TY - GEN
T1 - How Visual Cues on Steering Wheel Improve Users’ Trust, Experience, and Acceptance in Automated Vehicles
AU - Muthumani, Arun
AU - Diederichs, Frederik
AU - Galle, Melanie
AU - Schmid-Lorch, Sebastian
AU - Forsberg, Christian
AU - Widlroither, Harald
AU - Feierle, Alexander
AU - Bengler, Klaus
N1 - Publisher Copyright:
© 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - With the introduction of ADAS systems and vehicle automation, an interface informing the driver of the automation state is required. This study evaluates the suitability of a visual interface comprising up to 64 LEDs on the steering wheel perimeter; it displays continuous visual feedback about the automation state—including notifications of an unscheduled hand-over due to sudden system failure. Three HMI (Human Machine Interface) designs were evaluated: two versions with visual cues on the steering wheel and one without (baseline). We implemented the designs in a driving simulator and compared the subjective responses of 38 participants to questionnaires measuring user experience, trust, and acceptance. The designs with visual cues improved the participants’ user experience, as well as their trust in, and acceptance of, automated vehicles. Moreover, both designs were well perceived by participants.
AB - With the introduction of ADAS systems and vehicle automation, an interface informing the driver of the automation state is required. This study evaluates the suitability of a visual interface comprising up to 64 LEDs on the steering wheel perimeter; it displays continuous visual feedback about the automation state—including notifications of an unscheduled hand-over due to sudden system failure. Three HMI (Human Machine Interface) designs were evaluated: two versions with visual cues on the steering wheel and one without (baseline). We implemented the designs in a driving simulator and compared the subjective responses of 38 participants to questionnaires measuring user experience, trust, and acceptance. The designs with visual cues improved the participants’ user experience, as well as their trust in, and acceptance of, automated vehicles. Moreover, both designs were well perceived by participants.
KW - Human factors in automation
KW - Human machine interaction
KW - Trust in automated driving
KW - Visual cues on steering wheel
KW - Visual interface
UR - http://www.scopus.com/inward/record.url?scp=85088231741&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-50943-9_24
DO - 10.1007/978-3-030-50943-9_24
M3 - Conference contribution
AN - SCOPUS:85088231741
SN - 9783030509422
T3 - Advances in Intelligent Systems and Computing
SP - 186
EP - 192
BT - Advances in Human Aspects of Transportation - Proceedings of the AHFE 2020 Virtual Conference on Human Aspects of Transportation
A2 - Stanton, Neville
PB - Springer
T2 - AHFE Virtual Conference on Human Factors in Transportation, 2020
Y2 - 16 July 2020 through 20 July 2020
ER -