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VERSION:2.0
PRODID:Linklings LLC
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TZID:America/Phoenix
X-LIC-LOCATION:America/Phoenix
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TZOFFSETFROM:-0700
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DTSTART:19700101T000000
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BEGIN:VEVENT
DTSTAMP:20241014T203101Z
LOCATION:FLW Salon A
DTSTART;TZID=America/Phoenix:20240911T133000
DTEND;TZID=America/Phoenix:20240911T135000
UID:HFESAM_ASPIRE - Presented by HFES_sess198_LECT124@linklings.com
SUMMARY:How ADHD Self-Report Scale Scores Predict Vigilance Task Performan
 ce
DESCRIPTION:Lecture\n\nYazmin Diaz and Peter Hancock (University of Centra
 l Florida)\n\nAs technology advances, the integration of automation into h
 uman-machine systems is increasing and humans are more frequently assuming
  the role of monitor. Unfortunately, humans are poor monitors and struggle
  to sustain attention. This struggle is often greater for individuals with
  ADHD. As a result, they often exhibit impaired performance on vigilance t
 asks compared to their counterparts. Prior research has proposed that ADHD
  is more prevalent in the general population, with many people going undia
 gnosed. The present study sought to determine how differences in ADHD-like
  symptom manifestation predict vigilance task performance. The results pro
 vide evidence for a predictive relationship between subscale scores on the
  Adult ADHD Self-Report Scale and detection accuracy on a cognitive vigil.
  However, no significant relationship was found between scores and respons
 e time. This suggests that different dimensions of attention may influence
  performance on different task parameters. These differences should be con
 sidered when assigning monitoring roles to operators.\n\nTrack: Individual
  Differences in Performance\n\nSession Chair: Mustafa Demir (Texas A&M Uni
 versity)
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