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SidePoint: a peripheral knowledge panel for presentation slide authoring

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Published:27 April 2013Publication History

ABSTRACT

Presentation authoring is an important activity, but often requires the secondary task of collecting the information and media necessary for both slides and speech. Integration of implicit search and peripheral displays into presentation authoring tools may reduce the effort to satisfy not just active needs the author is aware of, but also latent needs that she is not aware of until she encounters content of perceived value. We develop SidePoint, a peripheral panel that supports presentation authoring by showing concise knowledge items relevant to the slide content. We study SidePoint as a technology probe to examine the benefits and issues associated with peripheral knowledge panels for presentation authoring. Our results show that peripheral knowledge panels have the potential to satisfy both types of needs in ways that transform presentation authoring for the better.

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References

  1. Brandt, J., Dontcheva, M., Weskamp, M. & Klemmer, S. R. (2010). Example-centric programming: integrating web search into the development environment. CHI'10, 513--522. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Broder, A., Fontoura, M., Josifovski, V. & Riedl, L. (2007). A semantic approach to contextual advertising. SIGIR'07, 559--566. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Cadiz, J. J., Venolia, G. D., Jancke, G. & Gupta, A. (2002). Designing and deploying an information awareness interface. CSCW'02, 314--323. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Czerwinski, M., Dumais, S., Robertson, G., Dziadosz, S., Tieman, S. L. & van Dantzich, M. (1999). Visualizing implicit queries for information management and retrieval. CHI'99, 560--567. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Dumais, S., Cutrell, E., Sarin, R. & Horvitz., E. (2004). Implicit queries (IQ) for contextualized search. SIGIR'04, 594. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Henzinger, M., Chang, B., Milch, B. & Brin, S. (2005). QueryFree News Search. WWW'05, 1--10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Hecht, B., Teevan, J., Morris, M. R. & Liebling, D. (2012). SearchBuddies: bringing search engines into the conversation. ICWSM'12, 138--145.Google ScholarGoogle Scholar
  8. Hutchinson, H., Mackay, W., Westerlund, B., Bederson, B. B., Druin, A., Plaisant, C., Beaudouin-Lafon, M., Conversy, S., Evans, H., Hansen, H., Roussel, N. & Eiderbäck, B. (2003). Technology probes: inspiring design for and with families. CHI'03, 17--24. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Kraft, R., Mahoul, F., and Chang, C. C. (2005). Y!Q: contextual search at the point of inspiration. CIKM'05, 816--823. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Maekawa, T., Yanagisawa, Y., Sakurai, Y., Kishino, Y., Kamei, K. & Okadome, T. (2009). Web searching for daily living. SIGIR'09, 27--34. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Matejka, J., Grossman, T. & Fitzmaurice, G.W. (2011). Ambient help. CHI'11, 2751--2760. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Matthews, T., Rattenbury, T. & Carter, S. (2007). Defining, designing, and evaluating peripheral displays: an analysis using activity theory. Human-Computer Interaction, 22 (1). Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Pirolli, P. (2003). Exploring and Finding Information. In HCI Models, Theories, and Frameworks, M. Kaufmann, 157--191.Google ScholarGoogle Scholar
  14. Rhodes, B. & Maes, P. (2000). Just-in-time information retrieval agents. IBM Systems Journal, 39(3-4), 685--704. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Shi, S., Zhang, H., Yuan, X. & Wen, J.-R. (2010). Corpus-based semantic class mining: distributional vs. pattern-based approaches. COLING'10, 993--1001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Zhang, F., Shi, S., Liu, J., Sun, S. & Lin, C.-Y. (2011). Nonlinear evidence fusion and propagation for hyponymy relation mining. ACL'11, 1159--1168. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. NeedleSeek http://needleseek.msra.cn/Google ScholarGoogle Scholar
  18. Splat. http://msrsplatdemo.cloudapp.net/Google ScholarGoogle Scholar

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      cover image ACM Conferences
      CHI '13: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2013
      3550 pages
      ISBN:9781450318990
      DOI:10.1145/2470654

      Copyright © 2013 ACM

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      Publication History

      • Published: 27 April 2013

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      Acceptance Rates

      CHI '13 Paper Acceptance Rate392of1,963submissions,20%Overall Acceptance Rate6,199of26,314submissions,24%

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