• Uplifting Interviews in Social...

Treffer: Uplifting Interviews in Social Science with Individual Data Visualization

Title:
Uplifting Interviews in Social Science with Individual Data Visualization
Uplifting Interviews in Social Science with Individual Data Visualization: The case of Music Listening
Authors:
Cura, Robin, Beaumont, Amélie, Beuscart, Jean-Samuel, Coavoux, Samuel, Latreille de Fozières, Noé, Le Bigot, Brenda, Renisio, Yann, Moussallam, Manuel, Louail, Thomas
Contributors:
Géographie-cités (GC (UMR_8504)), Université Paris 1 Panthéon-Sorbonne (UP1)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Centre de recherches sociologiques et politiques de Paris (CRESPPA), Université Paris 8 (UP8)-Université Paris Nanterre (UPN)-Centre National de la Recherche Scientifique (CNRS), Orange Labs, Institut Polytechnique de Paris (IP Paris), Département Sciences Economiques et Sociales (SES), Télécom Paris, Institut Mines-Télécom [Paris] (IMT)-Institut Polytechnique de Paris (IP Paris)-Institut Mines-Télécom [Paris] (IMT)-Institut Polytechnique de Paris (IP Paris), Numérique, Organisation et Société (NOS), Institut interdisciplinaire de l’innovation de Telecom Paris (I3 SES), Institut Mines-Télécom [Paris] (IMT)-Institut Polytechnique de Paris (IP Paris)-Institut Mines-Télécom [Paris] (IMT)-Institut Polytechnique de Paris (IP Paris)-Institut interdisciplinaire de l’innovation (I3), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Télécom Paris, Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Migrations internationales, espaces et sociétés [UMR 7301] (Migrinter [Poitiers]), Université de Poitiers = University of Poitiers (UP)-Centre National de la Recherche Scientifique (CNRS), Observatoire sociologique du changement (Sciences Po, CNRS) (OSC), Sciences Po (Sciences Po)-Centre National de la Recherche Scientifique (CNRS), Deezer Research, This work is a part of the RECORDS (records.huma-num.fr) research project. RECORDS is funded by the French National Research Agency (ANR) under the reference ANR-19-CE38-0013., Simone Barbosa, Cliff Lampe, Caroline Appert, David A. Shamma, ANR-19-CE38-0013,RECORDS,pRatiques dEs publiCs des platefORmes De Streaming musical(2019)
Source:
CHI '22: CHI Conference on Human Factors in Computing Systems. :1-9
Publisher Information:
CCSD; Association for Computing Machinery (ACM), New York (NY), United States, 2022.
Publication Year:
2022
Collection:
collection:SHS
collection:UNIV-PARIS1
collection:SCIENCESPO
collection:UNIV-PARIS8
collection:CNRS
collection:UNIV-PARIS10
collection:UNIV-POITIERS
collection:EHESS
collection:GEOGRAPHIE-CITE
collection:AO-SOCIOLOGIE
collection:TELECOM-PARISTECH
collection:SOCIOLOGIE
collection:MIGRINTER
collection:TDS-MACS
collection:CAMPUS-AAR
collection:AAI
collection:UPN
collection:CRESPPA
collection:I3-TPT
collection:SES
collection:IP_PARIS
collection:CONDORCET2
collection:CAMPUS-CONDORCET
collection:UNIV-PARIS-LUMIERES
collection:INSTITUTS-TELECOM
collection:UNIV-PARIS
collection:UNIVERSITE-PARIS
collection:UP-SOCIETES-HUMANITES
collection:ANR
collection:UNIV-PARIS-NANTERRE
collection:UNIV-PARIS8-OA
collection:SCPO_OA
collection:NOS
collection:PARTENARIATS-APP
collection:CRIS
collection:ENSMP_I3
collection:UMR_I3
collection:INSTITUT-MINES-TELECOM
collection:DEPARTEMENT-DE-MATHEMATIQUES
collection:IP-PARIS-SCIENCES-SOCIALES-ET-MANAGEMENT
Subject Terms:
computational social science, COM, PARIS team, Mixed methods research, personal data visualization, music streaming data, individual interviews, [SHS.SOCIO]Humanities and Social Sciences, Sociology, [INFO.INFO-CY]Computer Science [cs], Computers and Society [cs.CY], [INFO.INFO-HC]Computer Science [cs], Human-Computer Interaction [cs.HC]
Subject Geographic:
New Orleans, United States
Original Identifier:
ARXIV: 2204.06809
WOS: 001118038100006
HAL: hal-03694235
Document Type:
Konferenz conferenceObject<br />Conference papers
Language:
English
ISBN:
978-1-4503-9156-6
Relation:
info:eu-repo/semantics/altIdentifier/arxiv/2204.06809; info:eu-repo/semantics/altIdentifier/doi/10.1145/3491101.3503553
DOI:
10.1145/3491101.3503553
Access URL:
https://u-paris.hal.science/hal-03694235
https://u-paris.hal.science/hal-03694235v1/document
https://u-paris.hal.science/hal-03694235v1/file/2204.06809.pdf
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.hal.03694235v1
Database:
HAL

Weitere Informationen

Collecting accurate and fine-grain information about the music people like, dislike and actually listen to has long been a challenge for sociologists. As millions of people now use online music streaming services, research can build upon the individual listening history data that are collected by these platforms. Individual interviews, in particular, can benefit from such data, by allowing the interviewers to immerse themselves in the musical universe of consenting respondents, and thus ask them contextualized questions and get more precise answers. Designing a visual exploration tool allowing such an immersion is however difficult, because of the volume and heterogeneity of the listening data, the unequal "visual literacy"of the prospective users, or the interviewers' potential lack of knowledge of the music listened to by the respondents. In this case study we discuss the design and evaluation of such a tool. Designed with social scientists, its purpose is to help them in preparing and conducting semi-structured interviews that address various aspects of the listening experience. It was evaluated during thirty interviews with consenting users of a streaming platform in France.