Evaluating design proposals for complex systems with work domain analysis

Naikar, Neelam and Sanderson, Penelope M. (2001) Evaluating design proposals for complex systems with work domain analysis. Human Factors, 43 4: 529-542. doi:10.1518/001872001775870322

Author Naikar, Neelam
Sanderson, Penelope M.
Title Evaluating design proposals for complex systems with work domain analysis
Journal name Human Factors   Check publisher's open access policy
ISSN 0018-7208
Publication date 2001-01-01
Year available 2001
Sub-type Article (original research)
DOI 10.1518/001872001775870322
Open Access Status
Volume 43
Issue 4
Start page 529
End page 542
Total pages 14
Place of publication Thousand Oaks, C.A., U.S.A.
Publisher Sage Publications
Language eng
Subject 1005 Communications Technologies
100503 Computer Communications Networks
Abstract In this paper we propose a new framework for evaluating designs based on work domain analysis, the first phase of cognitive work analysis. We develop a rationale for a new approach to evaluation by describing the unique characteristics of complex systems and by showing that systems engineering techniques only partially accommodate these characteristics. We then present work domain analysis as a complementary framework for evaluation. We explain this technique by example by showing how the Australian Defence Force used work domain analysis to evaluate design proposals for a new system called Airborne Early Warning and Control. This case study also demonstrates that work domain analysis is a useful and feasible approach that complements standard techniques for evaluation and that promotes a central role for human factors professionals early in the system design and development process. Actual or potential applications of this research include the evaluation of designs for complex systems.
Keyword Complex systems
work domain analysis
Australian Defence Force
Airborne Early Warning and Control
Cognitive systems
Systems engineering
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 43 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 64 times in Scopus Article | Citations
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Created: Mon, 13 Aug 2007, 22:55:52 EST