2. Socio-Cognitive Engineering

Paper: Socio-Cognitive Engineering of a Robotic Partner for Child's Diabetes Self-Management

The main takeaways:

- SCE enables the integration of theories and technologies from different fields of knowledge. It is a method that can design solutions for diverse individuals and context-dependent needs for either patients and caregivers. 

-SCE evolved from two previously used methods namely joint cognitive systems and situated cognitive engineering. However, SCE focuses more on human-agent and robot teamwork and patterns. It is a way of modelling social intelligence that evolves over time.

-It is of great importance to apply  "... a comprehensive socio-cognitive methodology that systematically
addresses the social context, the building of a shared human-robot knowledge base and the opportunities to improve and learn continuously."

- For the inclusion of human factors, three factors are of great importance as stated by the Self-determination theory (STD). These basic needs have a great effect on the development of human behaviour and are given by autonomy, competence and relatedness. 

- The PAL is the first big addition to social robotics and is a great example for future research and the importance of the integration of human factor knowledge into social robotics through design, modelling and evaluation.

Paper: Socio-cognitive engineering: A methodology for the design of human-centred technology

https://www-sciencedirect-com.tudelft.idm.oclc.org/science/article/pii/S0377221701001187

The main takeaways: