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date: 18 February 2020

Abstract and Keywords

This chapter provides an overview of decision-centered design. Five stages are described: preparation, knowledge elicitation, analysis and representation, application design, and evaluation. While these stages are common across cognitive engineering frameworks, decision-centered design is distinguished from others in several ways. Decision-centered design emphasizes the use of cognitive task analysis methods to uncover expertise and decision requirements. Decision-centered design advocates for designs that focus on difficult decisions and unexpected situations rather than routine operations. Decision-centered design focuses on identifying key decisions rather than exhaustively documenting all possible cognitive requirements. Decision-centered design recognizes that individual differences in expertise play an important role in decision making. Decision-centered design encourages incident-based evaluation strategies that are context specific, and include the use of cognitive performance indicators to assess how well the design supports cognitive performance. A broad range of decision-centered design projects are offered as examples.

Keywords: decision-centered design, cognitive engineering, cognitive performance indicators, decision-centered training, cognitive task analysis, critical decision method

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