Abstract
Automated driving is considered as a technological milestone that will significantly shape the automotive industry as well as mobility behavior. Besides aspects of increasing road safety and efficiency, the predicted advantages lie above all in free time for the user, as he becomes a passenger instead of a driver. Existing research assigns great potential to media usage in automated vehicles, but without reflecting a concrete context (e.g., availability of time or travelling situation). This research gap is addressed within this study by applying a cross industrial consumer survey that analyzes three different usage scenarios. The study examines which media offerings are preferred for different purposes and how contextual factors vary. The results show clear differences in the media choice, but also similarities regarding the projection of content as well as sound and light settings. A cluster analysis further indicates two differentiating target markets that differ in technological demands and individual innovativeness.
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Kern, M., Stegmüller, S. (2021). Analysis of Context-Specific Behavior Patterns in Cross-Industry Innovations Using the Example of Media Use in Automated Vehicles. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2021. Lecture Notes in Networks and Systems, vol 270. Springer, Cham. https://doi.org/10.1007/978-3-030-80012-3_39
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DOI: https://doi.org/10.1007/978-3-030-80012-3_39
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