Title

Using Social Annotations for Trend Discovery in Scientific Publications

Publication Type

Conference Paper

Publication Date

10-2011

Abstract

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.

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Research Areas

Data Management and Analytics

Publication

Fifth Workshop on Human-Computer Interaction and Information Retrieval

City or Country

Mountain View, USA

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