SpotifyExplained: User-centric Mobile Application for Music Exploration

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10468870" target="_blank" >RIV/00216208:11320/23:10468870 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1145/3563359.3597392" target="_blank" >https://doi.org/10.1145/3563359.3597392</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3563359.3597392" target="_blank" >10.1145/3563359.3597392</a>

Jazyk výsledku

angličtina

Název v původním jazyce

SpotifyExplained: User-centric Mobile Application for Music Exploration

Popis výsledku v původním jazyce

Many music streaming services, such as Spotify, contain a large volume of heavy users, whose user profiles may contain tens to hundreds artists or hundreds to thousands favorite tracks. For those users, it may be difficult to understand, what data the service collected about them, what is the base for its automated decisions (e.g., recommendations) and why are particular items suggested to them. This may decrease user&apos;s willingness to explore the suggested content and may eventually lead to the decrease of user satisfaction and trust. In this demo, we present SpotifyExplained Android application, which is built on top of Spotify API and aims to bridge the aforementioned understandability gap. Specifically, the application contains several tunable views on users&apos; music profiles and visually explain the connections between both the already known content as well as newly suggested items.

Název v anglickém jazyce

SpotifyExplained: User-centric Mobile Application for Music Exploration

Popis výsledku anglicky

Many music streaming services, such as Spotify, contain a large volume of heavy users, whose user profiles may contain tens to hundreds artists or hundreds to thousands favorite tracks. For those users, it may be difficult to understand, what data the service collected about them, what is the base for its automated decisions (e.g., recommendations) and why are particular items suggested to them. This may decrease user&apos;s willingness to explore the suggested content and may eventually lead to the decrease of user satisfaction and trust. In this demo, we present SpotifyExplained Android application, which is built on top of Spotify API and aims to bridge the aforementioned understandability gap. Specifically, the application contains several tunable views on users&apos; music profiles and visually explain the connections between both the already known content as well as newly suggested items.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA22-21696S" target="_blank" >GA22-21696S: Hluboké vizuální reprezentace nestrukturovaných dat</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization

ISBN

978-1-4503-9891-6

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

92-95

Název nakladatele

ACM

Místo vydání

New York, NY, USA

Místo konání akce

Limassol, Cyprus

Datum konání akce

26. 6. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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