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DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20251016T135148Z
LOCATION:Grand Hall J
DTSTART;TZID=America/Chicago:20251014T150000
DTEND;TZID=America/Chicago:20251014T152000
UID:HFESAM_ASPIRE 2025_sess263_LECT619@linklings.com
SUMMARY:Defining Prosocial Behavior in Traffic: Linking Behavior to Percep
 tion
DESCRIPTION:Sooyeon Kim (University of Wisconsin - Madison); Shashank Mehr
 otra, Kumar Akash, and Kevin Salubre (Honda Research Institute USA); and J
 ohn Lee (University of Wisconsin - Madison)\n\nThis study investigates pro
 social behavior – actions benefiting other road users – increasingly impor
 tant in traffic environments with diverse mobility options and autonomous 
 technologies. Despite growing relevance, research lacks empirically-valida
 ted definitions connecting behavioral metrics to perceived prosociality. U
 sing a 2×2 within-subjects design, we simulated pedestrian interactions va
 rying in coordination demands, time pressure, and spatial constraints to e
 licit prosocial responses. Analysis of behavioral metrics, linguistic patt
 erns, and time-series features revealed three prosociality dimensions: mov
 ement adaptation, spatial coordination, and prosocial awareness. Slower sp
 eed at minimum pedestrian proximity reliably predicted higher prosociality
 . Rapid speed variation, pattern complexity, and frequency of acceleration
 -deceleration shifts emerged as top predictors of prosocial intent, yieldi
 ng 75.8% classification accuracy. Our findings establish a behavioral-perc
 eptual framework linking driving patterns to perceived prosociality in tra
 ffic environments.\n\nTrack: Surface Transportation\n\nSession Chairs: All
 ison Bayro (Arizona State University, University of Illinois Chicago) and 
 Waverly Ocampo (San Jose State University)\n\n
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