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PRODID:Linklings LLC
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TZID:America/Phoenix
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DTSTART:19700101T000000
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BEGIN:VEVENT
DTSTAMP:20241014T203102Z
LOCATION:McArthur Ballroom
DTSTART;TZID=America/Phoenix:20240911T173000
DTEND;TZID=America/Phoenix:20240911T183000
UID:HFESAM_ASPIRE - Presented by HFES_sess107_POS382@linklings.com
SUMMARY:95. Eliciting Requirements and Recommendations for Training Macroc
 ognition in Teams: Considerations for Collaborative Problem Solving
DESCRIPTION:Poster\n\nNathan Sonnenfeld, Blake Nguyen, Giovani Diaz Alfaro
 , Vera Daniliv, Olivia Newton, Florian Jentsch, and Stephen Fiore (Univers
 ity of Central Florida)\n\nMany issues in training system design and devel
 opment may be mitigated by applying and improving requirements engineering
  processes. Building on prior work pertaining to team training and collabo
 rative problem solving (CPS), this work examines the value of empirical an
 d technical literature as a source for requirements elicitation. We apply 
 a novel approach—thematic inclusive artifact-based requirements analysis —
 to identify and consolidate excerpts containing requirements and other con
 siderations for training macrocognition in teams for CPS contexts. We supp
 lement this compilation with descriptives of sources and excerpts within i
 dentified thematic categories. Our methodological contribution supports tr
 aining practitioners who may be engaged in requirements activities during 
 training development, identifying evidence-based training practices, or ev
 aluating training. We discuss the benefits and limitations of this approac
 h in the context of current requirements engineering practices, future dir
 ections, and the value of published literature as a complementary source f
 or requirements elicitation in training system development.\n\nTrack: Aero
 space Systems, Cognitive Engineering & Decision Making, Computer Systems, 
 Forensics Professional, Health Care, Human Performance Modeling, Individua
 l Differences in Performance, Perception and Performance, Product Design, 
 Safety, Training, Usability and System Evaluation, Extended Reality
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