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Effects of Verbal Communication with a Driving Automation System on Driver Situation Awareness

  • Taiki Uchida
  • Toshiaki Hirano
  • Makoto Itoh
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 823)

Abstract

At level 2 of SAE’s driving automation, it is difficult for drivers to continue to monitor a driving automation system and the environment. An important issue to be addressed involves maintaining driver situation awareness to keep the driver in the control loop. In the study, we investigate verbal communication between the driver and system. We hypothesize that the driver can cognitively participate in vehicle operation even if he/she is not physically in the control loop. We use a driving simulator to examine how verbal communication affects driver situation awareness. We compare the following two conditions: (1) talking with the system and (2) not talking with the system during automated driving. Under the condition of talking with the system, the system asks the driver about the peripheral situation and/or vehicle control. The driver is required to respond to the system. In the experiment, two events occur during which the driver is expected to intervene during cruising. We measure the event response time, number of collisions, how the driver maneuvers the vehicle, and subjective usability by administering a questionnaire. The results indicate that the number of collisions are significantly higher under the condition of conversation than under the condition of no conversation. The event response time is significantly longer under the condition of conversation than the condition of no conversation. The aformentioned results indicate that the verbal communication does not improve driver situation awareness. There is no difference in the questionnaire score, and thus the verbal communication does not improve the usability of the driving automation system. The results indicate that drivers can potentially overestimate the extent to which they obtain information about driving situation only through conversation. The results provide important insights for designing systems to support driver situation awareness.

Keywords

Driving automation Situation awareness Verbal communication 

Notes

Acknowledgements

The study was supported by JSPS KAKENHI 15H05716.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.University of TsukubaTsukubaJapan

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