Abstract

In this paper, we look at projects leveraging human knowledge and understanding in computer systems for extracting conversational topics. Tasks like speech recognition are difficult for computers, but simple for people engaged in conversation. This task is a cornerstone of transcription, speech summarization, and topic recognition. We propose using tabletop interaction to enhance the computer's basic categorization. We then describe how the results of tabletop interaction help to create meaningful archival visualizations and personal reflecting tools.

Original languageEnglish (US)
Pages2829-2834
Number of pages6
DOIs
StatePublished - Dec 8 2008
Event28th Annual CHI Conference on Human Factors in Computing Systems - Florence, Italy
Duration: Apr 5 2008Apr 10 2008

Other

Other28th Annual CHI Conference on Human Factors in Computing Systems
CountryItaly
CityFlorence
Period4/5/084/10/08

Keywords

  • Clustering
  • Human understanding
  • Topic extraction

ASJC Scopus subject areas

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

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  • Cite this

    Bergstrom, T., & Karahalios, K. G. (2008). Conversation clusters: Human-computer dialog for topic extraction. 2829-2834. Paper presented at 28th Annual CHI Conference on Human Factors in Computing Systems, Florence, Italy. https://doi.org/10.1145/1358628.1358769