TowardsaVisualVocabularyforPrivacyConcepts

VivianGenaroMo:vmo%@gmu.edu

KellyCainecaine@clemson.edu

WashingtonDC,VASeptember21st,2016

WhatisPrivacy?

AMulFdisciplinaryConcept

•  NocommonagreementsoruniversalsoluFon

Privacy…

Personal

Cultural

Legal

Technical

Contextual

…

ExisFngSoluFonsforPrivacy

TermsandCondiFons

Policies

Se%ngsNon-

DisclosureAgreements

Drawbacks

Technical

Long

Complex Notuser-centric

PrivacyinPracFce

PrivacyinPracFce

Users’MentalModels

•  OnPrivacyImagery

WhoPeople,insFtuFons,

organizaFons

HowObjects,acFons,behaviors

WhyGoals,feelings,emoFons

WhereLocaFons,places

Themes

TaxonomyAcAon Analyzing,AuthenFcaFng,Blindfolding,Blocking,Blurring,

Covering,ConnecFng,Closing,Dimming,Disclosing,Erasing,Forwarding,Hiding,Localizing,Locking/Unlocking,Looking,Observing/beingobserved,Packing,ProtecFng,ProtesFng,Revealing,Sharing,Shredding,Spying,Surveilling,Synchronizing,Uploading,Uncovering

Object BlockersControlsSensorsStorage

Blinders,Curtains,Diary,Door,Fence,GateKey,Message,Padlock,Wall,WindowsSemaphoreCamera,Camcorder,MicrophoneMemoryCard,Cloud

OrganizaAon RegulatorySocialMedia&I.T.

NSA,HIPPAAAshleyMadison,Bitcoin,Facebook,Google+,Instagram,Pinterest,RSS,Twi_er,Whatsapp

People RolePublicPersonsCircle

PoliFcians,LegislatorsEdwardSnowden,GeorgeOrwellGroup,Individual

Concept Betrayal,ConfidenFality,Creepiness,Exclusivity,ConceptsFear,InFmacy,IsolaFon,Loneliness,Publicvs.Private,Safety,Secrecy,Shame

AcFonsshredding

hiding

spying

microphone

Objects

cameras

door

padlock

OrganizaFons

NSA

SocialMedia

People

Snowden

Hillary

Concepts

Solitude

IsolaFon

FrequencyofCodes

•  AcFonsandobjectswerethemostfrequent– n=73andn=39

•  UIdesignersfocusmainlyonacFons– Privicons,Materialicons,Mozillaicons

•  Variability–  Instagramwasthemostdiversesourceintermsofcodes

– Allcodeswereused

PrivacyAssurance

•  Mostfrequentcodes

– RealworldacAons– Physicalobjects– Privacymechanisms

PrivacyRequirements

•  Data-driven,temporalperspecFve

DatacollecFon

Datatransmission

Datastorage

Datasharing(accesscontrol)

PrivacyMetaphors

FinalRemarks

•  PrivacyisamulFdisciplinaryconcept

•  User-centricapproachcanhelptounderstandusers’mentalmodelsandaidtocreateprivacysoluFonsthatareeasiertouse– Bymatchingfamiliarandreal-worldconceptswithUIdesignelements

Acknowledgment•  This material is based upon work supported by the NaFonal Science

FoundaFon under Grant No. 1314342. Any opinions, findings, andconclusionsor recommendaFonsexpressed in thismaterial are thoseofthe author(s) and do not necessarily reflect the views of the NaFonalScienceFoundaFon.

References•  AcquisF,A.,Brandimarte,L.,&Loewenstein,G.(2015).Pri-

vacyandhumanbehaviorintheageofinformaFon.Sci-ence,347(6221),509-514.

•  Balebako,R.,Leon,P.,Shay,R.,Ur,B.,Wang,Y.,&Cranor,L.(2012,May).MeasuringtheeffecFvenessofprivacytoolsforlimiFngbehavioraladverFsing.InWeb2.0Se-curityandPrivacyWorkshop.

•  Caine,K.,Kisselburgh,L.G.,&Lareau,L.(2011,May).Au-diencevisualizaFoninfluencesdisclosuresinonlinesocialnetworks.InCHI'11ExtendedAbstractsonHumanFac-torsinCompuFngSystems(pp.1663-1668).ACM.

•  LorrieCranor–PrivacyIllustratedWebsite.(2015)At:h_p://cups.cs.cmu.edu/privacyillustrated/

Q+A