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

Min Hyung Gu, Da Young Ju

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationAdvances in Interdisciplinary Practice in Industrial Design - Proceedings of the AHFE 2018 International Conference on Interdisciplinary Practice in Industrial Design, 2018
EditorsCliff Sungsoo Shin, WonJoon Chung
PublisherSpringer Verlag
Pages203-213
Number of pages11
ISBN (Print)9783319946009
DOIs
Publication statusPublished - 2019
EventAHFE International Conference on Interdisciplinary Practice in Industrial Design, 2018 - Orlando, United States
Duration: 2018 Jul 212018 Jul 25

Publication series

NameAdvances in Intelligent Systems and Computing
Volume790
ISSN (Print)2194-5357

Other

OtherAHFE International Conference on Interdisciplinary Practice in Industrial Design, 2018
CountryUnited States
CityOrlando
Period18/7/2118/7/25

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Fingerprint Dive into the research topics of 'AHP-Based priority analysis of cognitive feedback methods by driver state in an autonomous vehicle'. Together they form a unique fingerprint.

  • 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