Predicting User Satisfaction from Subject Satisfaction

Simple item page
dc.contributor.authorNotess, Mark
dc.contributor.authorSwan, Margaret B.
dc.date.accessioned2024-01-10T19:01:05Z
dc.date.available2024-01-10T19:01:05Z
dc.date.issued2003-04
dc.descriptionPresented at the CHI 2003 Conference on Human Factors in Computing Systems, Ft. Lauderdale, Florida, April 5-10, 2003
dc.description.abstractIn 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.
dc.description.sponsorshipThis material is based upon work supported by the National Science Foundation under Grant No. 9909068. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
dc.identifier.citationMargaret 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
dc.identifier.doihttps://doi.org/10.1145/765891.765960
dc.identifier.urihttps://hdl.handle.net/2022/29576
dc.language.isoen
dc.relation.isversionofhttps://doi.org/10.1145/765891.765960
dc.titlePredicting User Satisfaction from Subject Satisfaction
dc.typePresentation

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Notess_Swan-CHI_03.pdf
Size:
193.02 KB
Format:
Adobe Portable Document Format
Description:
Download

Collections

Variations2
Can’t use the file because of accessibility barriers? Contact us