Using Social Annotations for Trend Discovery in Scientific Publications
Music information retrieval (MIR) is a highly interactive process and MIR systems should support users’ interactions during the process. However, there are very few user-centered experiments in evaluating interactive MIR systems. In this paper, we present a user experiment with 32 participants evaluating two result presentation modes of a music mood recommendation system for two music seeking tasks, using user-centered measures. Preliminary results disclosed that the presentation modes made significant difference on some of the user-centered measures and users may enjoy the less effective but more appealing mode.
Databases and Information Systems | Numerical Analysis and Scientific Computing
Data Management and Analytics
Fifth Workshop on Human-Computer Interaction and Information Retrieval
City or Country
Mountain View, USA
HU, Meiqun; LIM, Ee Peng; and JIANG, Jing.
Using Social Annotations for Trend Discovery in Scientific Publications. (2011). Fifth Workshop on Human-Computer Interaction and Information Retrieval. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/1461
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