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Prototyping and sampling experience to evaluate ubiquitous computing privacy in the real world
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Source Conference on Human Factors in Computing Systems archive
Proceedings of the SIGCHI conference on Human Factors in computing systems table of contents
Montréal, Québec, Canada
SESSION: Novel methods: emotions, gestures, events table of contents
Pages: 1009 - 1018  
Year of Publication: 2006
ISBN:1-59593-372-7
Authors
Giovanni Iachello  Georgia Institute of Technology, Atlanta, GA
Khai N. Truong  University of Toronto, Toronto, Canada
Gregory D. Abowd  Georgia Institute of Technology, Atlanta, GA
Gillian R. Hayes  Georgia Institute of Technology, Atlanta, GA
Molly Stevens  Logical Design Solutions
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

We developed an inquiry technique, which we called "paratype," based on experience prototyping and event-contingent experience sampling, to survey people in real-life situations about ubiquitous computing (ubicomp) technology. We used this tool to probe the opinions of the conversation partners of users of the Personal Audio Loop, a memory aid that can have a strong impact on their privacy. We present the findings of this study and their implications, specifically the need to broaden public awareness of ubicomp applications and the unfitness of traditional data protection guidelines for tackling the privacy issues of many ubicomp applications. We also point out benefits and methodological issues of paratypes and discuss why they are particularly fit for studying certain classes of mobile and ubicomp applications.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY  10

Collaborative Colleagues:
Giovanni Iachello: colleagues
Khai N. Truong: colleagues
Gregory D. Abowd: colleagues
Gillian R. Hayes: colleagues
Molly Stevens: colleagues