BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20251016T135151Z
LOCATION:Grand Hall J
DTSTART;TZID=America/Chicago:20251014T133000
DTEND;TZID=America/Chicago:20251014T135000
UID:HFESAM_ASPIRE 2025_sess261_LECT144@linklings.com
SUMMARY:User-Centered Explainable Artificial Intelligence in Partially Aut
 omated Vehicles
DESCRIPTION:Katherine Garcia (Rice University), Jamie Duncan (Hamilton Col
 lege), and Jing Chen (Rice University)\n\nArtificial Intelligence (AI) has
  been integrated into emerging technologies, such as automated vehicles (A
 Vs), to help the vehicle sense the driving environment and make maneuvers.
  However, AI is imperfect and susceptible to errors. In partially AVs, the
  human driver is still needed to oversee the vehicle’s actions and take ov
 er when AI makes an incorrect identification. Explainable AI is needed for
  drivers to better calibrate their understanding of AI’s capabilities. The
  goal of the current study was to determine what AI explanation best suppo
 rts drivers’ mental models and understanding of the partially AV when enco
 untering various driving actions and road signs. Thirty-six participants w
 ere included in this 6 (driving scenario) x 3 (timing of the explanation) 
 within-subjects design. Drivers’ understanding and subjective evaluations 
 of the explanations were collected for 18 trials presented visually and au
 dibly through E-Prime. Results suggest that drivers prefer explanations th
 at occur before or during the action rather than after the action happens.
  Future studies can include driving scenarios where the partially AV does 
 not perform as expected to determine if drivers’ preferences regarding the
  explanations change. This study has significance in the fields of emergin
 g technology in transportation, human understanding of AI, and cybersecuri
 ty.\n\nTrack: Surface Transportation\n\nSession Chairs: Shannon Roberts (U
 niversity of Massachusetts, Amherst) and Stanislaus Oshimeje (Michigan Tec
 hnological University)\n\n
END:VEVENT
END:VCALENDAR