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Rhythm modeling, visualizations and applications
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Source Symposium on User Interface Software and Technology archive
Proceedings of the 16th annual ACM symposium on User interface software and technology table of contents
Vancouver, Canada
Pages: 11 - 20  
Year of Publication: 2003
ISBN:1-58113-636-6
Authors
James "Bo" Begole  Sun Microsystems Laboratories, 2600 Casey Ave, Mountain View, CA
John C. Tang  Sun Microsystems Laboratories, 2600 Casey Ave, Mountain View, CA
Rosco Hill  University of Waterloo, 200 University Ave. W., Waterloo, Ontario, Canada N2L 3G1
Sponsors
: Pacific Northwest National Laboratory
: New Media Innovation Centre
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
: Nokia
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
: SMART Technologies Inc.
: Intel Research
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 17,   Downloads (12 Months): 78,   Citation Count: 23
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ABSTRACT

People use their awareness of others' temporal patterns to plan work activities and communication. This paper presents algorithms for programatically detecting and modeling temporal patterns from a record of online presence data. We describe analytic and end-user visualizations of rhythmic patterns and the tradeoffs between them. We conducted a design study that explored the accuracy of the derived rhythm models compared to user perceptions, user preference among the visualization alternatives, and users' privacy preferences. We also present a prototype application based on the rhythm model that detects when a person is "away" for an extended period and predicts their return. We discuss the implications of this technology on the design of computer-mediated communication.


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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2. AOL Instant Messenger (AIM), 〈http://www.aim.com/〉
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4. C. Chatfield, The Analysis of Time Series, fifth edition, Chapman & Hall/CRC, Boca Raton, FL, 1996.
 
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15. SunTM ONE Instant Messaging, 〈http://wwws.sun.com/software/products/instant_mes- saging/〉
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19. J. Tyler and J. Tang, "When Can I Expect an Email Response? A Study of Rhythms in Email Usage," Proceedings of ECSCW 2003, in press.
 
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20. E. Zerubavel, Hidden Rhythms: Schedules and Calendars in Social Life, Chicago: The University of Chicago Press, 1981.

CITED BY  23

Collaborative Colleagues:
James "Bo" Begole: colleagues
John C. Tang: colleagues
Rosco Hill: colleagues