AHP-Based priority analysis of cognitive feedback methods by driver state in an autonomous vehicle

Min Hyung Gu; Da Young Ju

doi:10.1007/978-3-319-94601-6_22

AHP-Based priority analysis of cognitive feedback methods by driver state in an autonomous vehicle

Min Hyung Gu, Da Young Ju

Yonsei Institute of Convergence Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The inattentive behavior of a driver can also be risk factors for autonomous driving when the driver has to cope with a unexpected situation. However, it is true that we do not have yet sufficient understanding of a user’s experience with the feedback methods for the driver-centered optimal driving condition. This study, the cognitive feedback methods for optimal driving condition by driver state in an autonomous vehicle were compared and prioritized, and the importance of the methods were determined. With the results, the conclusion was reached that a feedback method for maintaining optimal driving condition by driver state may be different by the sensory source on where a feedback method is based: visual, auditory, and haptic. It is believed that this study will be the base for the development of HVI for an autonomous vehicle and accordingly a user’s experience value will be more reflected in developing a human-friendly autonomous vehicle.

Original language	English
Title of host publication	Advances in Interdisciplinary Practice in Industrial Design - Proceedings of the AHFE 2018 International Conference on Interdisciplinary Practice in Industrial Design, 2018
Editors	Cliff Sungsoo Shin, WonJoon Chung
Publisher	Springer Verlag
Pages	203-213
Number of pages	11
ISBN (Print)	9783319946009
DOIs	https://doi.org/10.1007/978-3-319-94601-6_22
Publication status	Published - 2019
Event	AHFE International Conference on Interdisciplinary Practice in Industrial Design, 2018 - Orlando, United States Duration: 2018 Jul 21 → 2018 Jul 25

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	790
ISSN (Print)	2194-5357

Other

Other	AHFE International Conference on Interdisciplinary Practice in Industrial Design, 2018
Country/Territory	United States
City	Orlando
Period	18/7/21 → 18/7/25

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2019.

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Computer Science(all)

Access to Document

10.1007/978-3-319-94601-6_22

Cite this

Gu, M. H., & Ju, D. Y. (2019). AHP-Based priority analysis of cognitive feedback methods by driver state in an autonomous vehicle. In C. S. Shin, & W. Chung (Eds.), Advances in Interdisciplinary Practice in Industrial Design - Proceedings of the AHFE 2018 International Conference on Interdisciplinary Practice in Industrial Design, 2018 (pp. 203-213). (Advances in Intelligent Systems and Computing; Vol. 790). Springer Verlag. https://doi.org/10.1007/978-3-319-94601-6_22

Gu, Min Hyung ; Ju, Da Young. / AHP-Based priority analysis of cognitive feedback methods by driver state in an autonomous vehicle. Advances in Interdisciplinary Practice in Industrial Design - Proceedings of the AHFE 2018 International Conference on Interdisciplinary Practice in Industrial Design, 2018. editor / Cliff Sungsoo Shin ; WonJoon Chung. Springer Verlag, 2019. pp. 203-213 (Advances in Intelligent Systems and Computing).

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title = "AHP-Based priority analysis of cognitive feedback methods by driver state in an autonomous vehicle",

abstract = "The inattentive behavior of a driver can also be risk factors for autonomous driving when the driver has to cope with a unexpected situation. However, it is true that we do not have yet sufficient understanding of a user{\textquoteright}s experience with the feedback methods for the driver-centered optimal driving condition. This study, the cognitive feedback methods for optimal driving condition by driver state in an autonomous vehicle were compared and prioritized, and the importance of the methods were determined. With the results, the conclusion was reached that a feedback method for maintaining optimal driving condition by driver state may be different by the sensory source on where a feedback method is based: visual, auditory, and haptic. It is believed that this study will be the base for the development of HVI for an autonomous vehicle and accordingly a user{\textquoteright}s experience value will be more reflected in developing a human-friendly autonomous vehicle.",

author = "Gu, {Min Hyung} and Ju, {Da Young}",

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Gu, MH & Ju, DY 2019, AHP-Based priority analysis of cognitive feedback methods by driver state in an autonomous vehicle. in CS Shin & W Chung (eds), Advances in Interdisciplinary Practice in Industrial Design - Proceedings of the AHFE 2018 International Conference on Interdisciplinary Practice in Industrial Design, 2018. Advances in Intelligent Systems and Computing, vol. 790, Springer Verlag, pp. 203-213, AHFE International Conference on Interdisciplinary Practice in Industrial Design, 2018, Orlando, United States, 18/7/21. https://doi.org/10.1007/978-3-319-94601-6_22

AHP-Based priority analysis of cognitive feedback methods by driver state in an autonomous vehicle. / Gu, Min Hyung; Ju, Da Young.
Advances in Interdisciplinary Practice in Industrial Design - Proceedings of the AHFE 2018 International Conference on Interdisciplinary Practice in Industrial Design, 2018. ed. / Cliff Sungsoo Shin; WonJoon Chung. Springer Verlag, 2019. p. 203-213 (Advances in Intelligent Systems and Computing; Vol. 790).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Gu MH, Ju DY. AHP-Based priority analysis of cognitive feedback methods by driver state in an autonomous vehicle. In Shin CS, Chung W, editors, Advances in Interdisciplinary Practice in Industrial Design - Proceedings of the AHFE 2018 International Conference on Interdisciplinary Practice in Industrial Design, 2018. Springer Verlag. 2019. p. 203-213. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-94601-6_22

AHP-Based priority analysis of cognitive feedback methods by driver state in an autonomous vehicle

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