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The PartyVote The PartyVote Music Library Music Library Visualization Visualization
SystemSystemNo play list, no DJ, no problem!No play list, no DJ, no problem!
Nadia Rashid, David Sprague, and Fuqu Nadia Rashid, David Sprague, and Fuqu WuWu
Visualization GoalsVisualization Goals
1.1. Co-present music collaboration Co-present music collaboration for closely knit social groupsfor closely knit social groups
2.2. LightweightLightweight
3.3. Enable system understandingEnable system understanding
4.4. Optimal for participantsOptimal for participants
System UsageSystem Usage
10-20 participants10-20 participants 500+ songs500+ songs 6 hours of non-repeating music.6 hours of non-repeating music.
Voting & Music SelectionVoting & Music Selection
All songs start with weighting of 0All songs start with weighting of 0 Participants vote for a song/album or Participants vote for a song/album or
artistartist Weight = Weight + (1/# of songs)Weight = Weight + (1/# of songs) Similar songs also affected by votes.Similar songs also affected by votes. High dimensional cluster/hull defined High dimensional cluster/hull defined
by songs with weight > 0by songs with weight > 0 Songs in this cluster are potentially Songs in this cluster are potentially
played.played.
ChallengesChallenges
MDS and Convex Hull/Clustering MDS and Convex Hull/Clustering Algorithm.Algorithm.
Lots and LOTS of codingLots and LOTS of coding
Evaluation and distance metric Evaluation and distance metric tweakingtweaking
Visualization Goals Visualization Goals RevisitedRevisited
1.1. Co-present music collaboration Co-present music collaboration for closely knit social groups for closely knit social groups ✔✔
2.2. Lightweight Lightweight ✔✔
3.3. Enable system understanding Enable system understanding ✔✔
4.4. Optimal for participants Optimal for participants ✔✔