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Trust in Automation: An On-Road Study of Trust in Advanced Driver Assistance Systems

Authors:
Liza Dixon
William M. Megill
Karsten Nebe

Keywords: Advanced Driver Assistance Systems (ADAS); Trust; Human-Machine Interaction; Autonomous Vehicles

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<0.05) 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.

Pages: 85 to 93

Copyright: Copyright (c) IARIA, 2019

Publication date: June 30, 2019

Published in: conference

ISSN: 2327-2058

ISBN: 978-1-61208-720-7

Location: Rome, Italy

Dates: from June 30, 2019 to July 4, 2019