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Connecting the dots with related notes
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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference extended abstracts on Human factors in computing systems table of contents
Boston, MA, USA
SESSION: Spotlight on work in progress session 1 table of contents
Pages 3649-3654  
Year of Publication: 2009
ISBN:978-1-60558-247-4
Authors
Yedendra Babu Shrinivasan  Eindhoven University of Technology, Eindhoven, Netherlands
David Gotz  IBM, Hawthorne, NY, USA
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 11,   Downloads (12 Months): 47,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

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ABSTRACT

During visual analysis, users must often connect insights discovered at various points of time to understand implicit relations within their analysis. This process is often called "connecting the dots." In this paper, we describe an algorithm to recommend related notes from a user's past analysis based on his/her current line of inquiry during an interactive visual exploration process. We have implemented the related notes algorithm in HARVEST, a web based visual analytic system.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Anderson, J. R., Pirolli, P. L., 1984. Spread of activation. Journal of Experimental Psychology: Learning, Memory and Cognition 10, 791--798.
 
2
Collins, A. M., and Loftus, E. F., 1975. A spreading-activation theory of semantic processing. Psychological Review, 82, 407--428.
 
3
Gotz, D. and Zhou, M., 2008. Characterizing Users' Visual Analytic Activity for Insight Provenance. IEEE VAST'08, Columbus, Ohio.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Retrieval models


General Terms:
Algorithms


Keywords:
information visualization, reasoning process, related notes, visual analytics

Collaborative Colleagues:
Yedendra Babu Shrinivasan: colleagues
David Gotz: colleagues

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