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1、UnderstandingAffectiveInteraction:Emotion,Engagement,andInternetVideosShaowenBardzell,JeffreyBardzell,TylerPaceIndianaUniversitySchoolofInformaticsandComputingth919E10Street,Bloomington,IN47408{selu;jbardzel;tympace}@indiana.edufriends/colleagues.However
2、,aspopularInternetvideoAbstractmaybe,littleisknownabouthowviewersengagewithandrespondtotheemotion-ladencontentpresentinInternetvideos.Moreover,InternetvideosareshortandAsinterestinexperienceandaffectinHCIcontinuesrequireactiveparticipationfromuserstonavi
3、gatetogrow,particularlywithregardtosocialmediaandamongthemillionsofoptionsavailabletothem.Web2.0technologies,researchontechniquesforThegoalofthisstudywastodevelopamixedmethodevaluatinguserengagementisneeded.Thispaperapproach[9]thatwouldenableustocollecta
4、rangeofpresentsastudyofpopularInternetvideosinvolvingadatathatmayshedlightontherelationshipsbetweenmixedmethodapproachtouserengagement.emotionanduserpreferencesandcriticalassessmentsofInstrumentsincludedphysiologicalmeasures,emotionalviralvideos.Ourresea
5、rchapproach,describedinmoreself-reportmeasures,andpersonallyexpressivedetailbelow,includesarangeofphysiologicaltechniques,suchasopen-endedprosereviews.Usingmeasures,emotionalself-reportmeasures,andtriangulationtointerprettheresults,weexpresspersonallyexp
6、ressivetechniquessuchasopen-endedrelationshipsamongperceivedemotion,experiencedprosereviews.These,whencombinedwithbehavioralemotion,videopreference,andcontextualfactors.dataregardingthenavigationchoicesandsequencesduringviewing,providearobustsetofdataabo
7、uttheroleofemotioninthenavigationofInternetvideo.1.IntroductionSituatedinhuman-computerinteraction’s(HCI)2.StudyDesigndecade-longpreoccupationwiththepersonal,theThestudyusesafour-tierapproachthatcombinesembodied,andthesubjective,asseenintheformsofphysiol
8、ogical,behavioral,subjective,andself-reportingexperiencedesign[28],emotionaldesign[30],affectivedatasources,asdescribedbelow.computinghasrisentoprominence,bothinitsownright,andalsoinresearchareasrelatedtoit,includinguserex
