(Don’t) Talk to Me! Application of the Kano Method for Speech Outputs in Conditionally Automated Driving

Abstract

Conditionally automated driving (L3) implies repeated transitions of the driving responsibility between the human operator and the automated driving system. This research examines users’ attitudes towards speech outputs as potential features for human-machine interfaces for L3 automated driving. The Kano method is applied to identify scenarios where users prefer speech outputs. After a test drive with an L3 automated vehicle, N = 42 drivers take part in a survey on speech outputs in different scenarios. The results identify users’ preferences for speech outputs in critical situations. In non-critical application areas, the findings of the Kano method and further comments show a large variance among participants. Customization is desired for the design of speech outputs - including the way of addressing the human operator. Future research should focus on the development of user preferences for speech outputs in long-term studies and the identification of user groups.

Keywords: Kano Method, Speech Output, Conditionally Automated Driving, User Survey, Human-Machine Interface

DOI: 10.54941/ahfe1002484