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Title: Supporting Multiple Cognitive Processing Styles Using Tailored Support Systems

Abstract

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 ecological 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.

Authors:
; ;
Publication Date:
Research Org.:
Idaho National Laboratory (INL)
Sponsoring Org.:
DOE - NE
OSTI Identifier:
919559
Report Number(s):
INL/CON-07-12766
TRN: US0806433
DOE Contract Number:  
DE-AC07-99ID-13727
Resource Type:
Conference
Resource Relation:
Conference: 8th Joint Meeting and Conference of the Institute of Electrical and Electronics Engineers (IEEE) and,Monterey, CA,08/26/2007,08/31/2007
Country of Publication:
United States
Language:
English
Subject:
99 - GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ENGINEERS; FUNCTIONALS; MITIGATION; NUCLEAR POWER PLANTS; PERFORMANCE; PROCESSING; Alarting Systems; Cognitive Control Modes; Human Computer Interaction

Citation Formats

Tuan Q. Tran, Karen M. Feigh, and Amy R. Pritchett. Supporting Multiple Cognitive Processing Styles Using Tailored Support Systems. United States: N. p., 2007. Web.
Tuan Q. Tran, Karen M. Feigh, & Amy R. Pritchett. Supporting Multiple Cognitive Processing Styles Using Tailored Support Systems. United States.
Tuan Q. Tran, Karen M. Feigh, and Amy R. Pritchett. Wed . "Supporting Multiple Cognitive Processing Styles Using Tailored Support Systems". United States. https://www.osti.gov/servlets/purl/919559.
@article{osti_919559,
title = {Supporting Multiple Cognitive Processing Styles Using Tailored Support Systems},
author = {Tuan Q. Tran and Karen M. Feigh and Amy R. Pritchett},
abstractNote = {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 ecological 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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2007},
month = {8}
}

Conference:
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