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DTSTART:19700101T000000
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BEGIN:VEVENT
DTSTAMP:20241014T203102Z
LOCATION:FLW Salon H
DTSTART;TZID=America/Phoenix:20240912T165500
DTEND;TZID=America/Phoenix:20240912T171500
UID:HFESAM_ASPIRE - Presented by HFES_sess262_LECT481@linklings.com
SUMMARY:Understanding Fatigue Patterns for Dynamic Tasks: A Recurrence Mod
 el Approach
DESCRIPTION:Lecture\n\nZahra Vahedi, Mohammad Shakiba, and Setarhe Kazemi 
 Kheiri (University at Buffalo); Fadel Megahed (Miami University); Hongyue 
 Sun (University of Georgia); and Lora Cavuoto (University at Buffalo)\n\nT
 his study used a recurrence model to evaluate fatigue in shoulder-level or
 der picking and examined the application of a recurrence model to incorpor
 ate factors associated with energy decaying and boosting. In this model, t
 he initial work cycle was described using an exponential function with a f
 ully rested initial energy. β was defined as the decay rate, and α was def
 ined as energy gain from resting. t_2 was the expected time to full fatigu
 e, with resting periods in between. \n\n14 adults (7 male) were invited fo
 r a 3-hour-order-picking experimental study. The results demonstrated a st
 rong model fit (R^2 mean = 0.89). Fatigue accumulation was significantly i
 nfluenced by period, pace, and personal factors such as sex and BMI. Chang
 es in task conditions affected time to fatigue and energy recovery, underl
 ining the model's predictive ability to gauge fatigue development. The fin
 dings highlight the importance of individual differences and task dynamics
  in fatigue management.\n\nTrack: Occupational Ergonomics\n\nSession Chair
 : Suman Chowdhury (Texas Tech University)
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