Just give me what I want: How people use and evaluate music search

Abstract

Music-streaming platforms offer users a large amount of content for consumption. Finding the right music can be challenging and users often need to search through extensive catalogs provided by these platforms. Prior research has focused on general-domain web search, which is designed to meet a broad range of user goals. Here, we study search in the domain of music, seeking to understand how and why people use search and how they evaluate their search experiences on a music-streaming platform. Over two studies, we conducted semi-structured interviews with 27 participants, asking about their search habits and preferences, and observing their behavior while searching for music. Analysis revealed participants evaluated their search experiences along two dimensions: success and effort. Importantly, how participants perceived success and effort differed by their mindset, or the way they assessed the results of their query. We conclude with recommendations to improve the user experience of music search.

Related

May 2024 | Yijun Tian, Maryam Aziz, Alice Wang, Enrico Palumbo and Hugues Bouchard

Structural Podcast Content Modeling with Generalizability

Yijun Tian, Maryam Aziz, Alice Wang, Enrico Palumbo and Hugues Bouchard

May 2024 | The Web Conference

Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks

Marco De Nadai, Francesco Fabbri, Paul Gigioli, Alice Wang, Ang Li, Fabrizio Silvestri, Laura Kim, Shawn Lin, Vladan Radosavljevic, Sandeep Ghael, David Nyhan, Hugues Bouchard, Mounia Lalmas-Roelleke, Andreas Damianou

May 2024 | The Web Conference (GFM workshop)

Towards Graph Foundation Models for Personalization

Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang, Enrico Palumbo, Mounia Lalmas