Conversation votes: Enabling anonymous cues

Tony Bergstrom, Karrie Karahalios

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationSIGCHI Conference on Human Factors in Computing Systems 2007, CHI 2007 Extended Abstracts
PublisherAssociation for Computing Machinery
Pages2279-2284
Number of pages6
ISBN (Print)1595936424, 9781595936424
DOIs
StatePublished - Jan 1 2007
Event25th SIGCHI Conference on Human Factors in Computing Systems 2007, CHI 2007 - San Jose, CA, United States
Duration: Apr 28 2007May 3 2007

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Other

Other25th SIGCHI Conference on Human Factors in Computing Systems 2007, CHI 2007
CountryUnited States
CitySan Jose, CA
Period4/28/075/3/07

Keywords

  • Anonymous
  • Conversation
  • Cues
  • Voting

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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