Search mindsets understanding focused and non-focused information seeking in music search

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Abstract

Music listening is a commonplace activity that has transformed as users engage with online streaming platforms. When presented with anytime, anywhere access to a vast catalog of music, users face challenges in searching for what they want to hear. We propose that users who engage in domain-specific search (e.g., music search) have different information-seeking needs than in general search. Using a mixed-method approach that combines a large-scale user survey with behavior data analyses, we describe the construct of search mindset on a leading online streaming music platform and then investigate two types of search mindsets: focused, where a user is looking for one thing in particular, and non-focused, where a user is open to different results. Our results reveal that searches in the music domain are more likely to be focused than non-focused. In addition, users' behavior (e.g., clicks, streams, querying, etc.) on a music search system is influenced by their search mindset. Finally, we propose design implications for music search systems to best support their users.

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APA

Li, A., Hosey, C., Thom, J., Thomas, B. S., Chandar, P., & Garcia-Gathright, J. (2019). Search mindsets understanding focused and non-focused information seeking in music search. In The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019 (pp. 2971–2977). Association for Computing Machinery, Inc. https://doi.org/10.1145/3308558.3313627

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