Optimising Congenial Teams

Effective teams are crucial for organisations, especially in environments that require teams to be constantly created and dismantled, such as software development, scientific experiments, crowd-sourcing, or the classroom. One of the key factors influencing team performance is the personality of team members. In this paper, we introduce a new algorithm to partition a group of individuals into gender and psychologicallybalanced problem-solving teams. With this purpose, we got inspiration from Wildes post-Jungian theory for team formation. Personality traits of people are obtained through a quantitative transformation of the MyersBriggs Type Indicator (MBTI). The algorithm uses a greedy technique to balance the psychological traits of the members of teams so that each team gets the full range of problem-solving capabilities. Finally, we present some preliminary empirical results comparing the quality of the teams obtained by our algorithm and those proposed by a teacher. Source URL: https://www.iiia.csic.es/en/publications/optimising-congenial-teams Links [1] https://www.iiia.csic.es/en/staff/ewa-andrejczuk [2] https://www.iiia.csic.es/en/staff/juan-rodr%C3%ADguez-aguilar [3] https://www.iiia.csic.es/en/staff/carles-sierra [4] https://www.iiia.csic.es/en/bibliography?f[keyword]=1003 [5] https://www.iiia.csic.es/en/bibliography?f[keyword]=1004 [6] https://www.iiia.csic.es/en/bibliography?f[keyword]=1006 [7] https://www.iiia.csic.es/en/bibliography?f[keyword]=1005