The Socio-Cognitive Engineering (SCE) method distinguishes three main components, each providing specific Research & Development outcomes (see Figure):
Figure: Socio-Cognitive Engineering method (SCE) with three main components (Foundation, Specification and Evaluation) and the generated behavioral & declarative design knowledge (resp. design patterns and ontology).
- The Foundation describes the
- Operational Demands (e.g., stakeholders values and needs, problem scenarios, work context),
- Technology that will be used and/or (further) developed (e.g., cloud computing, AI frameworks) and
- Human Factors knowledge that should be addressed in the design and evaluation of the technology to meet the operational demands.
- The Specification defines the
- Objectives: the target outcomes
- Use cases: how the human-machine collaboration takes place, i.e., the structure and flow of actors' actions with the task allocations (who, when, where),
- Function (requirement), i.e., what the machine shall do to serve the objectives in the corresponding use cases,
- Claim, specifiying the expected Effect of the situated Function (i.e., situated in the use case) to provide the justification (why).
- The Evaluation provides the outcomes of the tests with the Prototype and/or Simulation.
The SCE method is iterative in nature, which means that usually several cycles of designing and testing are required to eventually arrive at a prototype or simulation. The generated behavioral and declarative design knowledge is formalized and maintained for re-use and sharing via, respectively, Design Patterns and a corresponding Ontology.
Detailed information on the methodology can be found in the publications section of this site.
1Therefore, previous versions of the SCE methodology were called situated cognitive engineering. The current name is Socio-Cognitive Engineering to emphasize the focus on joint human-machine cognitive systems (e.g., incorporating hybrid collective intelligence).