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Socio-cognitive or sociocognitive has been used in academic literature with three different meanings: 1) it can indicate a branch of science, engineering or technology, such as socio-cognitive research, or socio-cognitive interactions, 2) it can refer to the integration of the cognitive and social properties of systems, processes, functions, as well as models, or 3) it can describe how processes of group formation effect cognition, studied in cognitive sociology. [1] This term is especially used when complex cognitive and social properties are reciprocally connected and essential for a given problem.

Socio-cognitive engineering

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.

Both above approaches are applicable for the identification and design of a computer-based semi-/proto-Intelligent Decision Support Systems (IDSS),[3] 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 errors and socio-cognitive organization vulnerability can be the cause of serious losses.[4]

Integration of cognitive social properties of systems

Group formation effect cognition

See also


  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 Archived 2006-09-23 at the Wayback Machine, European Journal of Operational Research
  3. ^ A. M. Gadomski, et al.(2001)., Towards intelligent decision support systems for emergency managers: the IDA approach. International Journal of Risk Assessment and Management, Vol. 2, No. 3/4.
  4. ^ A. M. Gadomski (2009), 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.

External links

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