Social Interfaces

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Social Interfaces

  1. 1. SOCIALinterfacesmax van kleeksociam retreatpony land, new forest1 october 2012Tuesday, 7 May 13
  2. 2. 3 challenges1 - crowdsourcing data2 - human motivation3 - behavioural designTuesday, 7 May 13
  3. 3. 1 - crowdsourcing data2 - human motivation3 - behavioural design3 challengesTuesday, 7 May 13
  4. 4. Tuesday, 7 May 13
  5. 5. motivation is clear;Tuesday, 7 May 13
  6. 6. mumbai terror crisismotivation is clear;Tuesday, 7 May 13
  7. 7. mumbai terror crisishaiti damage reportmotivation is clear;Tuesday, 7 May 13
  8. 8. mumbai terror crisishaiti damage report japan nuclear crisismotivation is clear;Tuesday, 7 May 13
  9. 9. mumbai terror crisishaiti damage report japan nuclear crisismotivation is clear;data challenges remain.Tuesday, 7 May 13
  10. 10. C1. violations of statistical assumptionsC2. variability in expertise:unknown experience, biasesmotivation and intention factorsC3. gaming the systemTuesday, 7 May 13
  11. 11. C1. violations of statistical assumptionsC2. variability in expertise:unknown experience, biasesmotivation and intention factorsC3. gaming the systemnon-probability sampling methodsconvenience sampling, snowball samplingstatistical data analysis,multi-factor latent process analysisrobust statistical ranking, scoringgame-proofing designTuesday, 7 May 13
  12. 12. [Haiti Earthquake Usahidi] Can unbounded crowdsourcing (non-representative sampling) via SMS predict actual damage?http://irevolution.net/2010/10/13/crowdsourced-prediction/Tuesday, 7 May 13
  13. 13. 8,163 copies of Warand Peace(June 2011)“Is It Really About Me? Message Content in SocialAwareness Streams” [Naaman et al. CSCW ’10]information sharing (IS) 0.2self promotion (SP) 0.05opinions/complaints (OC) 0.25statements and random thoughts 0.25me now (ME) 0.4questions to followers (QF) 0.05presence maintenance (PM) 0.05anecdote by me (AM) 0.05anecdote by others (AO) 0.01Tuesday, 7 May 13
  14. 14. likertorderingpickbestUser visits http://twiage.me andregisters1.2.A question/tournamentis chosenOne of three types ofrounds are selected randomly3.The user’s score is talliedand their rankings aredisplayed. Next round starts.4.Twiage - Van Kleek et al. CHI 2012Tuesday, 7 May 13
  15. 15. Q1:Q2:Q3:twiageuser selections/ratingsEWR ELO LRrank set (66%)Rank agreementClassification agreement(Top 5%)test set (33%)EWR ELO LRAgreementmeasuresrandomlydivideTuesday, 7 May 13
  16. 16. EmpiricalWinElo Raw LikertAll 69.7 (0.9) 72.8 (0.9) n/aPick-Best 71.2 (3.0) 75.5 (0.8) n/aLikert 67.7 (1.6) 71.4 (1.6) 64.8 (2.0)Ordering 63.3 (1.9) 62.4 (2.2) n/aranking schemeroundtyperank agreementTuesday, 7 May 13
  17. 17. 1 - crowdsourcing data2 - human motivation3 - behavioural design3 challengesTuesday, 7 May 13
  18. 18. Tuesday, 7 May 13
  19. 19. minecraftenterprise-dTuesday, 7 May 13
  20. 20. Tuesday, 7 May 13
  21. 21. Reddit, Digg, Slashdot, HackerNews, .CrowdfilteringTuesday, 7 May 13
  22. 22. Yahoo! Answers, Knowledge NI, QuoraSocial Q&ATuesday, 7 May 13
  23. 23. Software development + debugging assistancSocial CodingTuesday, 7 May 13
  24. 24. Software development + debugging assistancSocial CodingTuesday, 7 May 13
  25. 25. Tumblr - Pinterest/Pinspire - Path76.6 Million Blogs, 32.6 Billion Posts50GB of posts added each day; follower list updatesare roughly another 2.7 terabytes dailyYoutube, VimeoContent creation andcuration networks:Blogging, Tumblogging,Vlogging, Geotumbling,Facebooking.Wordpress, Livejournal,Tuesday, 7 May 13
  26. 26. what attracts participation in these communities?what drives continued involvement?what causes communities and platforms to fail ?Tuesday, 7 May 13
  27. 27. theories of human motivationinstinctincentivedrivearousalidentity/self-expressionrole fulfillmentbrand/image/communityassociationsocial contactTuesday, 7 May 13
  28. 28. theories of human motivationinstinctincentivedrivearousalidentity/self-expressionrole fulfillmentbrand/image/communityassociationsocial contactwhat does this have to do with interfacedesign?{ fb / G+ } - real-name policythe saga of orkut, myspace and deadcommunitiesthe un-instagramsTuesday, 7 May 13
  29. 29. 1 - people as data sources2 - human motivation3 - behavioural design3 challengesTuesday, 7 May 13
  30. 30. HOW DO interface ARTEFACTS affect human behaviour?Tuesday, 7 May 13
  31. 31. Luce’s Model of ChoiceViolations of principle of proportionalitySimilarity Hypothesis (Tversky et al. 1972)Regularity HypothesisAsymmetrically Dominated Alternatives(Huber et al. 1982)Tuesday, 7 May 13
  32. 32. Tuesday, 7 May 13
  33. 33. SNACKBOTMin Kyung Lee, CMU CHI2011Tuesday, 7 May 13
  34. 34. default choice biaspresent-biased preferencesasymmetric choiceSNACKBOTMin Kyung Lee, CMU CHI2011Tuesday, 7 May 13
  35. 35. tomorrow you would like :salad - sandwichfor a snack: apple - cookiedefault choice biaspresent-biased preferencesasymmetric choiceSNACKBOTMin Kyung Lee, CMU CHI2011Tuesday, 7 May 13
  36. 36. tomorrow you would like :salad - sandwichfor a snack: apple - cookieYou selected a salad for lunch todaywould you like to keep this choiceor switch to a Roast Beef Sandwichwhat would you like tomorrow?default choice biaspresent-biased preferencesasymmetric choiceSNACKBOTMin Kyung Lee, CMU CHI2011Tuesday, 7 May 13
  37. 37. tomorrow you would like :salad - sandwichfor a snack: apple - cookieYou selected a salad for lunch todaywould you like to keep this choiceor switch to a Roast Beef Sandwichwhat would you like tomorrow?default choice biaspresent-biased preferencesasymmetric choiceapple - celery - cookieSNACKBOTMin Kyung Lee, CMU CHI2011Tuesday, 7 May 13
  38. 38. summary“Rapid Assembly of Social Machines”FLOSS Software Platforms (Tech. Infrastructure)To make truly effective Social Machines social interfacescan borrow/beg/steal from social and cognitive scienceCrowd-data distillationGroup coordination and mobilisationCore motivationLightweight structures ofdistributed management and coordinationInterface design choices that compel humansto be empowered, participate, motivate.Tuesday, 7 May 13

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