Work domain analysis and sensors I: principles and simple example

Reising, DVC and Sanderson, PM (2002) Work domain analysis and sensors I: principles and simple example. International Journal of Human-computer Studies, 56 6: 569-596.


Author Reising, DVC
Sanderson, PM
Title Work domain analysis and sensors I: principles and simple example
Journal name International Journal of Human-computer Studies   Check publisher's open access policy
ISSN 1071-5819
Publication date 2002
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1006/ijhc.1006
Volume 56
Issue 6
Start page 569
End page 596
Total pages 28
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 establish a foundation for understanding the instrumentation needs of complex dynamic systems if ecological interface design (EID)-based interfaces are to be robust in the face of instrumentation failures. EID-based interfaces often include configural displays which reveal the higher-order properties of complex systems. However, concerns have been expressed that such displays might be misleading when instrumentation is unreliable or unavailable. Rasmussen's abstraction hierarchy (AH) formalism can be extended to include representations of sensors near the functions or properties about which they provide information, resulting in what we call a sensor-annotated abstraction hierarchy. Sensor-annotated AHs help the analyst determine the impact of different instrumentation engineering policies on higher-order system information by showing how the data provided from individual sensors propagates within and across levels of abstraction in the AH. The use of sensor-annotated AHs with a configural display is illustrated with a simple water reservoir example. We argue that if EID is to be effectively employed in the design of interfaces for complex systems, then the information needs of the human operator need to be considered at the earliest stages of system development while instrumentation requirements are being formulated. In this way, Rasmussen's AH promotes a formative approach to instrumentation engineering. (C) 2002 Elsevier Science Ltd. All rights reserved.
Keyword Computer Science, Cybernetics
Ergonomics
Psychology, Multidisciplinary
Work Domain Analysis
Sensors
Instrumentation
Abstraction Hierarchy
Ecological Interface Design
Nuclear-power-plants
Human-machine Systems
Skill Acquisition
Signal Validation
Displays
Diagnosis
Strategies
Automation
Operators
Q-Index Code C1
Additional Notes This document is a journal review.

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: Excellence in Research Australia (ERA) - Collection
School of Information Technology and Electrical Engineering Publications
 
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