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MusicFX Joe McCarthy Intel Research, Seattle. Active Environments Most environments are passive -- deaf, dumb & blind -- unaware of their inhabitants.

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Presentation on theme: "MusicFX Joe McCarthy Intel Research, Seattle. Active Environments Most environments are passive -- deaf, dumb & blind -- unaware of their inhabitants."— Presentation transcript:

1 MusicFX Joe McCarthy Intel Research, Seattle

2 Active Environments Most environments are passive -- deaf, dumb & blind -- unaware of their inhabitants and unable to assist them in a meaningful way. In contrast, an active environment is physical space senserespond appropriately peopleactivities a physical space that can sense and respond appropriately to the people and activities taking place within it.

3 MusicFX

4 The Irritations behind MusicFX UbiComp: technology in search of a problem? Music in a Fitness Center –Popular in the Complaint Department 25% of “feedback” focused on music –RSI: Repetitive Song Injury 3 stations played, 91 available (DMX) –Squeaky Wheels Vocal minority prevails over silent majority –Hangovers This morning’s music = last night’s music Inspiration

5 The MusicFX System Database of musical preferences –91 genres, 5-point scale Group Preference Arbitration algorithm –Group Preference Calculation –Candidate Identification –Weighted Random Selection operator Environmental Events (algorithm triggers)

6 An example iGenre PersonABCDE GP i Pr i 1Alternative Rock22022680.48 2Hottest Hits1120-2380.27 3New Music11100350.25 4Hot Country2000-2280.00 5Dance21 280.00 6World Beat011-2230.00 7Traditional Country100-2 170.00 850's Oldies000 140.00 9Heavy Metal -240.00 10Polka -2 20.00

7 Daily operation: Nov. 1997 – Dec. 2001 Poll results (after 6 weeks): +: increased variety, having some influence -: abrupt changes, occasional “bad” music The Success of MusicFX

8 MusicFX: Fun Facts Charts –Top 10, Bottom 13, Uncharted territory Human Nature –Average individual musical preferences –Individual Preference Filter: NOT –Interesting anecdotes

9 Top 10 Genres

10 Bottom 13 Genres

11 Other Unexperienced Genres

12 Average Individual Preferences

13 Effect of IPF on Candidate Set Size Individual Preference Filter

14 Veto power & IPF Uncommon variety The Polka incident The Chinese Music incident MusicFX Anecdotes

15 Optimizing (?) MusicFX Problem: starvation –Outliers may never hear their music Solution: market-based economy –Multi-agent system (Naghi Prasad) –Wealth is redistributed according to preferences Policy issue –Please most people all the time vs. Please all people some of the time

16 Market-Based MusicFX Three kinds of people in this world –Happy (+2, +1), indifferent (0), unhappy (-1, -2) Blessed are the Unhappy... –Happy people pay unhappy people –Eventually, unhappy people can afford their music Is this good? –Only [simulated] time will tell "I cannot give you the formula for success, but I can give you the formula for failure, which is: Try to please everybody.” -- Herbert B. Swope

17 0 20 40 60 80 100 050100 %of members % of Satisfaction M AX -S AT E QUITABLE Max-SatEquitable% changeMax-SatEquitable% change 7000 5776-17.5%0.260.0194.2% Total SatisfactionGini Coefficient Results of Market-basedMusicFXSimulation Market Simulation

18 For more information Joe McCarthy –mccarthy@intel-research.net –seattleweb.intel-reseach.net/people/mccarthy Thanks! … Questions?


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