Representing energy efficiency diagnosis strategies in cognitive work analysis

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• 作者：Antony Hilliard ; ^{anthill@mie.utoronto.ca} ; Greg A. Jamieson
• 关键词：Systems ; Engineering ; Cognitive ; Work analysis ; CWA ; Ecological interface design ; EID ; Energy ; Monitoring and targeting ; M&T ; Strategies ; Diagnosis
• 刊名：Applied Ergonomics
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：59
• 期：part_PB
• 页码：602-611
• 全文大小：2109 K
• 卷排序：59

文摘

This article describes challenges encountered in applying Jens Rasmussen's Cognitive Work Analysis (CWA) framework to the practice of energy efficiency Monitoring & Targeting (M&T). Eight theoretic issues encountered in the analysis are described with respect to Rasmussen's work and the modeling solutions we adopted. We grappled with how to usefully apply Work Domain Analysis (WDA) to analyze categories of domains with secondary purposes and no ideal grain of decomposition. This difficulty encouraged us to pursue Control Task (ConTA) and Strategies (StrA) analysis, which are under-explored as bases for interface design. In ConTA we found M&T was best represented by two interlinked work functions; one controlling energy, the other maintaining knowledge representations. From StrA, we identified a popular representation-dependent strategy and inferred information required to diagnose faults in system performance and knowledge representation. This article presents and discusses excerpts from our analysis, and outlines their application to diagnosis support tools.