Physical authentication devices (PADs) offer a higher level of security than other authentication technologies commonly used in multifactor authentication (MFA) schemes because they are much less vulnerable to attack. However, PAD uptake remains significantly lower than that for SMS and app-based approaches, accounting for only 10% of all authentication technologies currently being utilized in MFA. Prior studies indicate that the primary reason for this low adoption rate is due to negative users' perceptions and attitudes toward the usability of PADs; many of these studies often skew toward a particular set of users (e.g., young university students, etc.), often creating a bias toward what usable security entails. To address this limitation, we have formulated an original research methodology that segments users into specific groups based on their user characteristics (i.e., age, education, and experience) and examines how each group defines usability and ranks their preferences regarding certain security features. Based on a survey of 410 participants, our results indicate that there are indeed different usable security preferences for each user group, and we, therefore, provide recommendations on how existing PADs might be enhanced to support usability and improve adoption rates.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"54 5","pages":"554-564"},"PeriodicalIF":3.5,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141772570","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 Systems, Man, and Cybernetics Society Information 电气和电子工程师学会系统、人和控制论学会信息

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-07-18 DOI: 10.1109/THMS.2024.3427293

引用次数: 0

Call for Papers: Special Issue on Trustworthy Human-Autonomy Teaming: Featured Research from the 4th International Conference on Human-Machine Systems (ICHMS 2024) 征稿：可信赖的人机协作特刊：第四届国际人机系统大会（ICHMS 2024）的特色研究

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-07-18 DOI: 10.1109/THMS.2024.3427300

引用次数: 0

IEEE Transactions on Human-Machine Systems Information for Authors 电气和电子工程师学会《人机系统学报》（IEEE Transactions on Human-Machine Systems）为作者提供的信息

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-07-18 DOI: 10.1109/THMS.2024.3427297

引用次数: 0

IEEE Systems, Man, and Cybernetics Society Information 电气和电子工程师学会系统、人和控制论学会信息

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-07-18 DOI: 10.1109/THMS.2024.3427295

引用次数: 0

Real-Time Posture Identification System for Wheelchair Users Preventing the Generation of Pressure Ulcers 用于轮椅使用者的实时姿势识别系统，防止产生压疮

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-07-16 DOI: 10.1109/THMS.2024.3422267

Aura Ximena Gonzalez-Cely;Cristian Felipe Blanco-Diaz;Teodiano Bastos-Filho;Camilo Arturo Rodriguez-Diaz

{"title":"Real-Time Posture Identification System for Wheelchair Users Preventing the Generation of Pressure Ulcers","authors":"Aura Ximena Gonzalez-Cely;Cristian Felipe Blanco-Diaz;Teodiano Bastos-Filho;Camilo Arturo Rodriguez-Diaz","doi":"10.1109/THMS.2024.3422267","DOIUrl":"10.1109/THMS.2024.3422267","url":null,"abstract":"Prevention is key to avoid pressure ulcer generation in people with mobility restrictions. In recent years, preventive medicine has focused on posture control by considering people who frequently have the same position for too long, such as wheelchair users. Optical fiber sensors have gained recognition for their applications in biomedical engineering; however, approaches to assistive devices, such as wheelchairs, have been relatively unexplored. This study proposes a polymeric-optical-fiber (POF) sensing system based on machine learning (ML) for human posture recognition in an electrical wheelchair-based human machine interface (HMI). The ML-based model was used to classify time- and frequency-domain features obtained from a matrix of POF-based pressure sensors and 24 photodetectors during the execution of eight body postures. In an offline stage, multiclassification was conducted using k-nearest neighbors (KNN), decision tree, extra tree classifier (ETC), and random forest, where the best performance, in terms of accuracy (ACC), was obtained through the use of ETC (94%). Hence, this classifier was implemented in real-time, where the wheelchair-based HMI achieved a CPU time of approximately 117 ms, and an ACC higher than 96%, outperforming the metrics previously reported in the literature. We believe that this study contributes to the development of smart assistive systems that integrate ML and soft sensors to recognize body postures in an HMI, which is a promising approach for preventing the generation of pressure ulcers in wheelchair users.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"54 5","pages":"546-553"},"PeriodicalIF":3.5,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141722593","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