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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:20251016T135131Z
LOCATION:Grand A
DTSTART;TZID=America/Chicago:20251014T115000
DTEND;TZID=America/Chicago:20251014T121000
UID:HFESAM_ASPIRE 2025_sess219_LECT453@linklings.com
SUMMARY:Measuring the Effect of a Powered Ankle Exoskeleton on Directed At
 tention
DESCRIPTION:Caleb Jeanniton (University of Michigan, Ann Arbor); Brian Bau
 m and Harvey Edwards (MIT Lincoln Laboratory); and Leia Stirling (Universi
 ty of Michigan, Ann Arbor)\n\nExoskeletons are a wearable technology that 
 can augment users’ mobility; however, understanding of their influence on 
 navigational decisions is limited. Street crossing is a safety-critical na
 vigational task performed in urban environments and requires adequate situ
 ation awareness, which includes directed attention – the deliberate act of
  concentration. Evaluating whether exoskeletons affect users’ directed att
 ention is beneficial because this technology intends to support wearers pe
 rforming other recreational and industrial activities. This study evaluate
 d whether the Dephy ExoBoot and an approaching vehicle affect head directi
 ons at a simulated traffic intersection. Adults without mobility limitatio
 ns (n=20) were familiarized with the exoskeleton and made crossing decisio
 ns with and without it as they approached the intersection on a self-paced
  treadmill. A Linear Mixed Effects (LME) model was fit for the percentage 
 of time in each head direction with participant as a random effect, and fi
 xed effects of Distance, Exoskeleton Presence, and Vehicle Presence. The L
 ME model did not support consistent influences of the exoskeleton or vehic
 le on head direction across participants. A cluster analysis of head-direc
 tion percentages supported gender- and height-specific strategies for envi
 ronmental scanning. Methods to assess how wearable technologies impact att
 ention enable system designs that afford users sufficient cognitive resour
 ces to perform other tasks.\n\nTrack: Cognitive Engineering & Decision Mak
 ing\n\nSession Chair: xiaoli wu (Nanjing University of Science and Technol
 ogy, University College London)\n\n
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