The Resource for Applied Cognitive and Systems Engineering (TRACE-SE): An Approach to Understanding the GAP

Abstract

Today's workplaces are complex organizations in which people connect to information, people, and the world through advanced technology. Accordingly, the nature of work evolves as the workplace adds technologies that challenge traditional skills and increase demands for highly specialized cognitive skills. Systems must therefore be designed to account for the cognitive strengths and limitations of users and support decision-based operations. Traditional systems engineering practices, however, frequently fail to expressly consider cognitive factors in design or consider them belatedly in the design cycle. As a result, systems are often designed that do not fully leverage the cognitive strengths of the human user or compensate for their limitations. Yet, embedding cognitive engineering methods into established systems engineering processes can be complex and expensive without tools to structure and support it. The Resource for Applied Cognitive Engineering and Systems Engineering (TRACE-SE) is a prototype web-based tool that can be used to begin bridging the gap that exists between cognitive and systems engineering. TRACE-SE provides the information needed to simultaneously support both cognitive and systems engineers in the design of user-centered systems that can produce superior decision making, improved safety, and greater operator productivity.

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References

Chrenka

Hutton

R. J. B.

Klinger

D. W.

Anastasi

(2001). The cognimeter: Focusing cognitive task analysis in the cognitive function model. In Proceedings of the Human Factors and Ergonomic Society 45^th Annual Meeting..

Kitzinger

(1994). The methodology of focus groups: The importance of interaction between research participants. Sociology of Health, 16, 103–121.

Millen

D. R.

(2000). Rapid ethnography: Time deepening strategies for HCI field research. In Proceedings on Designing Interactive Systems: Processes, Practices, Methods, and Techniques..

Muir

B. M.

(1994). Trust in automation, part I: Theoretical issues in the study of trust and human intervention in automated systems. Ergonomics, 37, 1905–1922.

Muir

B. M.

(1996). Trust in automation, part II: Experimental studies of trust and human intervention in a process control simulation. Ergonomics, 39, 429–460.

Parasuraman

Riley

V. A.

(1997). Humans and automation: Use, misuse, disuse, and abuse. Human Factors, 39, 230–253.

Parasuraman

Sheridan

T. B.

Wickens

C. D.

(2000). A model for types and levels of human interaction with automation. IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans, 30, 286–297.

Patterson

E. S.

Woods

D. D.

Sarter

N. B.

Watts-Perotti

(1998). Patterns in cooperative cognition. In Proceedings of the COOP 1998, Third International Conference on the Design of Cooperative Systems. Cannes, France, 26–29 May.

Stephens

(2005). Factor in the human to enhance capabilities. Wright-Patterson AFB Skywrighter, 46 (36).

10.

Wickens

C. D.

Hollands

J. G.

(2000). Engineering Psychology and Human Performance (3rd Ed.). Upper Saddle River, NJ: Prentice Hall.