An attempt to predict point in time with high risk of crash using psychological rating on drowsiness and X-bar chart of behavioral measures

Atsuo Murata, Kensuke Naitoh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A procedure for predicting the point in time with high risk of crash before the point in time of virtual accident was proposed using X-bar chart of the behavioral measures during a simulated driving task. The tracking error, the back pressure, the sitting pressure (COP movement on the sitting surface), the horizontal neck bending angle, and the vertical neck bending angle were measured during a driving task on the driving simulator. As a result of applying the proposed method to these data, we could identify the point in time with high risk of crash before the point in time of virtual accident occurred for nine participants out of ten. The time interval between the point in time with high risk of crash and the point in time of virtual accident ranged from 136 s to 526 s. As for the other one participant, the point in time with high risk of crash was identified 9 s after the point in time of virtual accident. In such a way, it has been verified that the proposed procedure for predicting the point in time with high risk of crash is effective and promising for warning drivers of the high risky state of crash.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages265-274
Number of pages10
Volume9174
ISBN (Print)9783319203720
DOIs
Publication statusPublished - 2015
Event12th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015 - Los Angeles, United States
Duration: Aug 2 2015Aug 7 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9174
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other12th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015
CountryUnited States
CityLos Angeles
Period8/2/158/7/15

Fingerprint

Bar chart
Crash
Accidents
Predict
Driving Simulator
Angle
Simulators
Driver
Horizontal
Vertical
Interval

Keywords

  • Behavioral measures
  • Point in time with high risk of crash
  • Psychological rating on drowsiness
  • Virtual accident
  • X-bar chart

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Murata, A., & Naitoh, K. (2015). An attempt to predict point in time with high risk of crash using psychological rating on drowsiness and X-bar chart of behavioral measures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9174, pp. 265-274). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9174). Springer Verlag. https://doi.org/10.1007/978-3-319-20373-7_25

An attempt to predict point in time with high risk of crash using psychological rating on drowsiness and X-bar chart of behavioral measures. / Murata, Atsuo; Naitoh, Kensuke.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9174 Springer Verlag, 2015. p. 265-274 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9174).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Murata, A & Naitoh, K 2015, An attempt to predict point in time with high risk of crash using psychological rating on drowsiness and X-bar chart of behavioral measures. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 9174, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9174, Springer Verlag, pp. 265-274, 12th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015, Los Angeles, United States, 8/2/15. https://doi.org/10.1007/978-3-319-20373-7_25
Murata A, Naitoh K. An attempt to predict point in time with high risk of crash using psychological rating on drowsiness and X-bar chart of behavioral measures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9174. Springer Verlag. 2015. p. 265-274. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-20373-7_25
Murata, Atsuo ; Naitoh, Kensuke. / An attempt to predict point in time with high risk of crash using psychological rating on drowsiness and X-bar chart of behavioral measures. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9174 Springer Verlag, 2015. pp. 265-274 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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