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Using visualizations to increase compliance in experience sampling
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Source
UbiComp; Vol. 344 archive
Proceedings of the 10th international conference on Ubiquitous computing table of contents
Seoul, Korea
SESSION: Ubicomp methods and tools table of contents
Pages 164-167  
Year of Publication: 2008
ISBN:978-1-60558-136-1
Authors
Gary Hsieh  Carnegie Mellon University, Pittsburgh, PA
Ian Li  Carnegie Mellon University, Pittsburgh, PA
Anind Dey  Carnegie Mellon University, Pittsburgh, PA
Jodi Forlizzi  Carnegie Mellon University, Pittsburgh, PA
Scott E. Hudson  Carnegie Mellon University, Pittsburgh, PA
Publisher
ACM  New York, NY, USA
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ABSTRACT

Experience sampling method (or ESM) is a common data collection method to understand user behavior and to evaluate ubiquitous computing technologies. However, ESM studies often demand too much time and commitment from participants, which leads to attrition and low compliance among participants. We introduce a new approach called experience sampling with feedback or ES+feedback that improves compliance by giving feedback to participants through various visualizations. Providing feedback to users makes the information personally relevant and increases the value of the study to participants, which increases their compliance. Our exploratory study shows that ES+feedback increases the compliance rate by 23%.


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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Intille, S. S., Tapia, E. M., Rondoni, J., Beaudin, J. Kukla, C., Agarwal, S., Bao, L., and Larson, K. Tools for Studying Behavior and Technology in Natural Settings. Ubicomp 2003, pp. 157--174.
 
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Scollon, C., Kim-Prieto, C., and Diener, E. Experience Sampling: Promises and Pitfalls, Strengths and Weaknesses. Journal of Happiness Studies 4, 2003, pp. 5--34.
 
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Seligman, C. and Darley, J. M. Feedback as a Means of Decreasing Residential Energy Consumption. Applied Psychology, vol. 62(4), 1977, pp. 363--368.
 
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Collaborative Colleagues:
Gary Hsieh: colleagues
Ian Li: colleagues
Anind Dey: colleagues
Jodi Forlizzi: colleagues
Scott E. Hudson: colleagues