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Last modified by Mark Neerincx on 2025/04/17 14:02
From version 24.1
edited by Dongxu Lu
on 2023/03/28 14:33
Change comment: There is no comment for this version
To version 21.1
edited by Dongxu Lu
on 2023/03/28 14:31
Change comment: Rollback to version 18.1

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24 24  
25 25  === **Method** ===
26 26  
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37 37  
38 -**Figure:** Socio-Cognitive Engineering method (SCE) with three main components (Foundation, Specification and Evaluation) and the underlying or abstracted behavioral & declarative design knowledge (resp. design patterns and ontology).
39 -
40 40  * The **Foundation **describes the
41 -** //Operational Demands// (e.g., stakeholders values and needs, problem scenarios, work context),
30 +** //Operational Demands// (e.g., stakeholders' values and needs, problem scenarios, work context),
42 42  ** //Technology //that will be used and/or (further) developed (e.g., cloud computing, AI frameworks) and
43 43  ** //Human Factors// knowledge that should be addressed in the design and evaluation of the technology to meet the operational demands.
44 44  * The **Specification **defines the
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45 45  ** //Objectives//: the target outcomes
46 46  ** //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),
47 47  ** //Function //(requirement), i.e., what the machine shall do to serve the objectives in the corresponding use cases,
48 -** //Claim//, specifiying the expected //Effect //of the situated Function (i.e., situated in the use case) to provide the justification (why).
37 +** //Claim//, specifying the expected //Effect //of the situated Function (i.e., situated in the use case) to provide the justification (why).
49 49  * The **Evaluation **provides the outcomes of the tests with the Prototype and/or Simulation.
50 50  
51 51  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**.