The Variations of Recognition Primed Decision-Making and How it Informs Design Decision-Making

Abstract

Motivation-The Recognition Primed Decision-Making model (RPD) (Klein, 1999) has been used to describe Design Decision-Making (DDM). Originally the RPD model was a multi-stage model but it has matured into three variations to better describe differing situations that one could encounter. These variations have not been reflected in the DDM literature. Research approach-Theoretical Thematic Analysis was conducted, based on six semi-structured interviews with Interaction Designers. Findings-Three themes were identified: 1) the use of analogies, 2) the impact of constraints, and 3) the use of mental simulation. Value-This study aims to update the current understanding of DDM to be more in line with the current NDM literature. Take away message-The third variation of the RPD model is best at encapsulating the DDM process exhibited by participants, although none of the variations could account for results such as the persistence of the initial analogy.

On the realization of the recognition-primed decision model for artificial agents

“…The authors could not find studies suggesting a rigorous methodology to implement the RPD model. The majority of the literature seen, even where the researchers claim their model as quantitative, present their realization of RPDM as more descriptive or sometimes less formal than RPDM itself [6,25,27,41,42,45,53]. This work aims to add more precisely defined components of a realization of RPDM.…”