Title :
Towards a social interaction-based cognition model: An analysis of Spatial Data Infrastructure
Author :
Reynoso, Luis ; Grosclaude, Eduardo ; Sanchez, L. ; Alvarez, M.
Author_Institution :
Fac. de Inf., Univ. del Comahue, Buenos Aires, Argentina
Abstract :
Distributed cognition is a psychological theory which assumes that knowledge lies not only within the individual but also in the individual´s social and physical environment. Today, we tend to achieve cognitive results by means of a sequence of complex and subtly interwoven interactions, using technological devices, and with the help of other, more knowledgeable people. As dwellers of a new century, we are agents of a novel technological assembly where knowledge is socially produced, and nurtured by the various sources of many communities of practice (CoP). In this paper we propose a social interaction-based cognition model which applies distributed cognition and interoperability between different actors of CoP in a web environment. The core components of the model are Authenticity and Coupling, Assemblage and Shared Meanings. We also present the main findings of qualitative research in a case of study to Spatial Data Infraestructure (SDI) and CoP around this technological assemblies.
Keywords :
cognition; data structures; open systems; CoP; SDI; Web environment; communities of practice; core components; distributed cognition; interoperability; interwoven interactions; physical environment; psychological theory; social environment; social interaction based cognition model; spatial data infrastructure; spatial data infrastructure analysis; technological assemblies; technological assembly; technological devices; Cognition; Communities; Context; Interoperability; Organizations; Semantics; Social network services; Social Interaction. Distributed Cognition. Communities of Practice. Interoperability;
Conference_Titel :
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2014 IEEE 13th International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4799-6080-4
DOI :
10.1109/ICCI-CC.2014.6921499