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The OWL bodyprops fitting sessions

Published: 29 November 2010 Publication History

Abstract

We propose a bite-sized version of the OWL interview processes for the PDC poster/demo session. The OWL Bodyprop devices were developed and tested in the initial cycle of the ongoing OWL project. Opening up the process for scrutiny to the PDC community will allow us to question and extend our thinking as the project continues to evolve.

References

[1]
Clarke, A., C. Profiles of the Future. Holt, Rinehart & Winston, New York, NY. 1984
[2]
Dunne, A., Raby, F., The Placebo Project. DIS 2002 London, England. pp. 9--12
[3]
Gaver, W., Dunne, A., & Pacenti, E. Cultural Probes. Interactions 6(1), 21--29. 1999
[4]
Reiss, Steven, Who am I: The 16 basic desires that motivate our actions and define our personalities, New York: Tarcher/Putnam, 2000
[5]
Wilde, D., Andersen, K. Doing things backwards: the OWL project, Proceedings of the 21st Annual Conference of the Australian Computer-Human Interaction Special Interest Group 2009

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  1. The OWL bodyprops fitting sessions

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    Published In

    cover image ACM Other conferences
    PDC '10: Proceedings of the 11th Biennial Participatory Design Conference
    November 2010
    314 pages
    ISBN:9781450301312
    DOI:10.1145/1900441

    Sponsors

    • DE: Digital Eskimo
    • UTS-HCTDRS: The UTS Human Centred Technology Design Research Strength
    • University of Technology Sydney
    • Roskilde University
    • SIGCHI-Australia: ACM SIGCHI Australia
    • Zumio: Zumio

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 29 November 2010

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    Author Tags

    1. ambiguity
    2. body objects
    3. magical thinking
    4. motivational desires
    5. participatory design
    6. sculptural process

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    • Poster

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    PDC '10
    Sponsor:
    • DE
    • UTS-HCTDRS
    • SIGCHI-Australia
    • Zumio
    PDC '10: The 11th Biennial Participatory Design Conference
    November 29 - December 3, 2010
    Sydney, Australia

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    Overall Acceptance Rate 49 of 289 submissions, 17%

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