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PRODID:Linklings LLC
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TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20251016T135137Z
LOCATION:Grand Hall K
DTSTART;TZID=America/Chicago:20251016T093000
DTEND;TZID=America/Chicago:20251016T110000
UID:HFESAM_ASPIRE 2025_sess251_SYM104@linklings.com
SUMMARY:Visual Perception and Tracking Research in the Era of Artificial I
 ntelligence
DESCRIPTION:Michelle Rusch and Stephen B. Gilbert (Iowa State University),
  John Lee (University of Wisconsin-Madison), Jundi Liu (Iowa State Univers
 ity), Claudia Mello-Thomas (University of Iowa), Matthew Rizzo (University
  of Nebraska Medical Center), and Inki Kim (University of Illinois)\n\nUnd
 erstanding visual processing is an important topic of HFE research, sheddi
 ng light on human states and functions. As technology advances, so too doe
 s the ability to track vision and user interactions with precision, openin
 g new doors for studying how people engage with the world around them. Mor
 e recently, artificial intelligence (AI) and machine learning (ML) have tr
 ansformed vision and attention research by uncovering subtle patterns surp
 assing traditional monitoring methods to deliver accurate, predictive, and
  actionable insights. \n\nThis symposium has invited a diverse group of le
 aders to share cutting-edge insights from fields like healthcare and trans
 portation, all with a shared passion for pushing the boundaries of user tr
 acking through AI and ML. Each presenter will offer their unique perspecti
 ve on how AI is shaping the future of vision research. Attendees can look 
 forward to expert insights on the latest advancements, AI-driven strategie
 s to enhance methods, and a glimpse into the exciting future of advanced a
 nalytics in human-AI collaboration. Discussion will address how:\n●	AI/ML 
 methodology has the potential to transform human visual perception and beh
 aviors in healthcare settings, human-robot interactions, human-vehicle int
 eractions and trust-aware adaptive systems \n●	Human-AI collaboration can 
 be facilitated by ML of visual perception and mental models\n\nTrack: Perc
 eption and Performance\n\nSession Chairs: Michelle Rusch (Iowa State Unive
 rsity) and Inki Kim (University of Illinois at Urbana–Champaign, Grainger 
 College of Engineering)\n\n
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