Seeing more: visualizing audio cues

  • Authors:
  • Tony Bergstrom;Karrie Karahalios

  • Affiliations:
  • Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, IL;Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, IL

  • Venue:
  • INTERACT'07 Proceedings of the 11th IFIP TC 13 international conference on Human-computer interaction - Volume Part II
  • Year:
  • 2007

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Abstract

Using audio visualization, we seek to demonstrate how natural interaction is augmented with the addition of interaction history. Our Conversation Clock visualization captures and represents audio in a persistent and meaningful representation to provide social cues not available in an otherwise ephemeral conversation. In this paper we present user study evaluation of the Conversation Clock as utilized by familiar groups and demonstrate how individuals use the salient cues to evaluate their own interaction.