Advancing co-located group brainstorming through reality-based interaction

Orit Shaer, Kevin Gold, Deirdre Garrahan, Andreya Piplica

D. Garrahan, O. Shaer, Piplica, K. Gold. Leveraging Gesture and Voice Data to Improve Group Brainstorming. Proceedings of CHI 2010

Project Brief:
While intuition suggests that groups are more productive at brainstorming than individuals, a greater number of ideas and better quality ideas are often found in individual brainstorming. Much research has been dedicated to explaining this phenomenon, yielding explanations that identify factors such as peer judgment, production blocking, and free riding as deterring group brainstorming. Electronic brainstorming tools often attempt to mitigate these factors by allowing anonymous and parallel entry of ideas. However, such tools do not consistently improve group-brainstorming results.

In a study of group brainstorming with over 70 students and faculty participants, we found that gesture and voice data can serve as signals for group brainstorming success. We currently investigate how co-located group brainstorming could be enhanced through computational tools that leverage gestures and voice cues. Specifically, we develop and evaluate a computer mediated brainstorming environment that utilizes reality-based interaction techniques and sensor-driven Hidden Markov Models (HMMs) tracking group engagement to computationally augment existing brainstorming practices.

© 2010 Wellesley College Human-Computer Interaction Laboratory.