<div class="csl-bib-body">
<div class="csl-entry">Eesee, A. K., Kostolani, D., Varga, V., Kang, T., Schlund, S., & Ruppert, T. (2025). Studying Dual-Task Awareness in Industrial Settings Through Reaction Times and Physiological Signals. In <i>2025 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)</i> (pp. 151–156). IEEE. https://doi.org/10.1109/CogSIMA64436.2025.11079508</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/224165
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dc.description.abstract
Industrial environments often impose high requirements on dual-task awareness, such as simultaneously monitoring machinery signals while performing assembly work. Multitasking in such settings can strain cognitive abilities and affect work performance. This study explores attentional demands and physiological arousal in a dual-task scenarios. Twelve participants performed a screwing task while simultaneously reacting to a Go/No-Go test, simulating situational awareness demands in the Industry 5.0 lab at the University of Pannonia. The data collected included reaction times to the Go/No-Go stimuli, physiological data, and task-related metrics such as acceleration. Our eventbased analysis revealed a significant relationship between stimulus timing and the tonic component of Electrodermal Activity (EDA) with reaction times. These findings contribute to better understanding of human factors and attention management in manufacturing settings.
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dc.language.iso
en
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dc.subject
attention
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dc.subject
GSR
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dc.subject
HRV
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dc.subject
manufacturing
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dc.subject
physiological
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dc.title
Studying Dual-Task Awareness in Industrial Settings Through Reaction Times and Physiological Signals
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dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
University of Pannonia, Hungary
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dc.contributor.affiliation
University of Pannonia, Hungary
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dc.contributor.affiliation
University of Pannonia, Hungary
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dc.relation.isbn
979-8-3315-3308-3
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dc.relation.doi
10.1109/CogSIMA64436.2025
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dc.relation.issn
2379-1667
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dc.description.startpage
151
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dc.description.endpage
156
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dc.type.category
Full-Paper Contribution
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dc.relation.eissn
2379-1675
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tuw.booktitle
2025 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)