Leveraging gesture and voice data to improve group brainstorming

  • Authors:
  • Deirdre Garrahan;Orit Shaer;Andreya Piplica;Kevin Gold

  • Affiliations:
  • Wellesley College, Wellesley, MA, USA;Wellesley College, Wellesley, MA, USA;Wellesley College, Wellesley, MA, USA;Wellesley College, Wellesley, MA, USA

  • Venue:
  • CHI '10 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

We seek to investigate how co-located group brainstorming could be enhanced through computational tools that leverage gestures and voice cues. To pursue this goal we are developing 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. In this paper, we report the results of a preliminary user study of brainstorming practices that indicate that gesture and voice data can serve as signals for group brainstorming success.