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DTSTAMP:20251016T135159Z
LOCATION:Grand Hall L
DTSTART;TZID=America/Chicago:20251016T093000
DTEND;TZID=America/Chicago:20251016T103000
UID:HFESAM_ASPIRE 2025_sess231@linklings.com
SUMMARY:HPM3: Computational and Biophysical Models of Human Performance
DESCRIPTION:Applications of Motion Capture in Amusement Ride and Devices A
 ssessments: Exploring Its Role in Evaluating Rider Interaction, Comfort, a
 nd Safety\n\nAssessments of amusement rides and devices require considerat
 ion of human interaction, movement, and performance throughout the process
 . Traditional assessment methods for evaluating amusement rides (i.e., rol
 lercoasters) involve a singular sensor measuring accelerations, aiming to 
 evaluate the ride...\n\n\nRosemarie Figueroa Jacinto (Rimkus, belongIN) an
 d Rachel Hybart and Jessica Zendler (Rimkus)\n---------------------\nCANCE
 LED - Biomathematical Modeling of Fatigue and Cognitive Performance\n\nCog
 nitive fatigue is a prevalent factor in military communities, resulting in
  performance degradations and contributing to costly mishaps.  It is criti
 cal that organizations can predict fatigue effects of cognitive processes 
 in order to implement countermeasures to allay fatigue.  Biomathematical m
 o...\n\n\nBella Veksler (TiER1 Performance); Megan Morris (U.S. Air Force 
 Research Laboratory); Garrett Swan (Aptima, Inc.); Arielle Stephenson (BAE
  Systems Inc.); and Jessica Tuttle (University of Dayton Research Institut
 e)\n---------------------\nHuman Performance Modeling with Natural Languag
 e (HPM-NL) for Upper-limb Prostheses: Generative pre-trained transformer (
 GPT)-based rapid HPM under low hallucination\n\nAccurately predicting how 
 people use prosthetic hands is key to improving their design and usability
 . Traditional human performance modeling (HPM) methods—like GOMS, ACT-R, o
 r QN-MHP—are effective but often difficult to use, requiring expert knowle
 dge and extensive time. We present HPM-N...\n\n\nJunho Park, Reyansh BADHW
 AR, Parshva Dave, and Zehaan Walji (University of Calgary)\n\nTrack: Human
  Performance Modeling\n\nSession Chairs: Ji-Eun Kim (University of Washing
 ton) and Yutong Zhang (University of Pittsburgh)
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