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Published in: Artificial Life and Robotics 4/2015

01-12-2015 | Original Article

Causal analysis between vehicle operating data and physiological responses

Authors: Shizuka Bando, Akio Nozawa, Yasuyuki Matsuya

Published in: Artificial Life and Robotics | Issue 4/2015

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Abstract

The objective of this paper is to clarify the interrelation between vehicle operating data and physiological responses to different psychological states. Multidimensional directed coherence (MDC) analysis was applied to the human–machine system, as observed by vehicle operating data and physiological indices to reveal the mechanism of the interrelation. The MDC analysis is one way to visualize the information flow between an arbitrary number of time series signals in the frequency domain. As a result, it was found that the entrainment of physiological indices on vehicle operating data is different depending on the cognitive resources devoted to driving motion. In particular, it was clarified that driving motion is easily influenced by physiological indices when the cognitive resources devoted to driving motion are few either absolutely or relatively.

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Metadata
Title
Causal analysis between vehicle operating data and physiological responses
Authors
Shizuka Bando
Akio Nozawa
Yasuyuki Matsuya
Publication date
01-12-2015
Publisher
Springer Japan
Published in
Artificial Life and Robotics / Issue 4/2015
Print ISSN: 1433-5298
Electronic ISSN: 1614-7456
DOI
https://doi.org/10.1007/s10015-015-0229-6

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