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Presentation Story Estimation from Slides for Detecting Inappropriate Slide Structure

  • Tomoko Kojiri
  • Fumihiro Yamazoe
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 14)

Abstract

In many situations, we present our ideas using presentation tools, such as PowerPoint in Microsoft Office. However, story created by author is sometimes inappropriate and listeners cannot understand topics that the author wants to insist by watching the generated slide. Our research aims at constructing the system which automatically detects differences of author’s intention and slide structure, and points out inappropriateness of generated slides. Author’s intention for each slide is captured by assigning each slide in topic template. On the other hand, topics that listeners may understand from generated slides are estimated based on the lexical information in the slides and are organized astopic tree. Relations between generated slides are detected by the change of their focusing nodes in a topic tree. By comparing relations grasped by the topic template and topic tree, the system is able to point out inappropriate slides automatically.

Keywords

Sequential Relation Topic Tree Inclusive Relation Academic Conference Presentation Tool 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Okamoto, R., Kashihara, A.: Back-Review Support Method for Presentation Rehearsal Support System. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds.) KES 2011, Part II. LNCS (LNAI), vol. 6882, pp. 165–175. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  2. 2.
    Kashihara, A., Saito, K., Hasegawa, S.: A Cognitive Apprenticeship Framework for Developing Presentation Skill. IEICE Technical Report 111(141), 23–28 (2011) (in Japanese)Google Scholar
  3. 3.
    Maeda, K., Hayashi, Y., Kojiri, T., Watanabe, T.: Skill-up Support for Slide Composition through Discussion. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds.) KES 2011, Part III. LNCS (LNAI), vol. 6883, pp. 637–646. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  4. 4.
    Kamewada, K., Nishimoto, K.: Supporting Composition of a Presentation by Showing Transitions of Audiences’ Attentions. Trans. of Information Processing Society of Japan 48(12), 3859–3872 (2007)Google Scholar
  5. 5.
    Hanaue, K., Watanabe, T.: Externalization Support of Key Phrase Channel in Presentation Preparation. International Journal of Intelligent Decision Technologies 3(2), 85–92 (2009)Google Scholar
  6. 6.
    Tufte, E.R.: The Cognitive style of PowerPoint. Graphic Press (2003)Google Scholar
  7. 7.
    Salton, G., Fox, E.A., Wu, H.: Term-weighting Approaches in Automatic Text Retrieval. Journal of Information Processing & Management 24(5), 513–523 (1988)CrossRefGoogle Scholar
  8. 8.
    MeCab: Yet Another Part-of-Speech and Morphological Analyzer (2009), http://mecab.sourceforge.net/

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Faculty of Engineering ScienceKansai UniversitySuitaJapan

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