Presentation
Trust in Level 3 Automated Vehicles: A Systematic Literature Review
SessionPoster Session 1
DescriptionLevel 3 automated vehicles present a unique challenge: while drivers may disengage from the driving task temporarily, they must be ready to resume control when the system reaches its limits. This conditional autonomy introduces complex trust dynamics between drivers and automation. To better understand how trust forms, breaks down, and recalibrates in this context, we conducted a systematic review of empirical studies on trust in Level 3 driving. The review identified six broad categories that influence trust: automation-related factors, environmental and scenario-based factors, driver characteristics and individual differences, communication and information presentation, non-driving tasks and cognitive load, and training, familiarization, and learning effects. Despite growing interest in this field, most research remains confined to controlled environments, with limited examination of trust in real-world contexts. Additionally, studies rely heavily on self-report measures and often assess individual factors in isolation, overlooking how trust evolves across different driving contexts. There is also no clear consensus on a standardized approach for measuring trust, and longitudinal investigations remain scarce. This presentation highlights key research gaps and offers directions for future work aimed at improving trust calibration and supporting safe, user-centered automated driving systems.
Event Type
Poster
TimeTuesday, October 14th5:30pm - 6:30pm CDT
LocationRiverside East