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권오상

Kwon, Oh-Sang
Perception, Action, & Learning Lab.
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DC Field Value Language
dc.citation.conferencePlace KO -
dc.citation.conferencePlace Jeju Island -
dc.citation.endPage 1004 -
dc.citation.startPage 999 -
dc.citation.title 9th International Conference on Information and Communication Technology Convergence, ICTC 2018 -
dc.contributor.author Choe, Seonggyu -
dc.contributor.author Jeon, Hyun-Jun -
dc.contributor.author Kwon, Oh-Sang -
dc.date.accessioned 2024-02-01T01:10:28Z -
dc.date.available 2024-02-01T01:10:28Z -
dc.date.created 2019-03-19 -
dc.date.issued 2018-10-17 -
dc.description.abstract Drivers are often distracted by non-driving tasks such as texting and conversation, increasing the risk of traffic accidents. An accurate estimation of cognitive load and mental state of drivers is crucial to countermand the detrimental effects of distractions. Here we asked participants to perform a primary driving task and a secondary cognitive task in parallel to examine the effects of elevated cognitive load. Individuals' cognitive capacities were measured in separate experiments. Task demands and individual cognitive capacities systematically affected driving performances and physiological responses with significant interactions between them. We validated a practical use of these measures by an elaborated estimation of attentional states of drivers. -
dc.identifier.bibliographicCitation 9th International Conference on Information and Communication Technology Convergence, ICTC 2018, pp.999 - 1004 -
dc.identifier.doi 10.1109/ICTC.2018.8539676 -
dc.identifier.scopusid 2-s2.0-85059460116 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/80767 -
dc.identifier.url https://ieeexplore.ieee.org/document/8539676 -
dc.language 영어 -
dc.publisher Institute of Electrical and Electronics Engineers Inc. -
dc.title Estimating Attentional State of a Driver: Interacting Effects of Task Demands and Cognitive Capacities -
dc.type Conference Paper -
dc.date.conferenceDate 2018-10-17 -

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