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VisualizIR: a game for identifying and categorizing relevant text in documents

Published:14 October 2012Publication History

ABSTRACT

In this paper, we introduce VisualizIR, a game where players identify relevant document terms that match predefined categories. VisualizIR evaluates players on accuracy, recall, and precision against an established gold standard, a pooled consensus of judgments made by other players, or a weighted combination of the two. The annotated document can then viewed by any XML-compatible browser, allowing for quick identification of terms in the document related to each category. Here we describe some of the playability design tradeoffs made during the game's development, as well as our findings from two experiments conducted using VisualizIR output.

References

  1. Csikszentmihalyi, M. Flow: The psychology of optimal experience. Harper Perennial, New York, 1991.Google ScholarGoogle Scholar
  2. Eickhoff, C., Harris, C. G., de Vries, A. P., and Srinivasan, P. Quality through flow and immersion: gamifying crowdsourced relevance assessments. In Proc of the 35th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR'12). ACM, New York. 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Medlock, B. Investigating classification for natural language processing tasks. VDM Verlag, 2008.Google ScholarGoogle Scholar
  4. Prabowo, R. and Thelwall, M. Sentiment analysis: A combined approach. Journal of Informetrics, 3:2, 2009. pp 143--157Google ScholarGoogle ScholarCross RefCross Ref
  5. Snow, R., O'Connor, B., Jurafsky, D. and Ng, A. Y. Cheap and fast-but is it good?: evaluating non-expert annotations for natural language tasks. In Proc of the Conference on Empirical Methods in Natural Language Processing. ACL, Stroudsburg, PA, USA, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. von Ahn, L. and Dabbish, L. Designing games with a purpose. Comm of the ACM, 51:8, 2008. pp 58--67. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. VisualizIR: a game for identifying and categorizing relevant text in documents

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            • Published in

              cover image ACM Other conferences
              NordiCHI '12: Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design
              October 2012
              834 pages
              ISBN:9781450314824
              DOI:10.1145/2399016

              Copyright © 2012 ACM

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 14 October 2012

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              Acceptance Rates

              NordiCHI '12 Paper Acceptance Rate84of341submissions,25%Overall Acceptance Rate379of1,572submissions,24%
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