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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
TZOFFSETTO:-0700
TZNAME:MST
DTSTART:19700101T000000
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BEGIN:VEVENT
DTSTAMP:20241014T203101Z
LOCATION:Flagstaff
DTSTART;TZID=America/Phoenix:20240910T094500
DTEND;TZID=America/Phoenix:20240910T100500
UID:HFESAM_ASPIRE - Presented by HFES_sess123_LECT620@linklings.com
SUMMARY:Externalized and Extended Cognition:  Cognitive Offloading for Man
 ned-Unmanned Teaming
DESCRIPTION:Lecture\n\nGiovani Diaz Alfaro and Stephen Fiore (University o
 f Central Florida)\n\nTechnological advances are increasing the complexity
  of, interactivity with, and cognitive demands on, human agents, particula
 rly when AI is introduced. If we are to successfully reduce cognitive work
 load (CWL), we must adjust how we conceptualize cognition in manned-unmann
 ed teaming environments. Towards this end, we draw from cognitive science 
 theory, and the idea that the processes and products of cognition are exte
 nded across natural and artificial cognitive systems and embedded within a
  socio-technical environment. This necessitates a consideration of the sys
 tem and environment as the same cognitive unit as the operator. We take a 
 cognitive systems perspective and focus on the role of interaction and int
 erdependence of human-machine teaming to provide insights for mitigating w
 orkload by extending cognition via scaffolding and offloading. Through thi
 s application of extended cognition theory, we offer a multi-disciplinaril
 y informed approach, allowing us to provide a set of theoretically grounde
 d research questions for understanding and improving workload.\n\nTrack: H
 uman AI Robot Teaming (AI)\n\nSession Chair: Jennifer Mitchell (Virginia P
 olytechnic Institute and State University)
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