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VERSION:2.0
PRODID:Linklings LLC
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TZID:America/Los_Angeles
X-LIC-LOCATION:America/Los_Angeles
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TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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BEGIN:VEVENT
DTSTAMP:20261012T210907Z
LOCATION:Summit Pavilion
DTSTART;TZID=America/Los_Angeles:20261021T173000
DTEND;TZID=America/Los_Angeles:20261021T183000
UID:HFESAM_ASPIRE 2026_sess257_POST505@linklings.com
SUMMARY:A Signal Detection Analysis of Visuo-Tactile Dual-Tasking Performa
 nce Under Varying Temporal Task Loads
DESCRIPTION:Mohamad El Iskandarani, Peiyu Zhang, Matthew Bolton, and Sara 
 Lu Riggs (University of Virginia)\n\nUnderstanding how modality and tempor
 al load influence dual-tasking performance is important for designing inte
 rfaces in multitasking settings like aviation and unmanned aerial vehicle 
 operations. This study examined whether tactile detection reduces dual-tas
 k costs compared to visual detection when paired with a visual tracking ta
 sk, and whether this advantage persists as temporal task load increases. T
 hirty-eight participants completed a visual tracking task and a detection 
 task concurrently. The detection task was presented either visually or tac
 tually, and temporal task load was manipulated by varying the stimulus pre
 sentation rate. Performance was analyzed using signal detection theory mea
 sures to determine whether differences between visual and tactile detectio
 n reflected changes in perceptual sensitivity, response bias, or both. Tac
 tile detection produced smaller dual-task costs than visual detection acro
 ss hit rate, false alarm rate, sensitivity, and response bias. Critically,
  tactile detection better preserved sensitivity under dual-task conditions
 , suggesting reduced perceptual competition with the visual tracking task.
  However, higher temporal load still degraded performance in the tactile c
 ondition. These findings support multimodal interface design while highlig
 hting limits of modality diversification.\n\n
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