Trust in automation: An on-road study of trust in advanced driver assistance systems

6^th International Conference and Exhibition on Automobile & Mechanical Engineering

July 08-09, 2019 | Zurich, Switzerland

Liza Dixon, William M Megill and Karsten Nebe

Hochschule Rhein-Waal University of Applied Sciences, Germany

Posters & Accepted Abstracts: JET

Abstract

Appropriate user trust is critical in ensuring the acceptance and safe use of Advanced Driver Assistance Systems (ADAS). Despite the prevalence of ADAS on-road today, there is a limited understanding of how trust is affected by a user�s first contact with the system on-road. Ten participants without prior experience were introduced to a level 2 system and completed an on-road test drive session. Utilizing a mixed-methods approach including the Trust in Automation (TiA) questionnaire, verbal trust scores and Facial Emotion Recognition (FER), trust in the system was measured at key milestones. TiA scores increased in a majority of participants, and a significant shift in the factor Reliability/Competence (p=0.02) was observed post-drive. According to FER scores, participants with a gain in TiA post-drive and those with a loss in TiA post-drive, more frequently displayed the emotions happy and angry, respectively. Results indicate that trust increases after a user�s first experience with ADAS and further that FER may be predictive of user trust in automation.

Biography

E-mail:

• PDF
• HTML