Music selection using the PartyVote democratic jukebox

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.

REFERENCES

• 1: Richard Borovoy , Fred Martin , Sunil Vemuri , Mitchel Resnick , Brian Silverman , Chris Hancock, Meme tags and community mirrors: moving from conferences to collaboration, Proceedings of the 1998 ACM conference on Computer supported cooperative work, p.159-168, November 14-18, 1998, Seattle, Washington, United States [doi>10.1145/289444.289490]
• 2: Dennis L. Chao , Justin Balthrop , Stephanie Forrest, Adaptive radio: achieving consensus using negative preferences, Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work, November 06-09, 2005, Sanibel Island, Florida, USA [doi>10.1145/1099203.1099224]
• 3: Andrew Crossen , Jay Budzik , Kristian J. Hammond, Flytrap: intelligent group music recommendation, Proceedings of the 7th international conference on Intelligent user interfaces, January 13-16, 2002, San Francisco, California, USA [doi>10.1145/502716.502748]
• 4: C. Danis and A. Lee. Evolution of norms in a newly forming group. In Proc. INTERACT '05, 2005.
• 5: Mark de Berg , Marc van Kreveld , Mark Overmars , Otfried Schwarzkopf, Computational geometry: algorithms and applications, Springer-Verlag New York, Inc., Secaucus, NJ, 1997
• 6: Saul Greenberg , Michael Rounding, The notification collage: posting information to public and personal displays, Proceedings of the SIGCHI conference on Human factors in computing systems, p.514-521, March 2001, Seattle, Washington, United States [doi>10.1145/365024.365339]
• 7: A. Jameson and B. Smyth. Recommendation to groups. In The Adaptive Web, pages 596--627, 2007.
• 8: B. Kules, H. Kang, C. Plaisant, A. Rose, and B. Shneiderman. Immediate usability: a case study of public access design for a community photo library. Interacting with Computers, 16(6):1171--1193, 2004.
• 9: Joseph F. McCarthy , Theodore D. Anagnost, MusicFX: an arbiter of group preferences for computer supported collaborative workouts, Proceedings of the 1998 ACM conference on Computer supported cooperative work, p.363-372, November 14-18, 1998, Seattle, Washington, United States [doi>10.1145/289444.289511]
• 10: Joseph F. McCarthy , David W. McDonald , Suzanne Soroczak , David H. Nguyen , Al M. Rashid, Augmenting the social space of an academic conference, Proceedings of the 2004 ACM conference on Computer supported cooperative work, November 06-10, 2004, Chicago, Illinois, USA [doi>10.1145/1031607.1031615]
• 11: Meredith Ringel Morris , Anthony Cassanego , Andreas Paepcke , Terry Winograd , Ann Marie Piper , Anqi Huang, Mediating Group Dynamics through Tabletop Interface Design, IEEE Computer Graphics and Applications, v.26 n.5, p.65-73, September 2006 [doi>10.1109/MCG.2006.114]
• 12: Kenton O'Hara , Matthew Lipson , Marcel Jansen , Axel Unger , Huw Jeffries , Peter Macer, Jukola: democratic music choice in a public space, Proceedings of the 5th conference on Designing interactive systems: processes, practices, methods, and techniques, August 01-04, 2004, Cambridge, MA, USA [doi>10.1145/1013115.1013136]
• 13: Elias Pampalk , Andreas Rauber , Dieter Merkl, Content-based organization and visualization of music archives, Proceedings of the tenth ACM international conference on Multimedia, December 01-06, 2002, Juan-les-Pins, France [doi>10.1145/641007.641121]
• 14: Pandora.com. Radio from the music genome project. http://www.pandora.com/.
• 15: I. Stavness, J. Gluck, L. Vilhan, and S. Fels. The MUSICtable: a map-based ubiquitous system for social interaction with a digital music collection. In Proc. ICEC '05, pages 291--302, 2005.
• 16: G. Tzanetakis and P. Cook. Musical genre classification of audio signals. IEEE Trans. Speech and Audio Processing, 10(5):293--302, 2002.
• 17: Matt Williams , Tamara Munzner, Steerable, Progressive Multidimensional Scaling, Proceedings of the IEEE Symposium on Information Visualization, p.57-64, October 10-12, 2004 [doi>10.1109/INFOVIS.2004.60]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)

Additional Classification:
  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.3 Group and Organization Interfaces
      H.5.5 Sound and Music Computing

General Terms:
Design, Human Factors, Performance

Keywords:
CSCW, entertainment, group dynamics, information visualization, music map, music systems, social interaction, voting