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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20251016T135157Z
LOCATION:Grand Hall J
DTSTART;TZID=America/Chicago:20251014T133000
DTEND;TZID=America/Chicago:20251014T143000
UID:HFESAM_ASPIRE 2025_sess261@linklings.com
SUMMARY:ST2: AI and Automated Vehicles
DESCRIPTION:Measuring Trust Degradation in AVs: Opportunities and Challeng
 es Using Body Posture and Deep Learning\n\nTrust is a critical factor in t
 he adoption of autonomous vehicles (AVs), yet critical errors (e.g., cyber
 security incidents) to AV operations can severely undermine it. Traditiona
 l trust assessments rely on subjective questionnaires, which may lack gran
 ularity and real-time applicability. This study...\n\n\nCherin Lim, Tianha
 o Xu, and Prashanth Rajivan (University of Washington)\n------------------
 ---\nExplaining Trust and Proactive Takeovers in Automated Driving: A Mach
 ine Learning Analysis with Neural, and Gaze Metrics\n\nDespite recent adva
 ncements towards fully automated vehicles (AVs), SAE L4/5 systems would li
 kely remain limited by their operational design domains. This study attemp
 ts to explain drivers’ trust towards partially automated vehicles (L2/3) a
 nd takeover decisions using gaze and neural data. Fif...\n\n\nYinsu Zhang,
  Xingjian Ma, Anthony McDonald, and Ranjana Mehta (University of Wisconsin
  - Madison)\n---------------------\nUser-Centered Explainable Artificial I
 ntelligence in Partially Automated Vehicles\n\nArtificial Intelligence (AI
 ) has been integrated into emerging technologies, such as automated vehicl
 es (AVs), to help the vehicle sense the driving environment and make maneu
 vers. However, AI is imperfect and susceptible to errors. In partially AVs
 , the human driver is still needed to oversee the v...\n\n\nKatherine Garc
 ia (Rice University), Jamie Duncan (Hamilton College), and Jing Chen (Rice
  University)\n\nTrack: Surface Transportation\n\nSession Chairs: Shannon R
 oberts (University of Massachusetts, Amherst) and Stanislaus Oshimeje (Mic
 higan Technological University)
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