TY - GEN
T1 - Supporting multiple cognitive processing styles using tailored support systems
AU - Tran, Tuan Q.
AU - Feigh, Karen M.
AU - Pritchett, Amy R.
PY - 2007
Y1 - 2007
N2 - According to theories of cognitive processing style or cognitive control mode, human performance is more effective when an individual's cognitive state (e.g., intuition/scramble vs. deliberate/strategic) matches his/her ecological constraints or context (e.g., utilize intuition to strive for a "good-enough" response instead of deliberating for the "best" response under high time pressure). Ill-mapping between cognitive state and ecolgoical constraints are believed to lead to degraded task performance. Consequently, incorporating support systems which are designed to specifically address multiple cognitive and functional states e.g., high workload, stress, boredom, and initiate appropriate mitigation strategies (e.g., reduce information load) is essential to reduce plant risk. Utilizing the concept of Cognitive Control Models, this paper will discuss the importance of tailoring support systems to match an operator's cognitive state, and will further discuss the importance of these ecological constraints in selecting and implementing mitigation strategies for safe and effective system performance. An example from the nuclear power plant industry illustrating how a support system might be tailored to support different cognitive states is included.
AB - According to theories of cognitive processing style or cognitive control mode, human performance is more effective when an individual's cognitive state (e.g., intuition/scramble vs. deliberate/strategic) matches his/her ecological constraints or context (e.g., utilize intuition to strive for a "good-enough" response instead of deliberating for the "best" response under high time pressure). Ill-mapping between cognitive state and ecolgoical constraints are believed to lead to degraded task performance. Consequently, incorporating support systems which are designed to specifically address multiple cognitive and functional states e.g., high workload, stress, boredom, and initiate appropriate mitigation strategies (e.g., reduce information load) is essential to reduce plant risk. Utilizing the concept of Cognitive Control Models, this paper will discuss the importance of tailoring support systems to match an operator's cognitive state, and will further discuss the importance of these ecological constraints in selecting and implementing mitigation strategies for safe and effective system performance. An example from the nuclear power plant industry illustrating how a support system might be tailored to support different cognitive states is included.
UR - http://www.scopus.com/inward/record.url?scp=49749104859&partnerID=8YFLogxK
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U2 - 10.1109/HFPP.2007.4413204
DO - 10.1109/HFPP.2007.4413204
M3 - Conference contribution
AN - SCOPUS:49749104859
SN - 1424403065
SN - 9781424403066
T3 - IEEE Conference on Human Factors and Power Plants
SP - 189
EP - 194
BT - Joint 8th IEEE HFPP Conference on Human Factor and Power Plants and 13th HPRCT Annual Workshop on Human Performance, Root Cause, Trending, Operating Experience, Self Assessment
T2 - Joint 8th IEEE HFPP Conference on Human Factor and Power Plants and 13th HPRCT Annual Workshop on Human Performance, Root Cause, Trending, Operating Experience, Self Assessment
Y2 - 26 August 2007 through 31 August 2007
ER -