2017/03/22 by Jingxian Zhang, Dong Liu, Zhang, Jingxian +1 · 1 voice
Arts and Humanities · Computer Science · #Digital Humanities and Scholarship #FOS: Computer and information sciences #H.5.2 #Human-Computer Interaction (cs.HC) #Music Technology and Sound Studies #Music and Audio Processing #cs.HC
paper · pdf · doi:10.48550/arxiv.1703.07534
arxiv created 2017/03/22 · openalex publication_date 2017/03/22 · arxiv published 2017/03/22 · arxiv updated 2017/03/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.