Conversation votes: enabling anonymous cues

  • Authors:
  • Tony Bergstrom;Karrie Karahalios

  • Affiliations:
  • University of Illinois at Urbana-Champagin, Urbana, IL;University of Illinois at Urbana-Champagin, Urbana, IL

  • Venue:
  • CHI '07 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2007

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Abstract

In this work we describe Conversation Votes, a visualization to create new backchannels in conversation and augment collocated interaction. We expand the idea of a social mirror, a reflection of interaction, to incorporate direct user feedback in the form of anonymous voting. By capturing user input, the mirror becomes more demonstrative of context as participants add their interpretation into the visualization. The end result produces a visualization to provide a more accurate reflection of interaction and create flags of salient moments in conversation.