A Computational Framework for Exploring the Socio-Cognitive Features of Teams and their Influence on Design Outcomes
Editor: Wartzack, Sandro; Schleich, Benjamin; Gon
Author: Singh, Harshika (1); Cascini, Gaetano (1); Casakin, Hernan (2); Singh, Vishal (3)
Institution: Politecnico di Milano
Section: Collaborative Design
DOI number: https://doi.org/10.1017/dsi.2019.3
The dynamics of design teams play a critical role in product development, mainly in the early phases of the process. This paper presents a conceptual framework of a computational model about how cognitive and social features of a design team affect the quality of the produced design outcomes. The framework is based on various cognitive and social theories grounded in literature. Agent-Based Modelling (ABM) is used as a tool to evaluate the impact of design process organization and team dynamics on the design outcome. The model describes key research parameters, including dependent, independent, and intermediates. The independent parameters include: duration of a session, number of times a session is repeated, design task and team characteristics such as size, structure, old and new members. Intermediates include: features of team members (experience, learning abilities, and importance in the team) and social influence. The dependent parameter is the task outcome, represented by creativity and accuracy. The paper aims at laying the computational foundations for validating the proposed model in the future.