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MusicFX: an arbiter of group preferences for computer supported collaborative workouts

Authors:

Joseph F. McCarthy,

Theodore D. AnagnostAuthors Info & Claims

CSCW '98: Proceedings of the 1998 ACM conference on Computer supported cooperative work

Pages 363 - 372

https://doi.org/10.1145/289444.289511

Published: 01 November 1998 Publication History

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Gabbolini GBridge D(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
https://dl.acm.org/doi/10.1145/3688398
Chang YHan SLee HLee SKim WChoi JMcCracken CSong J(2024)Understanding Instant Social Control of Shared Devices in Public Spaces: A Field TrialProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785928:3(1-33)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678592
Delic AEmamgholizadeh HNguyen TRicci F(2024)CHARM: a Group Decision Making Support ChatbotCompanion Proceedings of the 29th International Conference on Intelligent User Interfaces10.1145/3640544.3645220(7-10)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3640544.3645220
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MusicFX: an arbiter of group preferences for computer supported collaborative workouts

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Published In

CSCW '98: Proceedings of the 1998 ACM conference on Computer supported cooperative work

November 1998

436 pages

ISBN:1581130090

DOI:10.1145/289444

Chairmen:
Steven Poltrock
The Boeing Co.
,
Jonathan Grudin
Univ. of California, Irvine

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 ACM 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]

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Association for Computing Machinery

New York, NY, United States

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Published: 01 November 1998

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CSCW98

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CSCW98: Computer Supported Cooperative Work

November 14 - 18, 1998

Washington, Seattle, USA

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CSCW '98 Paper Acceptance Rate 41 of 220 submissions, 19%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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CSCW '25

Sponsor:
sigchi

Computer-Supported Cooperative Work and Social Computing

October 18 - 22, 2025

Bergen , Norway

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Cited By

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Gabbolini GBridge D(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
https://dl.acm.org/doi/10.1145/3688398
Chang YHan SLee HLee SKim WChoi JMcCracken CSong J(2024)Understanding Instant Social Control of Shared Devices in Public Spaces: A Field TrialProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785928:3(1-33)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678592
Delic AEmamgholizadeh HNguyen TRicci F(2024)CHARM: a Group Decision Making Support ChatbotCompanion Proceedings of the 29th International Conference on Intelligent User Interfaces10.1145/3640544.3645220(7-10)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3640544.3645220
Delić AEmamgholizadeh HRicci FMasthoff J(2024)Supporting Group Decision-Making: Insights from a Focus Group StudyProceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization10.1145/3627043.3659538(301-306)Online publication date: 22-Jun-2024
https://dl.acm.org/doi/10.1145/3627043.3659538
Kwak DPark SCha IKim HLim Y(2024)Investigating the Potential of Group Recommendation Systems As a Medium of Social Interactions: A Case of Spotify Blend Experiences between Two UsersProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642544(1-15)Online publication date: 11-May-2024
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Jiang PLin BZhang X(2024)LGRec:A Group Recommendation Method Based on Graph Convolutional Neural Networks2024 9th International Conference on Computer and Communication Systems (ICCCS)10.1109/ICCCS61882.2024.10603083(1343-1349)Online publication date: 19-Apr-2024
https://doi.org/10.1109/ICCCS61882.2024.10603083
Kumar CChowdary CMeena A(2024)Recent trends in recommender systems: a surveyInternational Journal of Multimedia Information Retrieval10.1007/s13735-024-00349-113:4Online publication date: 10-Oct-2024
https://doi.org/10.1007/s13735-024-00349-1
Chen SSou SHsieh H(2024)Top-N music recommendation framework for precision and novelty under diversity group size and similarityJournal of Intelligent Information Systems10.1007/s10844-023-00784-262:1(1-26)Online publication date: 1-Feb-2024
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TSUKUDA KISHIDA KHAMASAKI MGOTO M(2023)Kiite Cafe: A Web Service Enabling Users to Listen to the Same Song at the Same Moment While Reacting to the SongIEICE Transactions on Information and Systems10.1587/transinf.2023EDP7001E106.D:11(1906-1915)Online publication date: 1-Nov-2023
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Gray RVillareale JFox TDallal DOntanon SArigo DJabbari SZhu J(2023)Improving Fairness in Adaptive Social Exergames via Shapley BanditsProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584050(322-336)Online publication date: 27-Mar-2023
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