Privacy and initial information in automated driving — Evaluation of information demands and data sharing concerns

This paper presents the results of an online questionnaire (N=130) focusing on the impact of initial information for novel systems in two different automation levels. Willingness to share data and privacy concerns were compared between partial and conditional automation. With initial information on system limits manipulated between participants, differences in a priori attitudes and information relevance were analyzed. General attitude towards automation was positive. Willingness to share data when using automation was independent of ADAS experience and automation level. All driver-related data were not considered as sharable. Information relevance was highest for information on the anticipation of take-over situations, with information on certainty of successful situation management being significantly more important if system limits were unspecific. Results provide input for studies analyzing the influence of initial information and online information on take-over performance as well as on willingness to share data when receiving higher levels of automation in return.