Work domain analysis and sensors II: Pasteurizer II case study

Reising, DVC and Sanderson, PM (2002) Work domain analysis and sensors II: Pasteurizer II case study. International Journal of Human-computer Studies, 56 6: 597-637. doi:10.1006/ijhc.1005

Author Reising, DVC
Sanderson, PM
Title Work domain analysis and sensors II: Pasteurizer II case study
Journal name International Journal of Human-computer Studies   Check publisher's open access policy
ISSN 1071-5819
Publication date 2002
Sub-type Article (original research)
DOI 10.1006/ijhc.1005
Volume 56
Issue 6
Start page 597
End page 637
Total pages 41
Editor B. R. Gaines
Place of publication London
Publisher Academic Press Ltd, Elsevier Science Ltd
Collection year 2002
Language eng
Subject C1
380000 Behavioural and Cognitive Sciences
780108 Behavioural and cognitive sciences
Abstract In this paper we use sensor-annotated abstraction hierarchies (Reising & Sanderson, 1996, 2002a,b) to show that unless appropriately instrumented, configural displays designed according to the principles of ecological interface design (EID) might be vulnerable to misinterpretation when sensors become unreliable or are unavailable. Building on foundations established in Reising and Sanderson (2002a) we use a pasteurization process control example to show how sensor-annotated AHs help the analyst determine the impact of different instrumentation engineering policies on a configural display that is part of an ecological interface. Our analyses suggest that configural displays showing higher-order properties of a system are especially vulnerable under some conservative instrumentation configurations. However, sensor-annotated AHs can be used to indicate where corrective instrumentation might be placed. We argue that if EID is to be effectively employed in the design of displays for complex systems, then the information needs of the human operator need to be considered while instrumentation requirements are being formulated. Rasmussen's abstraction hierarchy-and particularly its extension to the analysis of information captured by sensors and derived from sensors-may therefore be a useful adjunct to up-stream instrumentation design. (C) 2002 Elsevier Science Ltd. All rights reserved.
Keyword Computer Science, Cybernetics
Psychology, Multidisciplinary
Workdomain Analysis
Abstraction Hierarchy
Ecological Interface Design
Human-machine Systems
Q-Index Code C1

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
School of Information Technology and Electrical Engineering Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 13 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 19 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Tue, 14 Aug 2007, 17:56:23 EST