Should Automated Features Warn, Assist, or Take Control?

Publication date

2021-09-09

Authors

Van Den Berg, Myrna S.
Thijs, Benno
Pfleging, Bastian
Janssen, C.P.ORCID 0000-0002-9849-404XISNI 0000000427320370

Editors

Advisors

Supervisors

Document Type

Part of book
Open Access logo

License

taverne

Abstract

Driver support and assistance features for vehicles have grown a lot during the last years. Despite a wealth of features, car brands and manufacturers differ in the implementation of these features. What insights can we gain on what drivers choose to (partially) automate their vehicles, given all these options? In this work in progress paper, we report the interim results of a survey which investigated this question. The survey contained hierarchical questions asking mainly Dutch respondents for their automated driving feature preferences. Results show that respondents choose a large number of features and were very diverse in their preferences. Nevertheless, there seems to be a preference of control type features over warning and passive-Assist features. Based on these findings, we concluded that our sample supports the continuous development of features.

Keywords

advanced driver assistance systems (ADAS), automated driving, automated driving features, transitions of control, warnings, Taverne, Artificial Intelligence, Human-Computer Interaction, Automotive Engineering

Citation

Van Den Berg, M S, Thijs, B, Pfleging, B & Janssen, C P 2021, Should Automated Features Warn, Assist, or Take Control? in AutomotiveUI '21 Adjunct : 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. Association for Computing Machinery, New York, pp. 39-42, 13th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2021, Virtual, Online, United Kingdom, 9/09/21. https://doi.org/10.1145/3473682.3480260, conference