Predicting user satisfaction from subject satisfaction

Authors:
Margaret B. Swan;Mark Notess
Affiliations:
Indiana University, Bloomington, IN;Indiana University, Bloomington, IN
Venue:
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Year:
2003

Citing 2
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Development of an instrument measuring user satisfaction of the human-computer interface

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VARIATIONS: a digital music library system at Indiana University

Proceedings of the fourth ACM conference on Digital libraries

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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.