HCMar 22, 2017

Visual Analyses of Music History: A User-Centric Approach

arXiv:1703.07534v13 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the need for personalized and engaging user interfaces in online music services, but it is incremental as it builds on existing visualization techniques.

The paper tackled the problem of engaging users and improving their experience in online music services by designing user-centric visual analyses of music history and recommendations, resulting in effective visualization schemes validated through user studies.

Music history, referring to the records of users' listening or downloading history in online music services, is the primary source for music service providers to analyze users' preferences on music and thus to provide personalized recommendations to users. In order to engage users into the service and to improve user experience, it would be beneficial to provide visual analyses of one user's music history as well as visualized recommendations to that user. In this paper, we take a user-centric approach to the design of such visual analyses. We start by investigating user needs on such visual analyses and recommendations, then propose several different visualization schemes, and perform a pilot study to collect user feedback on the designed schemes. We further conduct user studies to verify the utility of the proposed schemes, and the results not only demonstrate the effectiveness of our proposed visualization, but also provide important insights to guide the visualization design in the future.

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