Conversation clusters: Grouping conversation topics through human-computer dialog

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

Abstract

Conversation Clusters explores the use of visualization to highlight salient moments of live conversation while archiving a meeting. Cheaper storage and easy access to recording devices allows extensive archival. However, as the size of the archive grows, retrieving the desired moments becomes increasingly difficult. We approach this problem from a socio-technical perspective and utilize human intuition aided by computer memory. We present computationally detected topics of conversation as visual summaries of discussion and as reference points into the archive. To further bootstrap the system, humans can participate in a dialog with the visualization of the clustering process and shape the development of clustering models.

Original languageEnglish (US)
Title of host publicationCHI 2009
Subtitle of host publicationDigital Life New World - Proceedings of the 27th International Conference on Human Factors in Computing Systems
Pages2349-2352
Number of pages4
DOIs
StatePublished - Dec 1 2009
Event27th International Conference Extended Abstracts on Human Factors in Computing Systems, CHI 2009 - Boston, MA, United States
Duration: Apr 4 2009Apr 9 2009

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Other

Other27th International Conference Extended Abstracts on Human Factors in Computing Systems, CHI 2009
CountryUnited States
CityBoston, MA
Period4/4/094/9/09

Keywords

  • Clustering
  • Meeting archival
  • Visualization

ASJC Scopus subject areas

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

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