Sensemaking (information science)
While sensemaking has been studied by other disciplines under other names for centuries, in information science and computer science the term "sensemaking" has primarily marked two distinct but related topics. Sensemaking was introduced as a methodology by Brenda Dervin in the 1980s and to human–computer interaction by PARC researchers Daniel M. Russell, Mark Stefik, Peter Pirolli, and Stuart Card in 1993.
In information science, the term is often written as "sense-making". In both cases, the concept has been used to bring together insights drawn from philosophy, sociology, and cognitive science. Sensemaking research is therefore often presented as an interdisciplinary research programme.
As a process
Given a body of data, sensemaking can be described as the process of developing a representation and encoding data in that representation to answer questions specific to a task, such as decision-making and problem-solving. Gary A. Klein and colleagues conceptualize sensemaking as a set of processes that is initiated when an individual or organization recognizes the inadequacy of their current understanding of events.Sensemaking is an active two-way process of fitting data into a frame and fitting a frame around the data. Neither data nor frame comes first; data evoke frames and frames select and connect data. When there is no adequate fit, the data may be reconsidered or an existing frame may be revised. This description resembles the recognition-metacognition model, which describes the metacognitive processes that are used by individuals to build, verify, and modify working models in situational awareness to account for an unrecognised situation. Such notions also echo the processes of assimilation and accommodation in Jean Piaget's theory of cognitive development.