2. Socio-Cognitive Engineering

The course Socio-Cognitive Engineering tries to combine engineering, cognitive psychology, and social sciences to design and develop technological systems that interact with humans in a socially intelligent way. In this project the methodology proposed by the lectures is used and the structure of the preset chapters of this document follow this methodology. The idea is that "from the foundation, a design specification is derived that defines “what” the system shall do (function) in a set of use cases (“when”) to bring about a desired effect (i.e., the claim, “why”)." (Neerincx et al., 2019). The claims will then be evaluated in an iterative process where design specifications can be validated.

The above figure shows the process of Socio-Cognitive Engineering. This principle was used for designing Dogg0. First the operational demands were considered. These operational demands included the requirements for Dogg0 and the stakeholders at play. Secondly the human factors were considered, and a problem statement and an hypothesis were made. These things combined resulted in a technological solution, that we then had to create and evaluate.

1. Neerincx et al. (2019). Socio-Cognitive Engineering of a Robotic Partner for Child's Diabetes Self-Management. https://www.frontiersin.org/articles/10.3389/frobt.2019.00118/full