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Bringing the field into the lab: supporting capture and replay of contextual data for the design of context-aware applications

Published:03 October 2010Publication History

ABSTRACT

When designing context-aware applications, it is difficult to for designers in the studio or lab to envision the contextual conditions that will be encountered at runtime. Designers need a tool that can create/re-create naturalistic contextual states and transitions, so that they can evaluate an application under expected contexts. We have designed and developed RePlay: a system for capturing and playing back sensor traces representing scenarios of use. RePlay contributes to research on ubicomp design tools by embodying a structured approach to the capture and playback of contextual data. In particular, RePlay supports: capturing naturalistic data through Capture Probes, encapsulating scenarios of use through Episodes, and supporting exploratory manipulation of scenarios through Transforms. Our experiences using RePlay in internal design projects illustrate its potential benefits for ubicomp design.

References

  1. }}Ackerman, M. S., et al. Simplifying user-controlled privacy policies (Work in Progress). IEEE Pervasive Computing 8, 4 (2009), 28--32. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. }}Barton, J. J. and Vijayaraghavan, V.: UBIWISE, a simulator for ubiquitous computing systems design. Hewlett-Packard Labs Technical Report HPL-2003-93, 2003.Google ScholarGoogle Scholar
  3. }}Carroll, J. M. Scenario-Based Design. John Wiley & Sons, 1995.Google ScholarGoogle Scholar
  4. }}Dey, A. K., et al. a CAPpella: programming by demonstration of context-aware applications. CHI 2004, 33--40. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. }}Hartmann, B., et al. Reflective physical prototyping through integrated design, test, and analysis. UIST 2006, 299--308. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. }}Li, Y., Hong, J. I. and Landay, J. A. Topiary: a tool for prototyping location-enhanced applications. UIST 2004, 217--226. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. }}MacIntyre, B., et al. DART: a toolkit for rapid design exploration of augmented reality experiences. UIST 2004, 197--206. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. }}Morrison, A., Tennent, P. and Chalmers, M. Coordinated Visualisation of Video and System Log Data. IEEE CVE 2006, 91--102. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. }}Welbourne, E., et al. Specification and Verification of Complex Location Events with Panoramic. Pervasive 2010, 57--75. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Bringing the field into the lab: supporting capture and replay of contextual data for the design of context-aware applications

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    • Published in

      cover image ACM Conferences
      UIST '10: Proceedings of the 23nd annual ACM symposium on User interface software and technology
      October 2010
      476 pages
      ISBN:9781450302715
      DOI:10.1145/1866029

      Copyright © 2010 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 3 October 2010

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