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