TY - GEN
T1 - Investigating user preferences for windshield displays in automated vehicles
AU - Riegler, Andreas Ernst
AU - Wintersberger, Philipp
AU - Riener, Andreas
AU - Holzmann, Clemens
N1 - Publisher Copyright:
© 2018 ACM.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/6/6
Y1 - 2018/6/6
N2 - Windshield displays are a promising technology for automotive applications. They easily allow to augment the capabilities of drivers or display content relevant for non-driving related activities. However, little information is available on how potential users would utilize these displays. In this paper we present the results of a user study (N=31) addressing user preferences for windshield displays in automated driving. Our goal was to find out how potential users would like applications to appear in terms of size, position, and content type. Participants could freely choose preferred position and size of multiple windows on an artificial "ideal" windshield display. We further distinguished between two levels of automation (conditional and full). Initial results of our experiment (presented in form of heatmaps) indicate differences considering the level of vehicle automation and reveal the most important areas for various content types. This can help designers and developers of automotive applications to enhance user experience.
AB - Windshield displays are a promising technology for automotive applications. They easily allow to augment the capabilities of drivers or display content relevant for non-driving related activities. However, little information is available on how potential users would utilize these displays. In this paper we present the results of a user study (N=31) addressing user preferences for windshield displays in automated driving. Our goal was to find out how potential users would like applications to appear in terms of size, position, and content type. Participants could freely choose preferred position and size of multiple windows on an artificial "ideal" windshield display. We further distinguished between two levels of automation (conditional and full). Initial results of our experiment (presented in form of heatmaps) indicate differences considering the level of vehicle automation and reveal the most important areas for various content types. This can help designers and developers of automotive applications to enhance user experience.
KW - Automated driving
KW - In-vehicle information systems
KW - User experience
KW - User studies
KW - Windshield displays
UR - http://www.scopus.com/inward/record.url?scp=85050084788&partnerID=8YFLogxK
U2 - 10.1145/3205873.3205885
DO - 10.1145/3205873.3205885
M3 - Conference contribution
T3 - PerDis 2018 - Proceedings of the 7th ACM International Symposium on Pervasive Displays
BT - PerDis 2018 - Proceedings of the 7th ACM International Symposium on Pervasive Displays
A2 - El.Agroudy, Passant
A2 - Baldauf, Matthias
A2 - Schmidt, Albrecht
A2 - Williamson, Julie R.
A2 - Sorce, Salvatore
A2 - Gentile, Vito
A2 - Kurdyukova, Katja
A2 - Elhart, Ivan
A2 - Mikusz, Mateusz
PB - Association for Computing Machinery, Inc
T2 - 7th ACM International Symposium on Pervasive Displays, PerDis 2018
Y2 - 6 June 2018 through 8 June 2018
ER -