Minimal-impact audio-based personal archives

  • Authors:
  • Daniel P.W. Ellis;Keansub Lee

  • Affiliations:
  • Columbia University, New York, NY;Columbia University, New York, NY

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

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Abstract

Collecting and storing continuous personal archives has become cheap and easy, but we are still farfromcreating a useful, ubiquitous memory aid. We view the inconvenience to the user of being 'instrumented'as one of the key barriers to the broader development and adoption of these technologies. Audio-only recordings,however, can have minimal impact, requiring only that a device the size and weight of a cellphone be carried somewhere on the person. We have conducted some small-scale experiments on collecting continuous personal recordings of this kind, and investigating how they can be automatically analyzed and indexed, visualized, and correlated with other minimal-impact, opportunistic data feeds (such as online calendars and digital photo collections). We describe our unsupervised segmentation and clustering experiments in which we can achieve good agreement with hand-marked environment/situation labels. We al so di scuss some of the broader issues raised by this kind of work including privacy concerns,and describe our future plans to address these and other questions.