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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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TZNAME:MST
DTSTART:19700101T000000
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BEGIN:VEVENT
DTSTAMP:20241014T203101Z
LOCATION:FLW Salon B
DTSTART;TZID=America/Phoenix:20240910T102500
DTEND;TZID=America/Phoenix:20240910T104500
UID:HFESAM_ASPIRE - Presented by HFES_sess121_LECT148@linklings.com
SUMMARY:Human-Integrated System Simulation Analysis “in the Wild”
DESCRIPTION:Lecture\n\nAndrew Abbate and Maia Cook (Pacific Science & Engi
 neering Group)\n\nSystems engineers often use model-based simulations to e
 stimate performance measures and compare designs before building expensive
  physical prototypes. One common limitation, however, is that the simulati
 on models exclude human operators. Human factors practitioners have develo
 ped model-based approaches that address this limitation, but they typicall
 y employ languages, tools, and modeling techniques that engineers cannot e
 asily adopt in real-world settings (i.e., "in the wild"), where preexistin
 g models and policies complicate human-model integration. To ease adoption
 , we propose a novel, lightweight approach that enables engineers to take 
 a working system model, add minimal human-model infrastructure, and run wh
 ole-system simulations that estimate operator-workload and task-duration e
 stimates in parallel with preexisting, technology-performance measures. We
  accomplish this by employing a widely utilized engineering language (SysM
 L) and tool (Cameo Systems Modeler) and imposing no requirements on preexi
 sting models. We demonstrate the approach using a simple model of a space 
 telescope system.\n\nTrack: Human Performance Modeling\n\nSession Chair: N
 a Du (University of Pittsburgh)
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