TY - JOUR
T1 - Handling complex real-world data with two cognitive engineering tools
T2 - COGENT and MacSHAPA
AU - Sanderson, Penelope M.
AU - McNeese, Michael D.
AU - Zaff, Brian S.
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 1994/6
Y1 - 1994/6
N2 - The ultimate concern of cognitive engineering is how complex sociotechnical systems might be designed so that humans can work within them and control them safely and effectively. Because of this, large amounts of observational data analysis and knowledge elicitation are incorporated in cognitive engineering. At many points, these two methodologies coalesce. In this paper, we describe two complementary cognitive engineering software tools-MacSHAPA and COGENT-that are being developed alongside each other. MacSHAPA is designed for observational data analysis, and COGENT is designed for knowledge elicitation and cognitive engineering, but both sup-port requirements gathering. We first outline current trends in cognitive engineering that have given rise to the need for tools like MacSHAPA and COGENT. We then describe the two tools in more detail, and point to their similarities and differences. Finally, we show how the two tools are complementary, and how they can be used together in engineering psychology research.
AB - The ultimate concern of cognitive engineering is how complex sociotechnical systems might be designed so that humans can work within them and control them safely and effectively. Because of this, large amounts of observational data analysis and knowledge elicitation are incorporated in cognitive engineering. At many points, these two methodologies coalesce. In this paper, we describe two complementary cognitive engineering software tools-MacSHAPA and COGENT-that are being developed alongside each other. MacSHAPA is designed for observational data analysis, and COGENT is designed for knowledge elicitation and cognitive engineering, but both sup-port requirements gathering. We first outline current trends in cognitive engineering that have given rise to the need for tools like MacSHAPA and COGENT. We then describe the two tools in more detail, and point to their similarities and differences. Finally, we show how the two tools are complementary, and how they can be used together in engineering psychology research.
UR - http://www.scopus.com/inward/record.url?scp=0037741697&partnerID=8YFLogxK
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U2 - 10.3758/BF03204603
DO - 10.3758/BF03204603
M3 - Article
AN - SCOPUS:0037741697
SN - 0743-3808
VL - 26
SP - 117
EP - 124
JO - Behavior Research Methods, Instruments, & Computers
JF - Behavior Research Methods, Instruments, & Computers
IS - 2
ER -