SCIENCE@home

Making Passenger Conversation in Partial Driving Automation: Effects of Relationship Between Driver and Passenger on Driver Fatigue and Driving Performance

Jieun Lee,Toshiaki Hirano,M. Itoh

Published 2020 in IEEE International Conference on Systems, Man and Cybernetics

ABSTRACT

Driving automation leads drivers to be disengaged by dynamic driving tasks, but the need for the driver to monitor traffic environment is existed in a partial automation. Monotonous road situations can produce drowsiness, resulting in poor driving performance. Conversation in automated vehicles is expected to mitigate fatigued driving. However, few studies have examined effects of conversation. This paper reports a driving simulator study describing impacts of passenger conversation on driver fatigue and driving performance regarding the relationship between a driver and a passenger. Participants were categorized into two groups: a passenger’s friends (ConvR) and people who had not met the passenger before (ConvNR) to examine whether the acquaintance with the passenger affects driver behaviour, driving performance, fatigue and workload. The results showed that drivers in ConvNR felt lesser sleepy and found it easier to drive than the drivers in ConvR, but no difference of driver behaviour and driving performance was observed between two groups. In addition, regardless of the relationship, making casual conversation led decreased fatigue and workload in comparison with solo driving without conversation. The practical implication for further conversation methods to regard driver fatigue and driving performance in the automated vehicle is discussed.

PUBLICATION RECORD

  • Publication year

    2020

  • Venue

    IEEE International Conference on Systems, Man and Cybernetics

  • Publication date

    2020-10-11

  • Fields of study

    Computer Science, Engineering, Psychology

  • Identifiers
    DOI 10.1109/SMC42975.2020.9283363
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

CITATION MAP

EXTRACTION MAP

CLAIMS

  • No claims are published for this paper.

CONCEPTS

  • No concepts are published for this paper.

REFERENCES

Showing 1-15 of 15 references · Page 1 of 1

CITED BY