Making sense of group interaction in an ambient intelligent environment for physical play

This paper presents the results of a study on group interaction with a prototype known as socio-ec(h)o. socioec(h)o explores the design of sensing and display, user modeling, and interaction in an embedded interaction system utilizing a game structure. Our study involved the playing of our prototype system by thirty-six (36) participants grouped into teams of four (4). Our aim was to determine heuristics that we could use to further design the interaction and user model approaches for group and embodied interaction systems. We analyzed group interaction and performance based on factors of team cohesion and goal focus. We found that with our system, these factors alone could not explain performance. However, when transitions in the degrees of each factor, i.e. high, medium or low are considered, a clearer picture for performance emerges. The significance of the results is that they describe recognizable factors for positive group interaction.