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TZID:America/Phoenix
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DTSTART:19700101T000000
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BEGIN:VEVENT
DTSTAMP:20241014T203101Z
LOCATION:FLW Salon B
DTSTART;TZID=America/Phoenix:20240910T094500
DTEND;TZID=America/Phoenix:20240910T100500
UID:HFESAM_ASPIRE - Presented by HFES_sess121_LECT507@linklings.com
SUMMARY:Applying the SEEV Model to Assess Where People Will Look:  Practic
 al Considerations
DESCRIPTION:Lecture\n\nPaul Green (University of Michigan)\n\nFor safety-c
 ritical tasks, such as landing an airplane and driving through an intersec
 tion, operators must find critical information quickly, which depends upon
  where they are likely to look.  This can be determined using the SEEV com
 putational model which includes 4 primary factors:  Salience, Effort, Expe
 ctancy, and Value. \n\nTo assist the practitioner in applying the model, t
 his paper describes each factor in detail, provides example hand calculati
 ons, and identifies computational software for complex analyses.  More spe
 cifically, 5 questions are addressed.\n\n•	What is the SEEV model?\n•	How 
 are dwell percentages computed using SEEV?\n•	What are some SEEV-related m
 ethods/software for estimating glance data?\n-	Examples include the Automa
 tion Design Advisor Tool (ADAT), the Adaptive Information Expectancy Model
 , the Human Efficiency Evaluator, the Konect Value, Eijssen’s SEEV model, 
 among others.\n•	Do these applications improve the estimates of each of th
 e SEEV factors?\n•	What is the availability of the associated software?\n\
 nTrack: Human Performance Modeling\n\nSession Chair: Na Du (University of 
 Pittsburgh)
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