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Interactive textbook and interactive Venn diagram: natural and intuitive interfaces on augmented desk system

Published: 01 April 2000 Publication History

Abstract

This paper describes two interface prototypes which we have developed on our augmented desk interface system, EnhancedDesk. The first application is Interactive Textbook, which is aimed at providing an effective learning environment. When a student opens a page which describes experiments or simulations, Interactive Textbook automatically retrieves digital contents from its database and projects them onto the desk. Interactive Textbook also allows the student hands-on ability to interact with the digital contents. The second application is the Interactive Venn Diagram, which is aimed at supporting effective information retrieval. Instead of keywords, the system uses real objects such as books or CDs as keys for retrieval. The system projects a circle around each book; data corresponding the book are then retrieved and projected inside the circle. By moving two or more circles so that the circles intersect each other, the user can compose a Venn diagram interactively on the desk. We also describe the new technologies introduced in EnhancedDesk which enable us to implement these applications.

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          cover image ACM Conferences
          CHI '00: Proceedings of the SIGCHI conference on Human Factors in Computing Systems
          April 2000
          587 pages
          ISBN:1581132166
          DOI:10.1145/332040
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          Publication History

          Published: 01 April 2000

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          Author Tags

          1. Venn diagram
          2. augmented reality
          3. computer supported learning
          4. computer vision
          5. education
          6. finger/hand recognition
          7. information retrieval

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          CHI00: Human Factors in Computing Systems
          April 1 - 6, 2000
          The Hague, The Netherlands

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          CHI '00 Paper Acceptance Rate 72 of 336 submissions, 21%;
          Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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          Cited By

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          • (2022)Stetho Touch: Touch Action Recognition System by Deep Learning with Stethoscope Acoustic SensingJournal of Information Processing10.2197/ipsjjip.30.71830(718-728)Online publication date: 2022
          • (2022)Conversational Interaction with Historical Figures: What’s It Good For?Information for a Better World: Shaping the Global Future10.1007/978-3-030-96960-8_3(32-49)Online publication date: 23-Feb-2022
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