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PRODID:Linklings LLC
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BEGIN:VEVENT
DTSTAMP:20251016T135152Z
LOCATION:Riverside East
DTSTART;TZID=America/Chicago:20251014T173000
DTEND;TZID=America/Chicago:20251014T183000
UID:HFESAM_ASPIRE 2025_sess131_POST419@linklings.com
SUMMARY:A Driver-In-The-Loop Study of Human-AI Joint Replanning
DESCRIPTION:Salvatore Hargis, Connor Kannally, and Martijn IJtsma (The Ohi
 o State University)\n\nThis study investigates human-AI teaming requiremen
 ts in the context of ill-structured replanning tasks, where evolving goals
 , ambiguous constraints, and shifting environmental states create coordina
 tion demands with AI agents. We conducted a high-fidelity staged world exp
 eriment using a driver-in-the-loop simulation, wherein participants comple
 ted two event-driven driving scenarios using one of two AI assistant archi
 tectures. These prototypes embodied distinct functionality and coordinatio
 n strategies grounded in a Flexecution model of replanning. Our mixed-meth
 od analysis draws from observations and qualitative interviews to evaluate
  how participants navigated the trade space between the cognitive benefits
  of AI support and the coordination overhead of engaging with the system. 
 Results reveal how contextual control modes modulate interaction strategie
 s and suggest design implications for AI teammates that better support hum
 an adaptation under varying workload conditions and temporal constraints.\
 n\n
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