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Socio-cognitive or sociocognitive describes integrated cognitive and social properties of systems, processes, functions, models, as well as can indicate the branch of science, engineering or technology, such as socio-cognitive research, socio-cognitive interactions. ^[1] This term is especially used when complex cognitive and social properties are reciprocally connected and essential for a given problem.

Socio-cognitive research is human factor and socio-organizational factor based, and assumes an integrated knowledge engineering, environment and business modeling perspective, therefore it is not social cognition which rather is a branch of psychology focused on how people process social information.

Socio-cognitive engineering (SCE) includes a set of theoretical interdisciplinary frameworks, methodologies, methods and software tools for the design of human centred technologies ^[2], as well as, for the improvement of large complex human-technology systems.

References

^ C. J. Hemingway and T. G. Gough (1998), A Socio-Cognitive Theory of Information Systems, Technical Report 98.25, School of Computer Studies, University of Leeds, December 1998.
^ M. Sharples at al.(2002), Socio-cognitive engineering: a methodology for the design of humancentred technology, European Journal of Operational Research

External links

Towards a cognitive memetics (2001), Cristiano Castelfranchi - Web pages.
The socio-cognitive model of trust (2004-06) - Web pages of the Institute of Cognitive Sciences and Technologies (ISTC).

[1] C. J. Hemingway and T. G. Gough (1998), A Socio-Cognitive Theory of Information Systems, Technical Report 98.25, School of Computer Studies, University of Leeds, December 1998.

[2] M. Sharples at al.(2002), Socio-cognitive engineering: a methodology for the design of humancentred technology, European Journal of Operational Research

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 '''Socio-cognitive engineering''' (SCE) includes a set of theoretical interdisciplinary frameworks, methodologies, methods and software tools for the design of [[Human-centered computing (discipline)|human centred]] technologies  <ref> M. Sharples at al.(2002), [http://www.eee.bham.ac.uk/sharplem/Papers/mediate%20ejor.pdf Socio-cognitive engineering:  a methodology for the design of humancentred technology], European Journal of Operational Research  </ref>, as well as, for the improvement of large complex human-technology systems.
-Both above approaches are applicable for the identification and design of a computer-based semi-/proto-Intelligent [[Decision Support System]]s ([[intelligent support systems|IDSS]]) <ref> A. M. Gadomski, et al.(2001).,
-[http://citeseer.ist.psu.edu/gadomski01towards.html Towards intelligent decision support systems for emergency managers: the IDA approach]. International Journal of Risk Assessment and Management, Vol. 2, No. 3/4. </ref>, for the operators and managers of large socially critical systems, for high-risk tasks, such as different types of [[emergency]] and [[disaster]] management, where [[human error]]s and socio-cognitive organization [[vulnerability]] can be the cause of serious losses <ref> A. M. Gadomski (2009), [http://www.inderscience.com/search/index.php?action=record&rec_id=22853&prevQuery=&ps=10&m=or Human organisation socio-cognitive vulnerability: the TOGA meta-theory approach to the modelling methodology], International Journal of Critical Infrastructures, Vol. 5, No.1/2  pp. 120-155. </ref>.
 ==See also==