Two Methods for Control Task Analysis

2007 ◽  
Vol 51 (4) ◽  
pp. 293-297 ◽  
Author(s):  
Tab Lamoureux ◽  
Jessica Sartori
Keyword(s):  
Task Analysis ◽  
Reliability And Validity ◽  
Control Task ◽  
Work Systems ◽  
Analysis Process ◽  
Cognitive Work ◽  
Work Domain Analysis ◽  
Procedural Guidance ◽  
And Control ◽  
Work Domain

Cognitive Work Analysis (CWA; Vicente, 1999) is a five-step process by which to understand complex and dynamic work systems. We have been employing the first two steps of CWA, Work Domain Analysis (WDA) and Control Task Analysis (CTA) to investigate the development and maintenance of system/environment awareness, typically called ‘picture compilation’. There is little procedural guidance on how to carry out the CTA, and even less discussion of alternative interpretations of the analysis process. This paper describes two different methods of performing CTA that we have successfully employed in the course of our work. The relative strengths and weaknesses of each method are discussed and put into the context of procedural reliability and validity.

Using Work Domain Analysis to Evaluate the Impact of Digitization on Command and Control

2008 ◽  
Author(s):  
Daniel P. Jenkins ◽  
Neville A. Stanton ◽  
Paul M. Salmon ◽  
Guy H. Walker
Keyword(s):  
Command And Control ◽  
Domain Analysis ◽  
Work Domain Analysis ◽  
And Control ◽  
The Impact ◽  
Work Domain

Validating Methods in Cognitive Engineering: A Comparison of Two Work Domain Models

2002 ◽  
Vol 46 (3) ◽  
pp. 521-525 ◽  
Author(s):  
Ann M. Bisantz ◽  
Catherine M. Burns ◽  
Emilie Roth
Keyword(s):  
Cognitive Engineering ◽  
Domain Modeling ◽  
User Centered Design ◽  
Similar Time ◽  
Cognitive Work ◽  
Work Domain Analysis ◽  
Domain Models ◽  
Theoretical Considerations ◽  
Work Domain ◽  
Domain Constraints

Work domain analysis (WDA) is becoming a popular technique for the analysis of complex systems. WDA is one of the frameworks of Cognitive Work Analysis (CWA; Vicente, 1999) and can be used to gather work domain constraints as part of a user centered design process. In this paper, we discuss issues of inter-modeler reliability with WDA. The authors of this paper performed, over similar time periods, cognitive engineering analyses, including work domain analyses using abstraction hierarchy models, of two similar systems: naval combat vessels. In this paper, we compare these models for similarities and differences. Comparison indicated similarities in model scope and content, which would be an expected result of the application of a reliable modeling technique to two similar systems. Differences between the models included the use of multi-part vs. a single model to represent components of the overall ship-seacontact system, the related decisions to include sensors explicitly in the model, and the descriptions of abstract functions and constraints included in the two models. Exploration of these differences illuminated methodological as well as theoretical considerations in applying work domain modeling techniques that can provide guidance to other modelers.

Theoretical Concepts for Work Domain Analysis, the First Phase of Cognitive Work Analysis

2005 ◽  
Vol 49 (3) ◽  
pp. 249-253 ◽  
Author(s):  
Neelam Naikar
Keyword(s):  
Large Scale ◽  
Domain Analysis ◽  
Cognitive Work Analysis ◽  
Widespread Application ◽  
Theoretical Concepts ◽  
Work Analysis ◽  
Cognitive Work ◽  
Work Domain Analysis ◽  
Theoretical Issues ◽  
Work Domain

Cognitive work analysis (CWA) is gaining recognition as a promising approach for the analysis, design, and evaluation of complex, sociotechnical systems. However, the successful and widespread application of work domain analysis (WDA), the first phase of CWA, is limited by the lack of a coherent theoretical approach. This paper addresses a number of theoretical issues relating to WDA, including differences in the approaches of Rasmussen, Pejtersen & Goodstein (1994) and Vicente (1999), and it illustrates these theoretical issues with a work domain of a home — a 'system' that will be highly familiar to everyone. This research will help to: make WDA more accessible to researchers and practitioners who were not involved in the development of WDA or who cannot be apprenticed to experts in WDA; reduce the amount of time and effort it takes to perform WDA even for experts in the area; and facilitate the application of WDA to large-scale, industry projects.

scholarly journals Decision Support System Requirements Definition for Human Extravehicular Activity Based on Cognitive Work Analysis

2016 ◽  
Vol 11 (2) ◽  
pp. 136-165 ◽  
Author(s):  
Matthew James Miller ◽  
Kerry M. McGuire ◽  
Karen M. Feigh
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Systems Engineering ◽  
Support System ◽  
Extravehicular Activity ◽  
Cognitive Work ◽  
Work Domain Analysis ◽  
System Requirements ◽  
Work Functions ◽  
Work Domain

The design and adoption of decision support systems within complex work domains is a challenge for cognitive systems engineering (CSE) practitioners, particularly at the onset of project development. This article presents an example of applying CSE techniques to derive design requirements compatible with traditional systems engineering to guide decision support system development. Specifically, it demonstrates the requirements derivation process based on cognitive work analysis for a subset of human spaceflight operations known as extravehicular activity. The results are presented in two phases. First, a work domain analysis revealed a comprehensive set of work functions and constraints that exist in the extravehicular activity work domain. Second, a control task analysis was performed on a subset of the work functions identified by the work domain analysis to articulate the translation of subject matter states of knowledge to high-level decision support system requirements. This work emphasizes an incremental requirements specification process as a critical component of CSE analyses to better situate CSE perspectives within the early phases of traditional systems engineering design.

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