Distributed cognition: Difference between revisions

Revision as of 02:51, 14 April 2021

Revision as of 02:52, 14 April 2021

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Hutchins also examined another scene of distributed cognition within the context of navigating a US navy vessel.<ref>{{cite book | vauthors = Caroll JM |title= HCI Models, Theories, and Frameworks: Toward a Multidisciplinary Science |date=2003 |publisher=Morgan Kaufmann |___location=San Francisco, Calif. |isbn=978-0-08-049141-7}}</ref> In his book on USS Palau,<ref>{{cite book | vauthors = Hutchins E |title=Cognition in the wild |date=1995 |publisher=MIT Press |___location=Cambridge, Mass. |isbn=978-0-262-58146-2 | url = https://books.google.com/books?id=CGIaNc3F1MgC&printsec=frontcover#v=onepage&q&f=false}}</ref> he explains in detail how distributed cognition is manifested through the interaction between crew members as they interpret, process, and transform information into various representational states in order to safely navigate the ship. In this functional unit, crew members (e.g. pelorus operators, bearing takers, plotters, and the ship's captain) play the role of actors who transform information into different representational states (i.e. triangulation, landmark sightings, bearings, and maps). In this context, navigation is embodied through the combined efforts of actors in the functional unit.

In his study on process, representation and taskworldtask world, Mark Perry<ref name = "Perry_1998" (1998)/> demonstrated how distributed cognition analysis can be conducted in a field study. His example was design analysis in [[Civil engineering]]. In this work, he showed how an information processing approach can be applied by carrying a detailed analysis of the background of the study - goals and resources, inputs and outputs, representations and processes, and transformational activity, "how information was transformed from the design drawings and site onto tables of measurements (different representations)" and then onto "a graphical representation" which provided a clearer demonstration of the relationship between the two data sets.<ref name = "Perry_1998" />

==Quotes==