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Collaborative capturing, interpreting, and sharing of experiences

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Abstract

This paper proposes a notion of interaction corpus, a captured collection of human behaviors and interactions among humans and artifacts. Digital multimedia and ubiquitous sensor technologies create a venue to capture and store interactions that are automatically annotated. A very large-scale accumulated corpus provides an important infrastructure for a future digital society for both humans and computers to understand verbal/non-verbal mechanisms of human interactions. The interaction corpus can also be used as a well-structured stored experience, which is shared with other people for communication and creation of further experiences. Our approach employs wearable and ubiquitous sensors, such as video cameras, microphones, and tracking tags, to capture all of the events from multiple viewpoints simultaneously. We demonstrate an application of generating a video-based experience summary that is reconfigured automatically from the interaction corpus.

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Notes

  1. Throughout this paper, we use the term “ubiquitous” to describe sensors set up around the room and “wearable” to specify sensors carried by the users.

  2. A set of tools that can do cut-and-paste editing and MPEG compression of audio and video under Linux. http://www.mjpeg.sourceforge.net

  3. We used Procomp+ as an AD converter for transmitting sensed signals to the carried PC.

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Acknowledgments

We thank our colleagues at ATR for their valuable discussion and help on the experiments described in this paper. Valuable contributions to the systems described in this paper were made by Tetsushi Yamamoto and Atsushi Nakahara. We also would like to thank Yasuyhiro Katagiri for his continuing support of our research. This research was supported in part by National Institute of Information and Communications Technology.

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Authors and Affiliations

  1. Graduate School of Infomatics, Kyoto University, Kyoto, Japan

    Yasuyuki Sumi

  2. ATR Media Information Science Laboratories, Kyoto, Japan

    Yasuyuki Sumi, Sadanori Ito, Shoichiro Iwasawa, Kenji Mase & Kiyoshi Kogure

  3. Graduate School of Engineering, Tokyo University of Agriculture and Technology, Tokyo, Japan

    Sadanori Ito

  4. ATR Intelligent Robotics and Communication Laboratories, Kyoto, Japan

    Sadanori Ito, Shoichiro Iwasawa, Kenji Mase & Norihiro Hagita

  5. University of California, San Francisco, CA, USA

    Tetsuya Matsuguchi

  6. The University of British Columbia, Vancouver, BC, Canada

    Sidney Fels

  7. Information Technology Center, Nagoya University, Nagoya, Japan

    Kenji Mase

Authors
  1. Yasuyuki Sumi
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  2. Sadanori Ito
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  4. Sidney Fels
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  8. Norihiro Hagita
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Correspondence to Yasuyuki Sumi.

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Sumi, Y., Ito, S., Matsuguchi, T. et al. Collaborative capturing, interpreting, and sharing of experiences. Pers Ubiquit Comput 11, 265–271 (2007). https://doi.org/10.1007/s00779-006-0088-1

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  • DOI: https://doi.org/10.1007/s00779-006-0088-1

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