CKM: A shared visual analytical tool for large-scale analysis of audio-video interviews

Lu Xiao, Yan Luo, Steven High

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

1 Scopus citations

Abstract

Our access to human rights violation data has increased with the growing number and size of data collections. We have been combining text-mining and visualization techniques to facilitate big data analysis in human rights research. Taking a user-centered approach, we first surveyed the human rights research literature to understand reported data analysis practices in the field, and then taking a participatory design approach working with oral history researchers to develop a visual analytical tool that facilitates the analysis of collections of audio-video interviews oral history research projects. In this paper we present our current prototype - Clock-based Keyphrase Map (CKM). CKM utilizes Keyphrase technique to identify important topics in the collection and a clock-based visualization to present them in a temporal order. CKM also enables the users to further analyze the collections and share their analysis process with other researchers. We discuss the tool in details including its architecture, the computational and visualization techniques, and the interaction features. Our future plan on evaluation and further development are also discussed in the paper.

Original languageEnglish (US)
Title of host publicationProceedings - 2013 IEEE International Conference on Big Data, Big Data 2013
Pages104-112
Number of pages9
DOIs
StatePublished - 2013
Event2013 IEEE International Conference on Big Data, Big Data 2013 - Santa Clara, CA, United States
Duration: Oct 6 2013Oct 9 2013

Publication series

NameProceedings - 2013 IEEE International Conference on Big Data, Big Data 2013

Other

Other2013 IEEE International Conference on Big Data, Big Data 2013
CountryUnited States
CitySanta Clara, CA
Period10/6/1310/9/13

Keywords

  • Keyphrase technique
  • audio-video interviews
  • collaborative analysis
  • human rights data
  • visual analytics

ASJC Scopus subject areas

  • Software

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