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Abstract

Macrocognition is an emerging theoretical and methodological framework for describing cognitive work as it naturally occurs (Klein, Ross et al., 2003). It can form the basis for the design of complex cognitive systems that augment, rather than degrade, proficient performance. This paper presents a method for using macrocognition during design to anticipate how a complex cognitive system will impact cognition. We have developed a suite of metrics we call “Cognitive Impact Metrics” (CIM). Because they highlight the necessary features of and potential barriers to proficient cognitive performance, these metrics and their associated measures provide us with a framework in which we can generate predictions about where and how our system will enhance or hinder our performance. Application of CIM may be particularly useful in the design of systems where many potential applications must be culled down to a more manageable set of candidates.

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Cognitive Impact Metrics: Applying Macrocognition during the Design of Complex Cognitive Systems

Abstract

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References