Distributed cognition

A methodological note

Bibliographic Data

ID20484261
AuthorsDavid Kirsh (0000-0002-6242-5851, University of California San Diego, corresponding author)
Year2006
Volume14
Issue2
Pages249-262
Publication date2006-09-21
Open AccessNo
TypeARTICLE
VenuePragmatics & Cognition (JOURNAL)
Journal identifiersISSN: 0929-0907 • E-ISSN: 1569-9943
PublisherJohn Benjamins Publishing Company (PUBLISHER • NL)
DOI10.1075/pc.14.2.06kir
OpenAlexW2036285490
LanguageEN
Citations received23

Humans are closely coupled with their environments. They rely on being ‘embedded’ to help coordinate the use of their internal cognitive resources with external tools and resources. Consequently, everyday cognition, even cognition in the absence of others, may be viewed as partially distributed. As cognitive scientists our job is to discover and explain the principles governing this distribution: principles of coordination, externalization, and interaction. As designers our job is to use these principles, especially if they can be converted to metrics, in order to invent and evaluate candidate designs. After discussing a few principles of interaction and embedding I discuss the usefulness of a range of metrics derived from economics, computational complexity, and psychology

Business · Cognition · Cognitive psychology · Cognitive science · Embedding · Externalization · Knowledge management · Socially distributed cognition · Cognitive Science and Mapping · Computer Science · Engineering · Psychology · Social Psychology · Artificial Intelligence

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