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Music selection using the PartyVote democratic jukebox

Published: 28 May 2008 Publication History

Abstract

PartyVote is a democratic music jukebox designed to give all participants an equal influence on the music played at social gatherings or parties. PartyVote is designed to provide appropriate music in established social groups with minimal user interventions and no pre-existing user profiles. The visualization uses dimensionality reduction to show song similarity and overlays information about how votes affect the music played. Visualizing voting decisions allows users to link music selections with individuals, providing social awareness. Traditional group norms can subsequently be leveraged to maintain fair system use and empower users.

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cover image ACM Conferences
AVI '08: Proceedings of the working conference on Advanced visual interfaces
May 2008
483 pages
ISBN:9781605581415
DOI:10.1145/1385569
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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Publication History

Published: 28 May 2008

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Author Tags

  1. CSCW
  2. entertainment
  3. group dynamics
  4. information visualization
  5. music map
  6. music systems
  7. social interaction
  8. voting

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  • (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
  • (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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