Towards a Model of Team Roles in Human-Machine Collaboration.
Dominik Siemon, Ruobing Li, Susanne Robra-Bissantz · Journal of the Association for Information Systems · 2020
The increasing importance of artificial intelligence in everyday work means that new insights into team collaboration must be gained. It is important to research how changes in team composition affect joint work, as previous theories and insights on teams are based on the knowledge of pure human teams. Especially, when an AI-based system acts as the coequal partner in a collaboration scenario, its role within the team needs to be defined. We examine existing concepts of team roles and construct possible roles that AI-based teammates should fulfill in teams with the help of a conducted study (n=1.358). The preliminary results of a conducted exploratory factor analysis show four possible new roles, which we will validate in the future and compare with existing team role concepts in order to construct a model for team roles in human-machine collaboration.