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Diversity in the music listening experience: insights from focus group interviews

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dc.contributor.author Porcaro, Lorenzo
dc.contributor.author Gómez Gutiérrez, Emilia, 1975-
dc.contributor.author Castillo, Carlos
dc.date.accessioned 2022-03-24T06:56:42Z
dc.date.available 2022-03-24T06:56:42Z
dc.date.issued 2022
dc.identifier.citation Porcaro L, Gómez E, Castillo C. Diversity in the music listening experience: insights from focus group interviews. In: CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval; 2022 Mar 14-18; Regensburg, Germany. New York: ACM; 2022. p. 272-6. DOI: 10.1145/3498366.3505778
dc.identifier.isbn 9781450391863
dc.identifier.uri http://hdl.handle.net/10230/52763
dc.description Comunicació presentada a: CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, celebrat del 14 al 18 de març de 2022 a Regensburg, Alemanya.
dc.description.abstract Music listening in today’s digital spaces is highly characterized by the availability of huge music catalogues, accessible by people all over the world. In this scenario, recommender systems are designed to guide listeners in finding tracks and artists that best fit their requests, having therefore the power to influence the diversity of the music they listen to. Albeit several works have proposed new techniques for developing diversity-aware recommendations, little is known about how people perceive diversity while interacting with music recommendations. In this study, we interview several listeners about the role that diversity plays in their listening experience, trying to get a better understanding of how they interact with music recommendations. We recruit the listeners among the participants of a previous quantitative study, where they were confronted with the notion of diversity when asked to identify, from a series of electronic music lists, the most diverse ones according to their beliefs. As a follow-up, in this qualitative study we carry out semi-structured interviews to understand how listeners may assess the diversity of a music list and to investigate their experiences with music recommendation diversity. We report here our main findings on 1) what can influence the diversity assessment of tracks and artists’ music lists, and 2) which factors can characterize listeners’ interaction with music recommendation diversity.
dc.description.sponsorship This work is partially supported by the European Commission under the TROMPA project (H2020 - grant agreement No. 770376). It is also part of the project Musical AI - PID2019-111403GB-I00/AEI/10.13039/501100011033 funded by the Spanish Ministerio de Ciencia, Innovación y Universidades (MCIU) and the Agencia Estatal de Investigación (AEI). This work is also partially supported by the HUMAINT programme (Human Behaviour and Machine Intelligence), Joint Research Centre, European Commission. The project leading to these results received funding from "la Caixa" Foundation (ID 100010434), under the agreement LCF/PR/PR16/51110009.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher ACM Association for Computer Machinery
dc.rights © 2022 Association for Computing Machinery
dc.title Diversity in the music listening experience: insights from focus group interviews
dc.type info:eu-repo/semantics/conferenceObject
dc.subject.keyword music information retrieval
dc.subject.keyword recommender systems
dc.subject.keyword diversity
dc.subject.keyword focus group interviews
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/770376
dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2019-111403GB-I00/AEI/10.13039/501100011033
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion

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