Modeling Users Collaborative Behavior with a Serious Game

BERDUN, FRANCO D.; ARMENTANO, MARCELO G.; BERDUN, FRANCO D.; ARMENTANO, MARCELO G.

Transactions on Computational Intelligence and AI in Games

IEEE

Año: 2019 vol. 11 p. 121 - 128

1943-068X

User modeling is an important area in the field of Artificial Intelligence. Traditionally, user modeling approaches focus on individual features of users, leaving aside aspects of users as part of a group. However, in enterprise, academic or political contexts, it is usual to find groups of people working together to solve a collaborative task using online collaborative platforms. In this context, counting with a knowledge based describing the users behavior when working in a group (i.e. the collaborative profile) is vital for a system aiming at assisting them to enhance their collaborative abilities that might impact in the group dynamics. Traditionally, collaborative abilities are measured by means of questionnaires or by an external human observer. In this work, we propose an approach to build collaborative profiles by means of the observation of users behavior in a collaborative serious game. The main advantage of our approach is that it avoids external human observers of the group dynamics and the use of self-perception questionnaires. We obtained promising results when comparing the user profiles obtained with our approach with respect to the classical measurement instruments.