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1、Semi-AutomatedTracking:ABalancedApproachforSelf-MonitoringApplicationsEunKyoungChoe,PennsylvaniaStateUniversitySaeedAbdullah,CornellUniversityMashfiquiRabbi,CornellUniversityEdisonThomaz,TheUniversityofTexasatAustinDanielA.Epstein,UniversityofWashingtonMatthewKay,Univers
2、ityofWashingtonFeliciaCordeiro,UniversityofWashingtonGregoryD.Abowd,GeorgiaInstituteofTechnologyTanzeemChoudhury,CornellUniversityJamesFogarty,UniversityofWashingtonBongshinLee,MicrosoftResearchMarkMatthews,CornellUniversityJulieA.Kientz,UniversityofWashingtonAbstractWep
3、resentanapproachfordesigningself-monitoringtechnologycalledsemi-automatedtracking,whichcombinesbothmanualandautomateddatacollectionmethods.Throughthisapproach,weaimtolowerthecaptureburdens,collectdatathatistypicallyhardtotrackautomatically,andpromoteawarenesstohelppeople
4、achievethegoalsofself-monitoring.Wefirstspecifythreedesignconsiderationsforsemi-automatedtracking—(1)datacapturefeasibility;(2)purposeofself-monitoring;and(3)motivationlevel.Wethenprovideexamplesofsemi-automatedtrackingapplicationsinthedomainsofsleep,mood,andfoodtracking
5、todemonstratestrategieswehavedevelopedtofindtherightbalancebetweenmanualtrackingandautomatedtracking,combiningeachoftheirbenefitswhileminimizingtheirassociatedlimitations.KeywordsSelf-monitoring;semi-automatedtracking;personalinformatics;sleeptracking;foodtracking;moodtr
6、acking.1.IntroductionSelf-monitoringforhealthbehaviorchangeisanimportantpracticeacrossnumerousdomains(e.g.,diet,physicalactivity,sleep,stress).Studieshaveshownthatself-monitoringcanenablegreaterawarenessofbehaviorsandcancreateareactiveeffectyieldingpositive,therapeuticbe
7、haviorchanges(see[1]forareviewofself-monitoringresearch).Althoughself-monitoringhasbeenusedsuccessfullyforbehaviorchangeinterventions,itshighdatacollectionburdensinbothpaperandelectronictoolshinderpeoplefromadoptinglong-termself-monitoringpractices[2].Forexample,foodtrac
8、kingcanhelpachievepositivebehaviorchangeforweightlossandotherfood-relatedissues,butthehighburdensoffood
