Optimization of the Method of Maintaining Arousal Level by Inducing Intrinsic Motivation: Using Presentation of Information in Autonomous Driving

Yuki Mekata, Shuhei Takeuchi, Tsuneyuki Yamamoto, Naoki Kamiya, Takashi Suzuki, Miwa Nakanishi

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

Abstract

In recent years, the use of automation has been promoted in various systems such as automobiles, and the interaction between the system and user tends to decrease and be monotonous. Consequently, there is a concern that the arousal level of the user may decrease during work. In a semi-automatic system that requires user intervention in an emergency, performance degradation or accidents may occur because of the driver falling asleep. Therefore, an effective method of maintaining the arousal level must be established. Currently, the methods of stimulating the driver such as the presentation of siren sounds and injection of the scent of mint are being studied as the methods of maintaining the arousal level for automobile drivers. However, these methods of maintaining the arousal level via external stimulation have also suffered with challenges such as discomfort with the stimulation. In our previously conducted study, we proposed a method of maintaining the arousal level by presenting information that induced intrinsic motivation for maintaining the driving behavior in the driver; such a presentation might help maintain the arousal level. We aim to make such a method more applicable by optimizing the timing of the induction of intrinsic motivation.

Original languageEnglish
Title of host publicationHCI International 2020 – Late Breaking Papers
Subtitle of host publicationDigital Human Modeling and Ergonomics, Mobility and Intelligent Environments - 22nd HCI International Conference, HCII 2020, Proceedings
EditorsConstantine Stephanidis, Vincent G. Duffy, Norbert Streitz, Shin’ichi Konomi, Heidi Krömker
PublisherSpringer Science and Business Media Deutschland GmbH
Pages166-178
Number of pages13
ISBN (Print)9783030599867
DOIs
Publication statusPublished - 2020
Event22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark
Duration: 2020 Jul 192020 Jul 24

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12429 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on Human-Computer Interaction, HCII 2020
Country/TerritoryDenmark
CityCopenhagen
Period20/7/1920/7/24

Keywords

  • AI agent
  • Arousal level
  • Intrinsic motivation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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