From "tactical discussion" in collaboration game to "behaviors": A classification approach in stages.
De "discusiÃ³n tÃ¡ctica" en juego de colaboraciÃ³n a "conductas": enfoque de clasificaciÃ³n en etapas.
Keywords:automatic classification, group dynamic, gamification, user modeling
The analysis of group dynamics is extremely useful for understanding and predicting the performance of teamworkâ€™s, since in this context, collaboration problems can naturally arise. Artificial intelligence, and specially machine learning techniques, enables automating the observation process and the analysis of groups of users who use an online collaborative platform. Among the online collaborative platforms available, games are an attractive alternative for all audiences that enable capturing the playersâ€™ behavior by observing their social interactions, while engaging them in a pleasant activity. In this paper, we present experimental results of classifying observed conversations in an online game to collaborative behaviors, guided by the Interaction Process Analysis, a theory for categorizing social interactions. The proposed automation of the classification process can be used to assist teachers or team leaders to detect alterations in the balance of group reactions and to improve their performance by indicating actions to improve the balance.
How to Cite
Open Access publishing.
Lic. under Creative Commons CC-BY-NC
Inteligencia Artificial (Ed. IBERAMIA)
ISSN: 1988-3064 (on line).
(C) IBERAMIA & The Authors