Should Automated Features Warn, Assist, or Take Control?
Publication date
2021-09-09
Editors
Advisors
Supervisors
Document Type
Part of book
Metadata
Show full item recordCollections
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