Experience sharing by retrieving captured conversations using non-verbal features

  • Authors:
  • Christof E. Müller;Yasuyuki Sumi;Kenji Mase;Megumu Tsuchikawa

  • Affiliations:
  • ATR Media Information Science Laboratories, Kyoto, Japan;Kyoto University, Kyoto, Japan;Nagoya University, Nagoya City, Japan;ATR Media Information Science Laboratories, Kyoto, Japan

  • Venue:
  • Proceedings of the the 1st ACM workshop on Continuous archival and retrieval of personal experiences
  • Year:
  • 2004

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Abstract

We present a system that retrieves the voice part of human communications captured by our collaborative experience capturing system. For segmenting, interpreting, and retrieving past conversation scenes from a huge amount of captured data the system focusses on the non-verbal aspects, i.e. the contextual information captured by ubiquitous sensors, rather than the verbal (semantic) aspects of the data. The retrieved communications are presented to other persons being in similar situations as the communicators. This experience sharing enables people to gain more information about their situation or surroundings. The system's current domain is a poster exhibition at an academic conference where the system provides a visitor with additional information about the exhibited posters or can be used to re-experience the event after the exhibition is finished.