Title
Gaze behaviour and electrodermal activity: Objective measures of drivers’ trust in automated vehicles
Author
Walker, F.
Wang, J.
Martens, M.H.
Verwey, W.B.
Publication year
2019
Abstract
Studies show that drivers’ intention to use automated vehicles is strongly modulated by trust. It follows that their benefits are unlikely to be achieved if users do not trust them. To date, most studies of trust in automated vehicles have relied on self-reports. However, questionnaires cannot capture real-time changes in drivers’ trust, and are hard to use in applied settings. In previous work, we found evidence that gaze behaviour could provide an effective measure of trust. In this study we tested whether combining gaze behaviour with Electrodermal Activity could provide a stronger metric. The results indicated a strong relationship between self-reported trust, monitoring behaviour and Electrodermal Activity: The higher participants’ self-reported trust, the less they monitored the road, the more attention they paid to a non-driving related secondary task, and the lower their Electrodermal Activity. We also found evidence that combined measures of gaze behaviour and Electrodermal Activity predict self-reported trust better than either of these measures on its own. These findings suggest that such combined measures have the potential to provide a reliable and objective real-time indicator of driver trust. © 2019 Elsevier Ltd
Subject
Electrodermal Activity
Eye movement behaviour
Secondary task
Trust calibration
Trust in automation
Automation
Eye movements
Surveys
Vehicles
Automated driving
Automated vehicles
Effective measures
Electrodermal activity
Movement behaviour
Objective measure
Real-time changes
Secondary tasks
Electrodes
To reference this document use:
http://resolver.tudelft.nl/uuid:de55233f-cc6a-4d6a-8894-4667d0cdd1f0
DOI
https://doi.org/10.1016/j.trf.2019.05.021
TNO identifier
867840
ISSN
1369-8478
Source
Transportation Research Part F: Traffic Psychology and Behaviour, 64, 401-412
Document type
article