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2022-09Konferenzveröffentlichung DOI: 10.18452/25246
The sound of music: from increased personalization to therapeutic values
dc.contributor.authorCáceres, Ileana Sofía Inés
dc.contributor.authorGhosh, Souvick
dc.date.accessioned2022-09-07T13:05:07Z
dc.date.available2022-09-07T13:05:07Z
dc.date.issued2022-09none
dc.identifier.urihttp://edoc.hu-berlin.de/18452/25974
dc.description.abstractMusic providers like Spotify leverage music recommendation systems to connect users with relevant music. Based on content-based and collaborative-filtering statistical methods, these machine learning algorithms quantify user-song probabilities and present the highest-ranked songs. However, most music providers do not fully address their users’ music seeking and retrieval needs. Likewise, the fields of Recommender Systems (RecSys), Music Recommendation Systems (MRS) and Music Information Retrieval (MIR) remain disconnected from real-world use cases of music seeking. In this conceptual paper, we review the literature of the RecSys, MRS, MIR and Music Therapy (MT) academic fields. We discuss trends towards greater user control and personalization in the MRS and MIR fields and the connections between MT and positive health outcomes such as reductions in stress, anxiety and heart rate.Analysis. We argue that greater control and visibility into the characteristics of songs and recommended items can generate positive downstream benefits. We recommend features that empower users to better seek, find, store, retrieve and learn from their musical catalogs. We suggest design enhancements that recognize music’s wider psychological and physiological benefits and create opportunities to build domain knowledge. Unlocking music’s myriad benefits through the enhancements proposed would catalyze positive outcomes for business stakeholders, users and society.eng
dc.language.isoengnone
dc.publisherHumboldt-Universität zu Berlin
dc.rights(CC BY 4.0) Attribution 4.0 Internationalger
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectMusic Information Retrievaleng
dc.subjectMusic Recommender Systemseng
dc.subjectUser Interface Designeng
dc.subjectMusic Therapyeng
dc.subject.ddc020 Bibliotheks- und Informationswissenschaftennone
dc.titleThe sound of music: from increased personalization to therapeutic valuesnone
dc.typeconferenceObject
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/25974-7
dc.identifier.doihttp://dx.doi.org/10.18452/25246
dc.type.versionacceptedVersionnone
local.edoc.pages14none
local.edoc.type-nameKonferenzveröffentlichung
dc.description.versionPeer Reviewednone
dc.description.eventInformation Seeking in Context (ISIC), Berlin, September 26 - 29, 2022none
bua.departmentPhilosophische Fakultätnone

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