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Information Provision Modules to Support Creation of Slides with Easily Understandable Presentation

Author

Listed:
  • Tessai Hayama

    (Japan Advanced Institute of Science and Technology, Japan)

  • Susumu Kunifuji

    (Japan Advanced Institute of Science and Technology, Japan)

Abstract
Including visual information in slides is one of the important factors for enabling the audience to easily understand the content of a slide presentation. However, it’s difficult for an inexperienced preparer to improve the presentation of slides without adequate experience and awareness of the requirements of a good slide. The authors developed Presentation Gadgets, which consists of modules that can be used to support the creation of slides that represent information in an audience friendly manner. Presentation Gadgets provide information on web-based slides, web pages, web news, and web images, thus supporting replacement of content on slides with visual representations and illustrations of key points, and insertion of common topics and it helps identifying slides that need improvement. To construct the previously mentioned modules, the authors developed a novel slide search method and slide ranking method and to allow easy access to information, Presentation Gadgets has a user interface that automatically creates queries from the selected slide text or speech text that is recognized by a speech recognition engine. By using Presentation Gadgets, an inexperienced slide preparer can effectively create slides that are easily understandable because he/she can interactively refer to various information resources relating to the slide content based on the situation.

Suggested Citation

  • Tessai Hayama & Susumu Kunifuji, 2012. "Information Provision Modules to Support Creation of Slides with Easily Understandable Presentation," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 3(3), pages 26-41, July.
    • Handle: RePEc:igg:jkss00:v:3:y:2012:i:3:p:26-41
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jkss.2012070103
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    Cited by:

    1. Trung-Nghia Phung & Duc-Binh Nguyen & Ngoc-Phuong Pham, 2024. "A Review on Speech Recognition for Under-Resourced Languages: A Case Study of Vietnamese," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 15(1), pages 1-16, January.

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