Presentation
Decoding driving words: a holistic exploration of older drivers’ early-stage ADAS adaptation using Structural Topic Modeling on naturalistic driving data
DescriptionAdvanced Driver Assistance Systems (ADAS), such as Adaptive Cruise Control (ACC) and Lane Keeping Assist (LKA), offer potential safety benefits for older drivers. The early adaptation phase is crucial for both long-term adoption and appropriate use of ADAS. This study applied Symbolic Aggregate Approximation and Structural Topic Modeling (STM) to naturalistic driving data to examine behavioral and perceptual adaptation. STM assessed how topic prevalence related to weeks of ADAS exposure and weekly median trust and satisfaction ratings for ACC and LKA.
The results revealed (1) increasing prevalence of active steering inputs on highway is associated with continued exposure to ADAS presence in weeks, (2) decreasing prevalence of active speed adjustments on highway is associated with higher ACC trust and satisfaction, (3) increasing prevalence of active steering inputs in mixed speed environments is associated with higher ACC trust and satisfaction rating, (4) decreasing prevalence of active speed adjustment on highway is associated with higher LKA trust.
These findings offer insights for designing policies and training to help older novice drivers integrate ADAS features effectively, foster appropriate system use, and develop accurate mental models of ADAS capabilities and limits.
The results revealed (1) increasing prevalence of active steering inputs on highway is associated with continued exposure to ADAS presence in weeks, (2) decreasing prevalence of active speed adjustments on highway is associated with higher ACC trust and satisfaction, (3) increasing prevalence of active steering inputs in mixed speed environments is associated with higher ACC trust and satisfaction rating, (4) decreasing prevalence of active speed adjustment on highway is associated with higher LKA trust.
These findings offer insights for designing policies and training to help older novice drivers integrate ADAS features effectively, foster appropriate system use, and develop accurate mental models of ADAS capabilities and limits.
Event Type
Lecture
TimeTuesday, October 14th12:10pm - 12:30pm CDT
LocationGrand Hall J
Surface Transportation
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