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DJogger: a mobile dynamic music device
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Source Conference on Human Factors in Computing Systems archive
CHI '06 extended abstracts on Human factors in computing systems table of contents
Montréal, Québec, Canada
SESSION: Work-in-progress table of contents
Pages: 556 - 561  
Year of Publication: 2006
ISBN:1-59593-298-4
Authors
Jacob T. Biehl  University of Illinois, Urbana, IL
Piotr D. Adamczyk  University of Illinois, Urbana, IL
Brian P. Bailey  University of Illinois, Urbana, IL
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

Maintaining motivation during exercise can be difficult for people engaged in individual workout routines. A common method for maintaining pace and staying motivated is the introduction of a musical soundtrack. The pace of the music and selection of songs influences the workout by suggesting how one should adjust their effort, or help with the timing of a precise regimen. To explore the impact of music on pace and motivation in exercise, we present our work so far on DJogger. DJogger builds a model of a runner's pace and uses this information along with a workout plan to dynamically adjust the musical soundtrack. DJogger contributes a compelling application of HCI to fitness, and explores methods for real world wearable evaluation.


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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Collaborative Colleagues:
Jacob T. Biehl: colleagues
Piotr D. Adamczyk: colleagues
Brian P. Bailey: colleagues