Paper Info
Title
Risk and Trust in artificial intelligence technologies: A case study of Autonomous Vehicles
Abstract
This study investigates how risk influences users’ trust before and after interactions with technologies such as autonomous vehicles (AVs’). Also, the psychophysiological correlates of users’ trust from users” eletrodermal activity responses. Eighteen (18) carefully selected participants embark on a hypothetical trip playing an autonomous vehicle driving game. In order to stay safe, throughout the drive experience under four risk conditions (very high risk, high risk, low risk and no risk) that are based on automotive safety and integrity levels (ASIL D, C, B, A), participants exhibit either high or low trust by evaluating the AVs’ to be highly or less trustworthy and consequently relying on the Artificial intelligence or the joystick to control the vehicle. The result of the experiment shows that there is significant increase in users’ trust and user's delegation of controls to AVs’ as risk decreases and vice-versa. In addition, there was a significant difference between user's initial trust before and after interacting with AVs’ under varying risk conditions. Finally, there was a significant correlation in users’ psychophysiological responses (electrodermal activity) when exhibiting higher and lower trust levels towards AVs’. The implications of these results and future research opportunities are discussed.
Year
DOI
Venue
2020
10.1109/HSI49210.2020.9142686
2020 13th International Conference on Human System Interaction (HSI)
Keywords
DocType
ISSN
Trust,Risk,Autonomous vehicle,Electrodermal activity
Conference
2158-2246
ISBN
Citations 
PageRank 
978-1-7281-7392-4
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Ighoyota Ben. Ajenaghughrure100.34
Sonia Claudia da Costa Sousa200.34
David Lamas32913.46