Bibliographic Citation | |
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Title | Behavior model for performance assessment. |
Creator/Author | Borwn-VanHoozer, S. A. |
Publication Date | 1999 Jul 23 |
OSTI Identifier | OSTI ID: 11907 |
Report Number(s) | ANL/ED/CP-99665 |
DOE Contract Number | W-31109-ENG-38 |
Other Number(s) | TRN: AH200119%%109 |
Resource Type | Conference |
Resource Relation | American Nuclear Society 1999 Winter Meeting, Long Beach, CA (US), 11/14/1999--11/18/1999 ; PBD: 23 Jul 1999 |
Research Org | Argonne National Lab., IL (US) |
Sponsoring Org | US Department of Energy (US) |
Subject | 22 GENERAL STUDIES OF NUCLEAR REACTORS ; HUMAN FACTORS; DECISION MAKING; PERFORMANCE; BEHAVIOR; MATHEMATICAL MODELS; FORECASTING; INFORMATION THEORY; REACTOR OPERATORS |
Description/Abstract | Every individual channels information differently based on their preference of the sensory modality or representational system (visual auditory or kinesthetic) we tend to favor most (our primary representational system (PRS)). Therefore, some of us access and store our information primarily visually first, some auditorily, and others kinesthetically (through feel and touch); which in turn establishes our information processing patterns and strategies and external to internal (and subsequently vice versa) experiential language representation. Because of the different ways we channel our information, each of us will respond differently to a task--the way we gather and process the external information (input), our response time (process), and the outcome (behavior). Traditional human models of decision making and response time focus on perception, cognitive and motor systems stimulated and influenced by the three sensory modalities, visual, auditory and kinesthetic. For us, these are the building blocks to knowing how someone is thinking. Being aware of what is taking place and how to ask questions is essential in assessing performance toward reducing human errors. Existing models give predications based on time values or response times for a particular event, and may be summed and averaged for a generalization of behavior(s). However, by our not establishing a basic understanding of the foundation of how the behavior was predicated through a decision making strategy process, predicative models are overall inefficient in their analysis of the means by which behavior was generated. What is seen is the end result. |
Country of Publication | United States |
Language | English |
Format | 7 pages |
Availability | INIS; OSTI as DE00011907 To purchase this media from NTIS, click here |
System Entry Date | 2001 Jun 19 |
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