skip to main content
10.1145/3148330.3148331acmconferencesArticle/Chapter ViewAbstractPublication PagesgroupConference Proceedingsconference-collections
research-article

Reflektor: An Exploration of Collaborative Music Playlist Creation for Social Context

Published: 07 January 2018 Publication History

Abstract

Music is intrinsically linked to our social lives. As more music becomes available through streaming services, deciding what music is appropriate for social events becomes increasingly challenging and nuanced. While prior work has considered the social role of music and the creation of music playlists for user contexts, how individuals utilize music to create social contexts is an area that has largely gone unexplored. To investigate this topic, we created and evaluated a prototype music recommender system called Reflektor. Reflektor interactively visualizes users' chat conversations to generate music playlists. Our analysis of user conversations with Reflektor uncovered distinct strategies participants use to create the ambiance and conduct for social contexts. Our findings help to illuminate mismatches in the way metadata and recommendation systems align with user strategies to create social context. We elaborate on these strategies and discuss design implications for future collaborative music recommender systems.

References

[1]
Douglas Bates, Martin Mächler, Ben Bolker, and Steve Walker. 2014. Fitting Linear Mixed-Effects Models using lme4. submitted to Journal of Statistical Software 67, 1: 51.
[2]
Jared S. Bauer, Alex Jansen, and Jesse Cirimele. 2011. MoodMusic: A Method for Cooperative, Generative Music Playlist Creation. In Proceedings of the 24th annual ACM symposium adjunct on User interface software and technology - UIST '11 Adjunct, 85.
[3]
Stephan Baumann, Björn Jung, Arianna Bassoli, and Martin Wisniowski. 2007. BluetunA: let your neighbour know what music you like. Proceedings of ACM CHI 2007 Conference on Human Factors in Computing Systems 2: 1941--1946.
[4]
Timothy W. Bickmore and Justine Cassell. 2005. Social Dialogue with Embodied Conversational Agents. 23--54.
[5]
Barry Brown, Abigail J. Sellen, and Erik Geelhoed. 2001. Music Sharing as a Computer Supported Collaborative Application. In Proceedings of Ecscw 2001, 179--198.
[6]
Dave Cliff. 2006. hpDJ: An automated DJ with floorshow feedback. In Consuming Music Together, Kenton O'Hara and Barry Brown (eds.). Dordrecht, The Netherlands, 241--264.
[7]
Andrew Crossen, Jay Budzik, and Kristian J. Hammond. 2002. Flytrap: intelligent group music recommendation. Proceedings of the 7th international conference on Intelligent user interfaces - IUI '02: 184.
[8]
Jane W. Davidson. 2004. Music as Social behavior. In Empirical Musicology: Aims, Methods, Prospects, Eric Clarke and Nicholas Cook (eds.). Oxford University Press, New York, New York, USA, 57--76.
[9]
Tia Denora. 1999. Music as a technology of the self. Poetics 27, 1: 31--56.
[10]
Tia DeNora. 2000. Music in everyday life. Cambridge University Press.
[11]
1Tia DeNora. 2005. Music and Social Experience. In The Blackwell Companion to the Sociology of Culture, Blackwell (Jacobs M,), Mark D. Jacobs and Nancy Weiss Hanrahan (eds.). Blackwell Publishing Ltd., Malden, MA, 147--159.
[12]
Anind K. Dey. 2001. Understanding and using context. Personal and ubiquitous computing: 4--7.
[13]
Anind K. Dey and Gregory D. Abowd. 2000. Towards a better understanding of context and context-awareness. In CHI 2000 workshop on the what, who, where, when, and how of context-awareness, 1--6.
[14]
Paul Dourish. 2004. What we talk about when we talk about context. Personal and Ubiquitous Computing 8, 1: 19--30.
[15]
Daniel A Epstein, An Ping, James Fogarty, Sean A Munson, Computer Science, and Human Centered Design. 2015. A Lived Informatics Model of Personal Informatics. In UbiComp '15, 731--742.
[16]
Yazhong Feng, Yueting Zhuang, and Yunhe Pan. 2003. Popular music retrieval by detecting mood. In Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval - SIGIR '03, 375.
[17]
Harold Garfinkel. 1964. Studies of the Routine Grounds of Everyday Activities. Social Problems 11, 3: 225--250.
[18]
Charles Goodwin and Marjorie Harness Goodwin. 1992. Assessments and the construction of context. In Rethinking Context: Language as an Interactive Phenomenon. 147--189.
[19]
Byeong Jun Han, Seungmin Rho, Sanghoon Jun, and Eenjun Hwang. 2010. Music emotion classification and context-based music recommendation. Multimedia Tools and Applications 47, 3: 433--460.
[20]
David J. Hargreaves and Adrian C. North. 1999. The Functions of Music in Everyday Life: Redefining the Social in Music Psychology. Psychology of Music 27: 71--83.
[21]
Steve Harrison, Deborah Tatar, and Phoebe Sengers. 2007. The three paradigms of HCI. In alt.CHI.
[22]
2Jennifer Healey, Rosalind W. Picard, and Frank Dabek. 1998. A New Affect-Perceiving Interface and Its Application to Personalized Music Selection. In In Workshop on Perceptual User Interfaces,(San Francisco).
[23]
David S Kirk, Abigail Durrant, Gavin Wood, Tuck Wah Leong, Peter Wright, and Newcastle Tyne. 2016. Understanding the Sociality of Experience in Mobile Music Listening with Pocketsong. In DIS 2016, 50--61.
[24]
Hannu Kukka and Rodolfo Patino. 2009. UbiRockMachine: A Multimodal Music Voting Service for Shared Urban Spaces. In Proceedings of the 8th International Conference on Mobile and Ubiquitous Multimedia - MUM 09, 1--8.
[25]
George Lakoff. 1987. Women, Fire, and Dangerous Things: What Categories Reveal about the Mind. The University of Chicago Press.
[26]
Tuck W. Leong and Peter C. Wright. 2013. Revisiting social practices surrounding music. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI '13, 951.
[27]
Andrés Lucero. 2012. Framing, aligning, paradoxing, abstracting, and directing. In Proceedings of the Designing Interactive Systems Conference on - DIS '12, 438.
[28]
Giuseppe Mantovani. 1996. Social context in HCl: A new framework for mental models, cooperation, and communication. Cognitive Science 20: 237--269.
[29]
Joseph F. E. McCarthy and Theodore D. Anagnost. 1998. MUSICFX: an arbiter of group preferences for computer supported collaborative workouts. In CSCW '1998 Proceedings of the 1998 ACM conference on Computer supported cooperative work, 348.
[30]
Deana McDonagh and Howard Denton. 2005. Exploring the degree to which individual students share a common perception of specific mood boards: observations relating to teaching, learning and team-based design. Design Studies 26, 1: 35--53.
[31]
Kenton O'Hara, Matthew Lipson, Marcel Jansen, Axel Unger, Huw Jeffries, and Peter Macer. 2004. Jukola: Democratic Music Choice in a Public Space. In Proceedings of the 2004 conference on Designing interactive systems processes, practices, methods, and techniques - DIS '04, 145.
[32]
Nuria Oliver and Fernando Flores-Mangas. 2006. MPTrain: a mobile, music and physiology-based personal trainer. Proceedings of the 8th conference on Human-computer interaction with mobile devices and services Helsinki,: 21--28.
[33]
R Core Team. 2012. R: A language and environment for statistical computing. Vienna, Austria.
[34]
Yvonne Rogers. 2004. New theoretical approaches for human-computer interaction. Annual Review of Information Science and Technology 38, 1: 87--143.
[35]
Albrecht Schmidt. 2000. Implicit human computer interaction through context. Personal Technologies 4, 2--3: 191--199.
[36]
Robin Sease and David W. McDonald. 2009. Musical fingerprints: Collaboration around home media collections. Proceedings of the ACM 2009 international conference on Supporting group work: 331--340.
[37]
Jan Seeburger, Marcus Foth, and Dian Tjondronegoro. 2012. The sound of music: sharing song selections between collocated strangers in public urban places. In Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia - MUM '12, 1.
[38]
Abigail J. Sellen, Yvonne Rogers, Richard Harper, and Tom Rodden. 2009. Reflecting human values in the digital age. Communications of the ACM 52, 3: 58.
[39]
Henrik Sørensen and Selma Lagerl. 2012. The Interaction Space of a Multi-Device, Multi-User Music Experience. In NordiCHI '12 Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design Pages 504--513, 504--513.
[40]
David Sprague, Fuqu Wu, and Melanie Tory. 2008. Music selection using the PartyVote democratic jukebox. In Proceedings of the working conference on Advanced visual interfaces - AVI '08, 433.
[41]
Jesse Vig, Shilad Sen, and John Riedl. 2012. The Tag Genome: Encoding Community Knowledge to Support Novel Interaction. ACM Transactions on Interactive Intelligent Systems 2, 3: 1--44.
[42]
Amy Voida, Rebecca E. Grinter, Nicolas Ducheneaut, W Keith Edwards, and Mark W. Newman. 2005. Listening in: practices surrounding iTunes music sharing. In Proceedings of the 2005 Annual Conference on Human Factors in Computing Systems - CHI '05.

Cited By

View all
  • (2024)Surveying More Than Two Decades of Music Information Retrieval Research on PlaylistsACM Transactions on Intelligent Systems and Technology10.1145/368839815:6(1-68)Online publication date: 12-Aug-2024
  • (2022)Collaborative Playlist-Making: Musical Interaction via Digitally Mediated Co-CurationMusic & Science10.1177/205920432210769565Online publication date: 10-Feb-2022
  • (2022)Considering emotions and contextual factors in music recommendation: a systematic literature reviewMultimedia Tools and Applications10.1007/s11042-022-12110-z81:6(8367-8407)Online publication date: 2-Feb-2022
  • Show More Cited By

Index Terms

  1. Reflektor: An Exploration of Collaborative Music Playlist Creation for Social Context

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    GROUP '18: Proceedings of the 2018 ACM International Conference on Supporting Group Work
    January 2018
    422 pages
    ISBN:9781450355629
    DOI:10.1145/3148330
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 07 January 2018

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. collaborative playlist creation
    2. contextual music recommendations
    3. group displays
    4. mood boards
    5. natural language processing.

    Qualifiers

    • Research-article

    Conference

    GROUP '18
    Sponsor:
    GROUP '18: 2018 ACM Conference on Supporting Groupwork
    January 7 - 10, 2018
    Florida, Sanibel Island, USA

    Acceptance Rates

    GROUP '18 Paper Acceptance Rate 22 of 94 submissions, 23%;
    Overall Acceptance Rate 125 of 405 submissions, 31%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)25
    • Downloads (Last 6 weeks)13
    Reflects downloads up to 17 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Surveying More Than Two Decades of Music Information Retrieval Research on PlaylistsACM Transactions on Intelligent Systems and Technology10.1145/368839815:6(1-68)Online publication date: 12-Aug-2024
    • (2022)Collaborative Playlist-Making: Musical Interaction via Digitally Mediated Co-CurationMusic & Science10.1177/205920432210769565Online publication date: 10-Feb-2022
    • (2022)Considering emotions and contextual factors in music recommendation: a systematic literature reviewMultimedia Tools and Applications10.1007/s11042-022-12110-z81:6(8367-8407)Online publication date: 2-Feb-2022
    • (2021)AI as Social Glue: Uncovering the Roles of Deep Generative AI during Social Music CompositionProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445219(1-11)Online publication date: 6-May-2021
    • (2018)Collaborative Live Media CurationProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3174129(1-14)Online publication date: 21-Apr-2018

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media