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This content will become publicly available on December 1, 2025

Title: Building Contextualized Trust Profiles in Conditionally Automated Driving
Trust is crucial for ensuring the safety, security, and widespread adoption of automated vehicles (AVs), and if trust is lacking, drivers and the general public may hesitate to embrace this technology. This research seeks to investigate contextualized trust profiles in order to create personalized experiences for drivers in AVs with varying levels of reliability. A driving simulator experiment involving 70 participants revealed three distinct contextualized trust profiles (i.e., confident copilots, myopic pragmatists, and reluctant automators) identified through K-means clustering, and analyzed in relation to drivers' dynamic trust, dispositional trust, initial learned trust, personality traits, and emotions. The experiment encompassed eight scenarios where participants were requested to take over control from the AV in three conditions: a control condition, a false alarm condition, and a miss condition. To validate the models, a multinomial logistic regression model was constructed using the shapley additive explanations explainer to determine the most influential features in predicting contextualized trust profiles, achieving an F1-score of 0.90 and an accuracy of 0.89. In addition, an examination of how individual factors impact contextualized trust profiles provided valuable insights into trust dynamics from a user-centric perspective. The outcomes of this research hold significant implications for the development of personalized in-vehicle trust monitoring and calibration systems to modulate drivers' trust levels, thereby enhancing safety and user experience in automated driving.  more » « less
Award ID(s):
2138274
PAR ID:
10581359
Author(s) / Creator(s):
; ; ;
Publisher / Repository:
IEEE Transactions on Human-Machine Systems
Date Published:
Journal Name:
IEEE Transactions on Human-Machine Systems
Edition / Version:
1
Volume:
54
Issue:
6
ISSN:
2168-2291
Page Range / eLocation ID:
658 to 667
Subject(s) / Keyword(s):
Automated vehicles (AVs), emotion, personality traits, contextualized trust profiles.
Format(s):
Medium: X Size: 2.4 Other: pdf
Size(s):
2.4
Sponsoring Org:
National Science Foundation
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