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Uplifting Interviews in Social Science with Individual Data Visualization ; Uplifting Interviews in Social Science with Individual Data Visualization: The case of Music Listening

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  • معلومة اضافية
    • 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 Vincennes-Saint-Denis (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; Numérique, Organisation et Société (NOS); Institut interdisciplinaire de l’innovation de Telecom Paris (I3 SES); Télécom Paris-Institut interdisciplinaire de l’innovation (I3); Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Télécom Paris-Institut interdisciplinaire de l’innovation (I3); 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)
    • بيانات النشر:
      HAL CCSD
      Association for Computing Machinery (ACM), New York (NY), United States
    • الموضوع:
      2022
    • Collection:
      MINES ParisTech: Archive ouverte / Open Archive (HAL)
    • الموضوع:
    • نبذة مختصرة :
      International audience ; 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.
    • Relation:
      info:eu-repo/semantics/altIdentifier/arxiv/2204.06809; ARXIV: 2204.06809
    • الرقم المعرف:
      10.1145/3491101.3503553
    • الدخول الالكتروني :
      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
      https://doi.org/10.1145/3491101.3503553
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.9D8A48A