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Analysis of Physiological Response of Attention and Stress States in Teleoperation Performance of Social Tasks

David Achanccaray, Hidenobu Sumioka

发表年份
2023
引用次数
2

摘要

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.

关键词

TeleoperationStress (linguistics)Computer scienceCognitive psychologyHuman–computer interactionPsychologyArtificial intelligenceRobot

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