SenseWeb: collaborative image classification in a multi-user interaction environment

  • Authors:
  • Roberto Lopez-Gulliver;Hiroko Tochigi;Tomohiro Sato;Masami Suzuki;Norihiro Hagita

  • Affiliations:
  • ATR Media Information Science Research Labs, Soraku-gun Kyoto, JAPAN;ATR Media Information Science Research Labs, Soraku-gun Kyoto, JAPAN;ATR Media Information Science Research Labs, Soraku-gun Kyoto, JAPAN;ATR Media Information Science Research Labs, Soraku-gun Kyoto, JAPAN;ATR Media Information Science Research Labs, Soraku-gun Kyoto, JAPAN

  • Venue:
  • Proceedings of the 12th annual ACM international conference on Multimedia
  • Year:
  • 2004

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Abstract

The SenseWeb system is a multi-user interactive information environment. Aimed at supporting the sharing of experiences and collaboration among multiple users allowing them to simultaneously interact with digital multimedia elements by using their bare hands. By sharing a common information space on a large screen, users can cooperatively search, filter, classify and interact with multimedia data in a natural and intuitive way. This paper introduces the system as well as preliminary experiment results to assess its effectiveness as a simultaneous multi-user interaction environment in collaborative image classification tasks. Results confirm our expectations of improvements in task completion time, ease of use and user satisfaction over multi-user but one-at-the-time interaction scenarios.