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View all- Braun MWeber FAlt F(2021)Affective Automotive User Interfaces–Reviewing the State of Driver Affect Research and Emotion Regulation in the CarACM Computing Surveys10.1145/346093854:7(1-26)Online publication date: 17-Sep-2021
User Experience of Driver State Visualizations: A Look at Demographics and Personalities
Pages 158 - 176
Abstract
Driver state detection is an emerging topic for automotive user interfaces. Motivated by the trend of self-tracking, one crucial question within this field is how or whether detected states should be displayed. In this work we investigate the impact of demographics and personality traits on the user experience of driver state visualizations. 328 participants experienced three concepts visualizing their current state in a publicly installed driving simulator. Driver age, experience, and personality traits were shown to have impact on visualization preferences. While a continuous display was generally preferred, older respondents and drivers with little experience favored a system with less visual elements. Extroverted participants were more open towards interventions. Our findings lead us to believe that, while users are generally open to driver state detection, its visualization should be adapted to age, driving experience, and personality. This work is meant to support professionals and researchers designing affective in-car information systems.
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Published In
Sep 2019
780 pages
ISBN:978-3-030-29389-5
DOI:10.1007/978-3-030-29390-1
© IFIP International Federation for Information Processing 2019.
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 02 September 2019
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View all- Braun MWeber FAlt F(2021)Affective Automotive User Interfaces–Reviewing the State of Driver Affect Research and Emotion Regulation in the CarACM Computing Surveys10.1145/346093854:7(1-26)Online publication date: 17-Sep-2021
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