Article ; Online: Analysis of Physiological Response of Attention and Stress States in Teleoperation Performance of Social Tasks.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
2023 Volume 2023, Page(s) 1–4
Abstract: Some studies addressed monitoring mental states by physiological responses analysis in robots' teleoperation in traditional applications such as inspection and exploration; however, no study analyzed the physiological response during teleoperated social ... ...
Abstract | Some studies addressed monitoring mental states by physiological responses analysis in robots' teleoperation in traditional applications such as inspection and exploration; however, no study analyzed the physiological response during teleoperated social tasks to the best of our knowledge. We analyzed the physiological response of attention and stress mental states by computing the correlation between multimodal biomarkers and performance, pleasure-arousal scale, and workload. Physiological data were recorded during simulated teleoperated social tasks to induce mental states, such as normal, attention, and stress. The results showed that task performance and workload subscales achieved moderate correlations with some multimodal biomarkers. The correlations depended on the induced state. The cognitive workload was related to brain biomarkers of attention in the frontal and frontal-central regions. These regions were close to the frontopolar region, which is commonly reported in attentional studies. Thus, some multimodal biomarkers of attention and stress mental states could monitor or predict metrics related to the performance in teleoperation of social tasks. |
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MeSH term(s) | Attention/physiology ; Brain/physiology ; Task Performance and Analysis ; Workload ; Biomarkers |
Chemical Substances | Biomarkers |
Language | English |
Publishing date | 2023-12-11 |
Publishing country | United States |
Document type | Journal Article |
ISSN | 2694-0604 |
ISSN (online) | 2694-0604 |
DOI | 10.1109/EMBC40787.2023.10340007 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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