Predicting User Satisfaction from Subject Satisfaction
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Date
2003-04
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Abstract
In this paper, we describe work-in-progress in comparing
user satisfaction ratings after user tests with ratings
obtained following actual use of a digital music library
software. We identify some of the variables that hamper
prediction, and we reflect on the utility of surveys for
predicting user/subject gaps in satisfaction.
Description
Presented at the CHI 2003 Conference on Human Factors in Computing Systems, Ft. Lauderdale, Florida, April 5-10, 2003
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Margaret B. Swan and Mark Notess. 2003. Predicting user satisfaction from subject satisfaction. In CHI '03 Extended Abstracts on Human Factors in Computing Systems (CHI EA '03). Association for Computing Machinery, New York, NY, USA, 738–739. https://doi.org/10.1145/765891.765960
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