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PRODID:Linklings LLC
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TZID:America/Chicago
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20251016T135149Z
LOCATION:Grand Hall J
DTSTART;TZID=America/Chicago:20251014T121000
DTEND;TZID=America/Chicago:20251014T123000
UID:HFESAM_ASPIRE 2025_sess262_LECT369@linklings.com
SUMMARY:Decoding driving words: a holistic exploration of older drivers’ e
 arly-stage ADAS adaptation using Structural Topic Modeling on naturalistic
  driving data
DESCRIPTION:Dan Liang and Nathan Lau (Virginia Polytechnic Institute and S
 tate University) and Jon Antin (Virginia Tech Transportation Institute)\n\
 nAdvanced Driver Assistance Systems (ADAS), such as Adaptive Cruise Contro
 l (ACC) and Lane Keeping Assist (LKA), offer potential safety benefits for
  older drivers. The early adaptation phase is crucial for both long-term a
 doption 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 to
 pic prevalence related to weeks of ADAS exposure and weekly median trust a
 nd satisfaction ratings for ACC and LKA.\n\nThe results revealed (1) incre
 asing prevalence of active steering inputs on highway is associated with c
 ontinued exposure to ADAS presence in weeks, (2) decreasing prevalence of 
 active speed adjustments on highway is associated with higher ACC trust an
 d satisfaction, (3) increasing prevalence of active steering inputs in mix
 ed speed environments is associated with higher ACC trust and satisfaction
  rating, (4) decreasing prevalence of active speed adjustment on highway i
 s associated with higher LKA trust. \n\nThese findings offer insights for 
 designing policies and training to help older novice drivers integrate ADA
 S features effectively, foster appropriate system use, and develop accurat
 e mental models of ADAS capabilities and limits.\n\nTrack: Surface Transpo
 rtation\n\nSession Chairs: Manhua Wang (University of Michigan) and Myeong
 kyu Lee (Purdue University)\n\n
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