Copy and paste the code below into your blog post or website
Copy URL
Embed into WordPress (learn more)
Comments
comments powered by DisqusPresentation Slides & Transcript
Presentation Slides & Transcript
T HE D IGITAL P ANOPTICON N UMBERS K NOWLEDGE N ORMALISATION C OMMUNICATION V ARIANCE Surveil&Calculate KatharinaSpiel FacultyofMedia BauhausUniversit250atWeimar May21,2014
T HE D IGITAL P ANOPTICON N UMBERS K NOWLEDGE N ORMALISATION C OMMUNICATION V ARIANCE T ABLEOF C ONTENTS T HE D IGITAL P ANOPTICON N UMBERS Statistics Categories K NOWLEDGE N ORMALISATION C OMMUNICATION Twitter VirtualGuides V ARIANCE
T HE D IGITAL P ANOPTICON N UMBERS K NOWLEDGE N ORMALISATION C OMMUNICATION V ARIANCE B ENTHAM ' S P RISON
T HE D IGITAL P ANOPTICON N UMBERS K NOWLEDGE N ORMALISATION C OMMUNICATION V ARIANCE W ACHOWSKI M ATRIX
T HE D IGITAL P ANOPTICON N UMBERS K NOWLEDGE N ORMALISATION C OMMUNICATION V ARIANCE P ERSONAS Physicalworld: I Personasasingularentityperformingdifferentroles Digitalworld: I Singleidentitycanbeusedbymultiplephysicalpeople I Multipleidentitiescanbeheldbyasingleperson 051 Noconnectiontothephysicalpersonrequired. But:Blurringofidentitiesandtheirpresentationhappens.
T HE D IGITAL P ANOPTICON N UMBERS K NOWLEDGE N ORMALISATION C OMMUNICATION V ARIANCE S TATISTICS I Statisticsis224thebusinessofinterpretingobservational data,soastoobtainabetterunderstandingofthereal world224[Fisher,1955] I Degreeofcon002denceintheeffectsofthedata I Analysisofstatisticaldatacanonlybeperformedalonga setofcategories
T HE D IGITAL P ANOPTICON N UMBERS K NOWLEDGE N ORMALISATION C OMMUNICATION V ARIANCE C ATEGORIES
T HE D IGITAL P ANOPTICON N UMBERS K NOWLEDGE N ORMALISATION C OMMUNICATION V ARIANCE C ATEGORIES
T HE D IGITAL P ANOPTICON N UMBERS K NOWLEDGE N ORMALISATION C OMMUNICATION V ARIANCE C ATEGORIES
T HE D IGITAL P ANOPTICON N UMBERS K NOWLEDGE N ORMALISATION C OMMUNICATION V ARIANCE C ATEGORIES
T HE D IGITAL P ANOPTICON N UMBERS K NOWLEDGE N ORMALISATION C OMMUNICATION V ARIANCE C ATEGORIES
T HE D IGITAL P ANOPTICON N UMBERS K NOWLEDGE N ORMALISATION C OMMUNICATION V ARIANCE K NOWLEDGE
T HE D IGITAL P ANOPTICON N UMBERS K NOWLEDGE N ORMALISATION C OMMUNICATION V ARIANCE N ORMALISATION
T HE D IGITAL P ANOPTICON N UMBERS K NOWLEDGE N ORMALISATION C OMMUNICATION V ARIANCE N ORMALISATION
T HE D IGITAL P ANOPTICON N UMBERS K NOWLEDGE N ORMALISATION C OMMUNICATION V ARIANCE N ORMALISATION
T HE D IGITAL P ANOPTICON N UMBERS K NOWLEDGE N ORMALISATION C OMMUNICATION V ARIANCE T WITTER I Limitationsofstyle:140characters I Systemlimitations:storageandprivacy I self-disciplinevs.discipliningbyothers
T HE D IGITAL P ANOPTICON N UMBERS K NOWLEDGE N ORMALISATION C OMMUNICATION V ARIANCE V IRTUAL G UIDES I Communicationonlyhappensinaknownsetofcases I Iterativerecording,testingandimplementationhelps broadeningsetsofinteraction I Problem:Discipliningofusersbypreviousinteractionvia expectations
T HE D IGITAL P ANOPTICON N UMBERS K NOWLEDGE N ORMALISATION C OMMUNICATION V ARIANCE V ARIANCE I Statisticalmeansidentifyoutliersaccordingtovariance analysis I Removingoutliersleadstolessvariance I Statisticalmethodsinsurveillancemakeeveryoneadata pointandeveryoutlierinteresting I Statisticalmethodsinhuman-computerinteractionmake everyinteractionadatapointandoutliersapointof interestforfurtherdevelopment I Softwareandusersin003uenceeachother I Toenrichthevarianceinuserinteraction,monitoringis suggested 050however,notwithouttheuserknowingabout it051