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Transcript of Opportunities and Challenges of Behavior Change Support ...
Opportunities and Challenges of Behavior Change Support Systems for Enhancing Habit Formation: A Qualitative Study
Abstract Theformationofhealthyhabitsisconsideredtoplayafundamentalrolein
healthbehaviorchange.AvarietyofstudiesonHealthBehaviorChangeSupport
Systems(HBCSS)havebeenconductedrecently,inwhichindividualsusesuch
systemstoinfluencetheirownattitudesorbehaviorstoachievetheirpersonal
goals.However,comparativelymuchlessresearchhasbeendevotedtostudying
howtheusersofthesesystemsformhabitswiththehelpofHBCSS,orto
understandinghowtodesignthesesystemstosupporthabitformation.
Objective:TheobjectiveofthisarticleistostudyHBCSSuserexperiences
regardinghabitformationthroughaninterventionstudytargetedatestablishing
ahealthierlifestyle.Thisstudyalsoaimstomaphabitformationstages,as
suggestedbyLallyandGardner,withthePersuasiveSystemDesign(PSD)model.
Theapplicationdomainisthepreventionofmetabolicsyndrome,inwhich5%
weightlosscansignificantlyreducetheprevalenceofthesyndrome.
Methods:Thisstudyemploysaweb-basedHBCSSnamedOnnikka,alifestyle
interventiondesignedforthepreventionofmetabolicsyndromeforparticipants
whoareatriskofdevelopingametabolicsyndromeorarealreadysufferingfrom
it.Thesystemunderinvestigationwasdesignedaccordingtotheprinciplesof
thePSDmodelandBehaviorChangeSupportSystemframework.Lallyand
Gardner’sresearchonthestagesofhabitformationwereusedtostudythe
extenttowhichtheOnnikkasystemwasabletoenhancethedevelopmentofnew
habits.Atotalof43Onnikkauserswereinterviewedforthisstudyduringand
aftera52-weekinterventionperiod.Theresearchapproachemployedherewas
hermeneutics,whichleansontologicallytowardthesocialconstructionofreality,
gainedthroughlanguage,consciousness,andsharedmeaning.Inaddition,the
system’slogindataandparticipants’weightmeasurementswereutilizedtobuild
aninterpretationoftheresults.
Results:ThefindingsofthisstudysuggestthatIThabitsappeartohaveastrong
linkagewithuseadherence,whereaslifestylehabitsdidnotseemtobedirectly
relatedtothe5%weightlossamongstudyparticipants.Moreover,habit
formationstagesprovideapossibleexplanationforwhyself-monitoring,
reminders,andtunnelingwereperceivedasespeciallyvaluablefeaturesinthis
study.
Conclusions:Forsustainableweightmanagement,holistice-health
interventionsarerequired,andthePSDmodeloffersapracticalapproachfor
designinganddevelopingthem.Recognizingthestagesofhabitformation
providesadditionalvaluableguidancefordesigningsystemsthathelpshapean
individual’shabits.
Keywords:BehaviorChangeSupportSystems;e-health;PersuasiveSystems
Design;Habitformation;IThabit;Interpretiveresearch.1
1 Introduction Obesityisagrowinghealthproblemworldwide,andisassociatedwith
numerouscomorbidhealthconditions[1].Themeanbodymassindex(BMI)as
wellasoverweighthaveincreasedgloballysince1980,andmostcountriesarein
needofnewpoliciesandinterventionsinthisregard[2,3].IntheUnitedStates,
themostcommonweight-lossstrategiesincludearestrictednumberofcalories,
areducedamountoffat,andanincreasedamountofexercise,whichapplyto
approximately50%ofweightlosers[4].Maintainingweightlossischallenging
[5],asachangeinphysicalactivityordietisnormallyinsufficienttomaintain
weightloss;amorecompletechangeinlifestyleappearstobenecessaryforthis
purpose[6].However,evenmoderateweightlosscansignificantlyreducethe
riskofhealthproblemslikecardiovasculardisease,andwitha5%reductionin
bodyweightthereisasignificantimprovementinglycemiccontrolfordiabetics
[7,8,9].
Severalstudieshavepresentedthepotentialofwebinformationsystems
supportingweightlossandweightmanagement[10,11,12,13,14].Accordingto
1Abbreviations:HBCSS:HealthBehaviorChangeSupportSystem;e-health:Deliveryofhealthservicesviaremotetelecommunications.Inthiscase,awebinformationsystem;PSDmodel:PersuasiveSystemsDesignmodel.
theInternationalTelecommunicationUnion’sstatistics[15],in2017,Internet
penetrationwasalreadyat48%oftheworld’spopulation.However,web-based
interventionsstillhaveonlyarelativelysmalleffectonhealthbehaviorona
globalscale[14],e.g.inKaipainenetal.’s[16]study,only25%ofindividualswho
registeredtotheinterventionwebsitereturnedtothefollow-upsurveys,and
thereforetheeffectoftheirinterventionispossiblyoverestimated.Overadecade
ago,Eysenbach[17]arguedthatthegreatestchallengewhendeveloping
comprehensivesystemsforhealthinformaticsisthesparseamountof
knowledgeregardinghowindividualsuse,process,andinteractwithhealth
information.Eventoday,Eysenbach’sclaimsappeartobevalid.
Brouweretal.[18]presentedhowalargevarietyofbehaviorchangetechniques
andstrategiesarebeingusedforvariouslifestylebehaviors.Oinas-Kukkonen
[19]maintainedthatdespiteusingbehavioraltheoriesindevelopinghealth
interventions,thesystemitselfisoftendescribedsopoorlythatitcanevenbe
consideredablackbox.Heproposedarelatedconcept,knownasBehavior
ChangeSupportSystems(BCSSs),highlighting“autogenousandvoluntary
approachesinwhichpeopleuseinformationtechnologiestochangetheirown
attitudesorbehaviorsthroughbuildingupontheirownmotivationorgoal.”[19,p.
1227].Agreatnumberofweightlossandweightmanagementapplicationshave
beenintroduced,bothinresearchandinpractice,butresearchreportingonuser
experiences,actualoutcomes,andhowthesetworelatetoeachothercontinues
tobescarce.Moreover,inmostcases,thesoftwarefeaturesofsuchapplications,
includingtheirpersuasivefeatures,havenotbeenthoroughlyreported.
Nevertheless,persuasivedesignisimportant,sinceithasbeenshowntoaffect
theadoptionofHBCSSs[20]andadherencetoit[21].AccordingtoSharpeetal.
[22],lackofuserengagementhindersthefullpotentialofdigitalweight
managementinterventions.
Theremainderofthearticleisstructuredinthefollowingmanner.Thesecond
sectiondescribesthemainideaunderlyingthePersuasiveSystemsDesign(PSD)
modelbyOinas-KukkonenandHarjumaa[23].Thethirdsectionconcentrateson
theactualweb-basedinterventionthatwascreatedfortheresearchproject
addressedinthisarticle.Thereafter,themethodologyusedinthisstudyandthe
habitstagesintroducedbyLallyandGardner[24]arediscussed.Themain
sectionsthenpresenttheresultsofthestudyathandandtheimplicationsof
theseresultsforbothresearchandpractice.
2 Persuasive Systems Design ModelOinas-Kukkonen[19]hasintroducedmultipletheoreticalframeworksthatcan
bedirectlyutilizedforconductingresearchontechnologicalbehavioralchange
interventions,andheprovidesreferencesto14distinctbehaviorchangerelated
modelsortheories.Inhisvision,thedesignofHBCSSsneedstoaddress
technologicalissues,thequalityofinformation,personalgoal-setting,andsocial
environments;HBCSSsoftenmustbealwaysavailableandtakeintoaccount
globalandculturalissueswithamultitudeofbeliefsandhabits;HBCSSdonot
merelycollectandtransforminformation,butsupporttheiruserstochangetheir
behaviorforthebetter;HBCSSaimtoinfluencetheirusersandthereforethey
arefundamentallypersuasive.Bydefinition,HBCSSdonotusedeceptionor
coerciontopersuadeitsusers[19].
ThePersuasiveSystemsDesign(PSD)modelintroducedbyOinas-Kukkonenand
Harjumaa[23]isoneofthecenterpiecesinthisresearchareaandhasbeenused
vastlyintheresearch[25,26,27,28].ThePSDmodel[23]suggests(1)asetof
sevenpostulatesregardingpersuasivesystems,(2)analysisoftheintent,event,
andstrategyofpersuasion,and(3)definespotentialsystemfeaturesforBCSSs:
(1) Oinas-Kukkonen[19]underlinesthatbeforeconsideringpersuasive
featuresoranalyzingthecontext,thedesignershouldobtainadeeper
understandingofpersuasiononapostulatelevel.Thesepostulatesare
notdetailedinstructions,rathertheyshouldbethoughtofasthemain
statementsofsystemdesign.Forexample,thepostulate“Persuasive
systemsshouldaimatbeingbothusefulandeasytouse”hasitsfoundation
onthedeterminantsoftheTechnologyAcceptanceModel(TAM)byDavis
[29].Ifasystemisdifficulttouseandisnotperceivedasuseful,itis
probablynotgoingtobepersuasiveeither.ThreeofthePSDmodel
postulatesarebasedonfindingsinpsychology.Forexample,thepostulate
“Directandindirectroutesarekeypersuasionstrategies”derivesfrom
PettyandCacioppo’s[30]ElaborationLikelihoodModel(ELM).The
postulatearguesthatauserwhocarefullyevaluatesthecontentofthe
persuasivemessagecanbeapproachedbythedirectroute,butauser
whoislessthoughtfulmaybepersuadedthroughtheindirectroute,
wheresimplecuesorstereotypescanbeuseful[23].
(2) ThenextelementinthePSDmodelistheanalysisofthepersuasion
context,whichconsistsofidentifyingtheintentofthepersuasion,
recognizingthepersuasionevent,anddecidingthepersuasionstrategy
[23].Inthisphase,adesignerneedstotakeintoaccountaspectslikeuser-
dependentfeatures,suchastheuser’sgoals,motivation,lifestyle,etc.
Further,sincenewtechnologieshavebecomeavailableatanincreasing
pace,therisksandopportunitiesneedtobeevaluatedthoroughly[19].
Theusecontextitselfholdsdomain-dependentfeatures.Inthehealth
domain,thisusuallyinvolveshealthcareprofessionalsinthedesign
processandcreatingcontentforthesystem.
(3) ThethirdmainelementinthePSDmodelarethe28designprinciples,
whicharedividedintofourcategories:theprimarytasksupport,
dialoguesupport,systemcredibilitysupport,andsocialsupport[23].The
primarytasksupportcategorycomprisespersuasivefeaturesthataim
toreflectusers’behaviorgoalsandtracktheirprogresstowardthem.For
example,empiricalstudieshavefoundself-monitoringtobeprominentin
changingphysicalactivityandeatingbehaviors[22,31].Thiscategory
alsoincludesessentialissues,suchasdisorientationinsystemuseand
reducingtheindividual’scognitiveload.Further,thetunnelingfeature
guidesusersthroughthechangeprocessandfocusesonthesequencein
whichtheinformationispresented.Thepersuasivefeaturesinthe
dialoguesupportcategoryarerelatedtouserfeedbackandhuman–
computerinteraction.Theseprinciplesaimtokeeptheuseractiveand
motivatedduringthesystem’suse.Severalarticleshaveillustratedthe
valueofremindersinincreasingtheeffectivenessofweb-basedhealth
interventions[14,21,32,33].Thecredibilitysupportcategoryhelpsto
creategreatercredibilityinthedesignand,thus,amorepersuasive
system.Anindividualshouldbeabletotrustthesystem,acceptitsadvice,
andbelievethattheywillbeguidedtothetargetedgoal[23].Thesocial
supportcategorymotivatesindividualsbyleveragingsocialinfluence.
Technologycansupporttheformationandmaintenanceofonline
relationships,whichinturncanfacilitatesocialsupport[34].
2.1 Case Onnikka: Web-based Health BCSS
ThecurrentstudyemploysaHBCSS,knownasOnnikka,whichwasdesignedin
thePreventionofMetabolicSyndrome(PrevMetSyn)lifestyleintervention
researchprojectforparticipantswhoareatriskofdevelopingametabolic
syndromeoralreadysufferingfromone.ThesystemwasdesignedattheOulu
Universityjointlybyresearchersofinternalmedicine,informationsystems,and
informatics,followingthedesignprinciplesofthePSDmodel[23]andBCSS
framework[19].Theoriginalarchitectureofthesystemhasbeendescribedin
Alahäiväläetal.[35]2.
Onnikkaisawebinformationsystemthatuserscanaccesswiththeirpersonal
credentialsforadurationofoneyear.Thetechnologicalimplementationof
Onnikkawasconductedusingtechnologiesthatuserscouldaccesswiththeir
desktopdevicesormobilephones.Throughoutthe52-weekinterventionperiod,
usersreceivedweeklyhealtharticlesandtasksrelatedtothetopic.The
informationcontentfollowedthecognitive-behavioralapproach[38].Theaim
wastosupportparticipantstocopewithdysfunctionalthoughtsthatwould
likelyinterferewiththeirbehavioralgoalsandtohelptheirself-efficacy
regardingweightmonitoring,eating,exercise,andweightloss.
ThefollowingkeypersuasivefeatureswereimplementedintheOnnikkasystem:Primarytasksupport:ThecoreprimarytaskfeatureoftheOnnikkasystem
wasself-monitoring.Participantscouldsubmitentriesregardingtheirweight,
2Researchfindingsrelatedtouserflowexperience[36]andusers’perceptionsregardingdifferentpersuasivefeatures[37]havebeenpublishedpreviouslyinthePrevMetSynresearchproject.
exercise,mood,andeatinghabits.Theymappedtheirweightchangesintabular
formorasagraph.Further,theycouldwritediaryentrieswith“smileys”to
expresstheiremotionsduringeveryinterventionweek.Theycouldalsomonitor
theirexercisebysubmittingentriesinwhichtheydescribedthetypeofexercise,
theamountofexercisedone,andthelevelofstrain.Participantscouldalsoadd
informationtoafooddiary,whichincludedentriesregardingthemealtype,
description,theeatingtime,andtheplace.Additionally,participantscouldreflect
theireatinghabitsbymarkingthemealas“unnecessary”or“proper”.The
contentofthesitefollowedthepersuasivefeatureofreduction.Onnikka
simplifiedacomplexbehaviorintoseparatethemes(nutrition,exercise,etc.),
therebyguidingparticipantstotargettheirbehaviorchangeactivitiestothe
mostrelevanttopics.Acloselyrelatedfeaturetoreductionistunneling,a
predeterminedsequenceofinformationprovide,whichdoesnotallowauserto
deviatefromthepathwhiletheuserisinatunnel.Hereitwasimplementedas
anunchangeablerhythmofprovidingweeklyinformationcontentandtasksin
whichsomeofusers’navigationaloptionswerenotmadeavailableatalltimes.
Participantscouldbrowsebackovertheirpreviousentries;however,new
contentwasnotaccessibleinadvance.Accordingtocognitive-behavioral
approach,individualneedstoprocessthechangeactively,whichrequires
sufficienttime.Inaddition,itwasnecessarytokeepthetimingofHBCSSsimilar
toallparticipants,sothattheinterventionwouldnotbetoodifferentforeach
individual.Moreover,participantscouldsubmittheirtaskanswerstothesystem.
Additionalcontentwastailoredtobevisibleonlytocertainindividualsbasedon
theirbehavioralprofiles,whowereinneedofcounselingoneatingbehavior.
ThisfeaturefollowstheprincipleoftailoringinthePSDmodel.Eatinghehavior
wasevaluatedusingtheThreeFactorEatingQuestionnaire(TFEQ-18,Karlsson
etal.[39]).Itassessesthreedimensionsofeatingbehavior:cognitiverestraint
(CR),uncontrolledeating(UE)andemotionaleating(EE).InTFEQ-18theresults
arecalculatedasapercentageofthehighestpossiblevalueanditisbetween0-
100%.Ifthescoreforuncontrolledeating(UE)oremotionaleating(EE)wasin
thehighesttertile,theparticipantwascategorizedasa“participantwith
problemsofeatingcontrol.”Thestudyparticipantswithhighestscoreswere
evenlyrandomizedinallcounsellinggroups.ThecontentoftailoredOnnikka
includedextraexercisesofrecognizinganddealingwithemotionsorrisk
situationsforeating.
Computer-humandialoguesupport:Followingtherecommendationsofthe
praisefeatureinthedialoguesupportcategory,persuasivemessageswere
conveyedintheweightsubmissionprocess.Followingthepersuasionprinciple
ofreminders,Onnikkasentweeklye-mailmessagestousersonMondays,andif
theyhadnotyetloggedintothesystemduringtheweek,anothermessagewas
sentonThursdays.Further,Onnikkasentweeklytipsforgoodeatingbehaviorto
thetailoredusergroup,followingtheprincipleofsuggestion.Thesystem’svisual
appearance,usingphotographsoflocalenvironmentsandpeoplewereselected
basedonthepersuasiveprincipleofliking.
Credibilitysupport:Thesystemprovidedexternallinks,fromwhichusers
couldverifyinformationandgainextraknowledge.Otherthanthis,the
persuasionprinciplesinthecredibilitysupportcategorywerepaidsomewhat
lessattentionto,astheparticipantswereratherfamiliarwiththeauthorities
behindthesystem(universityandhospitaldistricts).
Socialsupport:Socialsupportwasimplementedinthesystemasadiscussion
columnattachedtoeachweeklyhealthcontentfollowingtheprincipleofsocial
learning.Userscouldusepseudonymstoanonymouslysharetheirthoughts.The
homepageindicatedthetotalnumberofloggedparticipantsforthatintervention
week,whichfollowsthesocialfacilitationpersuasionfeature.
Primarytasksupport Dialoguesupport Socialsupport CredibilitysupportSelf-monitoring:Weightgraph,Fooddiary,Exercisediary,Mooddiary
Reminders:Weeklye-mailstologintothesystem,followedbyanotherremindertologiniftheuserhadnotloggedinbyThursday
Sociallearning:Discussionforum
Verifiability:Linkstoexternalsources
Reduction:Weeklycontentonseparatethemes
Praise:Encouragingtextualfeedbackaftersuccessfulweight-lossperformance
Socialfacilitation:Numberofloggedusersforthecurrentinterventionweekandthenumberofcommentsgivenshownonthefrontpage
Tunneling: Suggestions:
Unchangeablerhythmofweeklycontent,exercises,andtips
Tipsforgoodeatingbehaviorssenttothetailoredgroup
Tailoring:Additionale-mailmessages,informationcontent,andtailoredexercisesforthoseinneedofadviceoneatingbehavior
Liking:Visualappearanceofamodernwebapplication,usingphotographsoflocalenvironmentsandpeopleinthecontent
Table1.Persuasivefeaturesaddressedinthisstudy,followingtheguidelinesofOinas-Kukkonen[19]andOinas-KukkonenandHarjumaa[23].
3 Research Context and Data Collection PrevMetSynisarandomizedlifestyleinterventionstudy.Thestudyparticipants
wereFinnishcitizensfromtheNorthernOstrobothniahospitaldistrictarea.Both
maleandfemaleparticipantswereofworking-ageandwereeitherobeseor
overweight(BMI27–35).Allstudyparticipantsprovidedawritteninformed
consent.ThestudyhasbeenapprovedbytheEthicsCommitteeofthehospital
districtofNorthernOstrobothnia,Oulu,Finland(decisionnumber29/2012).The
studywasregisteredinClinicalTrials.govwiththeidentifierNCT01959763.
Atotalof532voluntaryparticipantswerescreenedandrandomizedto6groups:
groupcounselling(8times,2timesornone)withorwithoutthe52-weekHBCSS
support(usersofOnnikka).Thisstudyconcentratesonthe259usersofOnnikka,
whoweredividedintofivedifferentstartinggroupsbetweenMarch2013and
March2014forpracticalpurposes.Onnikkawasnotlinkedwithanyface-to-face
counselinganddidnotuseassistancefromhealthprofessionals.
Thequalitativedataforthisstudywascollectedfromthreesemi-structured
interviewcycles.ThefirstdatacollectioncyclewasmadebetweenJune5and7,
2013,when12individualsparticipatedintheinterviewsduringintervention
week12.Thesecondsetofinterviewswasconductedwithanother12
participantsbetweenNovember6and21,2013.Atthetimeoftheinterviews,
theseparticipantswereininterventionweeks25–27.Thethirdinterviewcycle
wasconductedbetweenSeptember22andOctober21,2014;thisgroup
contained20participants—4individualsfromeachofthe5differentstarting
groups.Inthisinterviewcycle,9participantswereinbetweenintervention
weeks30and52,andfor11participantstheaccesstothesystemhadalready
ended,rangingfrom2to27weekssincetheendoftheHBCSSintervention
period.Oneoftheindividualsendedhisparticipationduringtheresearch
project;therefore,theinterviewmaterialincludesresponsesof43Onnikkausers
insteadof44.
Thestrategyforchoosingtheintervieweeswastohaveawiderepresentationof
various“voices”[40].Beforetheinterviews,awidevarietyofactiveandnon-
activeusers(2–500,MED=61)wasidentifiedbasedonOnnikka’slogin
information.Simultaneously,thegoalwastokeepabalancebetweenfemales(n
=22)andmales(n=21);andwhetherornottheyhadgroupcounseling(2or8
times).Participants’agesrangedfrom22to61(M=47.1),theirbaselineBMI
rangedfrom27.2to34.8(M=30.5),andthetotalnumberofsystemlogins
rangedfrom2to500(MED=61).ForOnnikkausers,itwasrecommendedtolog
intothesystematleastonceaweektoreadthenewcontentthatwasprovided
byhealthprofessionals.Thesystem’suseadherencerangedfrom4%to100%
(M=62%;MED=71%)amongtheinterviewedparticipants.UtilizingOnnikka’s
useinformationmadeitpossibletoselectindividualswhowereatthefurthest
endsofthesystem-usecustoms.Forexample,participant42made1677entries
inthefooddiaryalone,butcontrarilyparticipant31hadahighadherencelevel
(94%)butrarelyusedthesystem’stools(atotalofjustfourentriesatthetimeof
conductingtheinterview).FollowingPatton’s[41]descriptions,thistypeof
samplingmethodisbestdescribedasmaximumvariation(heterogeneity)
sampling,wherethegoalistodescribeandcapturecentralthemesthatemerge
fromtheheterogeneity.
ThefollowingsevenguidelinesproposedbyMyersandNewman[40]were
appliedwhenconductingtheinterviews:
1)Situatingtheresearcherasanactor.Beforethebeginningoftheactual
interview,theresearcherexplainedtheprocedureoftheinterview,howthe
collecteddatawouldbeused,andexplainedhowtocontacthimafterwards.The
researcheremphasizedthathewasneitherahealthprofessionalnorinvolvedin
thesystem’scodingprocess,andthereforewasaneutralactorwithregardto
Onnikka.
2)Minimizesocialdissonance.Thepositioningoftheresearcherasaneutralactor
helpedtominimizesocialdissonance.Duringtheconversation,theinterviewer
sympathizedwiththelifesituationoftheparticipantandopenlymade
correspondingremarksconcerninghisownlife.InFinland,wheretheinterviews
wereconducted,societyisrelatively“flat,”sonoextrapreparatoryeffortwas
neededtominimizethesocialdissonancerelatedto,forexample,age,gender,or
socialstatus.
3)Representvarious“voices.”Thestrategyforselectingtheparticipantsforthe
interviewwastoobtainthesamenumberofmalesandfemalesfromallthree
counselinggroups.Theaimwasalsotohavethesamenumberofparticipants
whoobtainedtailoredinformationandthosewhodidnot.Beforetheinterview,
Onnikka’slogininformationwasusedtorecognizeagoodvarietyofbothactive
andnon-activeusers.Duringthelaststagesofthisresearchcase,separatetools
onparwithindividuals’BMImeasurementswereusedtoselectparticipantsfor
interviews.
4)Everyoneisaninterpreter.Thisstudyisaninterpretivecasestudy,anditholds
theideathattheworldissociallyconstructed.Interviewingisarareeventfor
participants,andcollectedresultsshouldbeconsideredasinterpretationsrather
thanindisputablefacts.
5)Useofmirroringinquestionsandanswers.Eventhoughsemi-structuredlistsof
questionswereprepared,mirroringwasusedduringthecourseofthe
interviews.Mirroringmeansconstructingasubsequentquestionorcomment
usingsubject’swordsandphrases,whichallowstofocusonthesubjects’world
view[40].Theorderofquestionsandtheirexactwordingcouldvaryaccording
tothethemesthattheparticipantwasdescribing.Moreover,iftheparticipant
hadnotusedcertaintools,orhe/shehaddifficultyrememberingthem,someof
thequestionswereomitted.
6)Flexibility.Participantswereencouragedtospeakspontaneously,andallof
thoseinterviewedweregivenallthetimetheyneededfortheinterview.The
durationofasingleinterviewvariedfrom25minutestoalmost2hours.
7)Confidentialityofdisclosure.Permissionwastakentorecordtheinterview
beforebeginningtheactualinterview.Toensureconfidentiality,onlyresearch
numberswereincludedintherecordingssothattheycouldbelinkedwiththe
system’suserdata.Thecodesinthisstudyaredifferentfromthenumbersstored
intherecordings.
3.1 Hermeneutic Research Thisstudyispartoftheinterpretivequalitativeresearchtradition,anditleans
heavilyonhermeneutics.Oneofthemaincharacteristicsofinterpretivismis
seeingrealityassociallyconstructed[42].Participants’answersduringan
interviewareinterpretationsoftheirinitialmotives,andresearchers’
conclusionsfromthecollectedmaterialareinterpretationsaswell,whichare
madeinacertainsituationalcontextorfromacertainstandpoint[43,44].Patton
[14]arguesthatthisperspectiveisfundamentalinqualitativeinquiryandhas
becomecommonplaceincontemporarysocialscience.
KleinandMyers[42]suggestasetofprinciplesforinterpretivefieldstudies,and
consideredthehermeneuticcirclethefundamentalprincipleofinterpretivism.
Typicallythisisseenasanoverallontologicalapproachforinterpretivestudies,
andthereareonlyamodestnumberofstudieswherehermeneuticalapproaches
havebeenappliedasaresearchmethodology,asSarkerandLee[45]argue
(Karppinenetal.[46]usehermeneuticstostudyanomaliesfornon-adoptionof
BCCS).Asaresearchmethod,hermeneuticsoriginatesfrominterpretingancient
texts,inwhichstrivingtodeterminethecorrectunderstandingofatextledto
therecognitionthatitispracticallyimpossibleforhumanstoretrievea“true”
100%representationofatext[44].Subsequently,hermeneuticshasbeen
portrayedasthetheoryoftheinterpretationofmeaning[47,48].Accordingto
theprinciplesofthehermeneuticcircle,thedevelopmentofaninterpretationis
aniterativeprocess,wheretheunderstandingofthewholeoccursthroughthe
meaningoftheseparateparts,andthemeaningofseparatepartsisdetermined
bythewhole[41,42,45].Suchaninterpretationdoesnotassignequal
significancetoeachwordora“randomsample”ofwords[45].Yet,hermeneutic
interpretationisnotintendedtoreplacepositivistqualitativeresearchbutrather
strengthenandcomplementit(seee.g.[49]).Previously,TrauthandJessup[50]
demonstratedhowinterpretiveanalysisiscapableofproducingnewinformation
thatcouldnotbefoundthroughpositivistapproachesandnovelunderstanding
ofevidenceevenfromdatathatwasalreadyanalyzed.
Hermeneuticsisavaluabletoolforinterpretingqualitativedata[45]becauseit
makesuseofanomaliestogainabetterunderstandingoftheinformationina
particularcontext[47,50].Itisfairlycommoninhermeneuticresearchtradition
thatthemesandcategorieschangeduringiterations,andresearchersmaycollect
moredatabetweenthecircles[45].Whenallnewlygainedknowledgeisrelative
topriorunderstanding,aresearcher’spre-understandingisthestartingpointfor
ahermeneuticstudy,andthusitalsoprovidestheinitialinterpretiveframework
[47].AsColeandAvison[47]outline,aresearcher’sprejudicesarethebasisof
theresearchprocess.Inthisresearchcase,thethreemostessentialelements
concerningpre-understandingweretheBCSSframework[19],thePSDmodel
[23],andtheactualsystemitself(introducedintheprevioussections).Theories
wereusedaslensestoexplaindataratherthantoverifythetheoriesthemselves
orbuildnewones.
Hermeneuticsdoesnotofferexplicitguidelinesonhowtoconducttheactual
dataanalysis.Certainresearchersuseanalysisproceduresfromother
methodologies,suchasopencodingfromgroundedtheory[51]ordiscourse
analysis[52].Thisstudydoesnotfollowanyspecificmethodologicalschool;
instead,thegeneralprinciplesofcodingandindexingwereutilized,which,as
statedbyMilesandHuberman[53],arethemostcommonpracticeinqualitative
dataanalysis.Alltheinterviewswereconductedviaphone,recorded,and
transcribed.NVivo10softwarewasusedtomanagecodesandcategories,but
noneoftheautomatedclassificationtoolswereutilized.Dataanalysiswas
conductedbythefirstauthor;however,inhermeneutics,itisnotuncommonthat
onlyoneauthordoestheanalysis(e.g.[47]).Itwasconsideredthatthesame
authorwhointerviewedparticipantshasthebestunderstandingoftranscribed
texts.Abilitytorecognizetonesandothersubtlevocalcueswereperceived
important.Firstandsecondauthorhadreflectionmeetingsthroughoutthe
processofdatagathering,analysingthedata,andhowthesynthesisofthe
findingswasmade.Especiallyafteranomalousfindingsfromthefirstinterviews,
discussionswithsecondauthorhelpedtoevaluatethedecisiontrail.
Duringthisresearchcase,interviewswereconductedinthreehermeneutic
circles,andinterviewswerebasedonanevolvingsetof(primarily)semi-
structuredquestions.Thethemesofthequestionsvariedfromtechnology
acceptancetoflowexperience,andfrompersuasivesystemfeaturestochanges
inattitudesandbehaviors.Sincethequestionswerepreparedinadvance,avast
majorityofthecodeswerecreatedpriortotheinterviews.AsMilesand
Huberman[53,p.65]argue,itiswiseforaqualitativeresearchertocreatecodes
moreinductivelyandanalyzecollecteddataforempiricallydrivenlabels.As
Stahl[44]haveargued,hermeneutics(asemphasizingunderstanding)issuited
tothosesocialsituationsthataimtounderstandhumanactivities,nottopredict
them.
Onnikkawasnotdevelopedwiththehabitformationframeworkinmind,asthe
primaryaimofthesystemwastosupportparticipants’attitudechange.Yet,
basedontheexperiencefromthefirsthermeneuticcycle,itappearedthathabits
couldplayaroleinHBCSSuseandintheactualbehaviorchangeprocess.Inthe
followingexample,theroleofhabitisratherevident.Sectionsthatwerelabeled
with“habit”codesareunderlined,andcommentsinthebracketsrepresentthe
interviewer’sinterpretations.
Interviewer:HasOnnikkabeenhelpfultoyouwhenmaking
changestoyourlifestyle?
Participant11.Yes,ithas.EverytimeIgrabaproduct[ina
grocerystore],Istarttothinkiftheneedforitisreal,orisit
moreofahabit.Ithinkit[Onnikka]isagoodtoolforthat.And
alsowhenIgotothefridge.Whenit’s[lifestylechange]inthe
backofmyheadsomehow,itmakesmethink,whattochooseand
whatnot.
Interviewer:HaveyoulearntnewthingsbyusingOnnikka?
Participant11:Yes,Ihave.Itgivesmemoreunderstanding.Like
ifIcontinuelikethis,wherewillitleadme?Andkindofalsohow
healthandeatingareconnected.Ithasbeenveryuseful.When
I’vegottenusedtoacertainrhythmorpattern,Ihaven’thadto
thinkfurther.I’vebeenabletojustletitgoandlivemylife.
Interviewer:DoesOnnikkachallengeyouenough?
Participant11:Yes,itdoesquitesufficiently.It’snotstagnantall
thetime,anditgivesnewperspectiveswhenthinkingabout
personalgoals.Whenforinstancethetopicwasexercise,itdid
helpmebecomemoreactive.Nowit’smoreorlessahabitthatI
justgo[toexercise].Whenexerciseisincluded,it’sagood
reminderthatit’stimetobeactive.
Twohabit-relatedquestionswereaddedforthesecondandthirdhermeneutic
circles:first,participantswereaskediftheyfeltthattheiruseofOnnikkahad
becomeahabit;andsecond,participantswereaskedwhethertheystillhadto
strugglewiththeirlifestylechangeorwhetherthenewbehaviorshadbecomea
habit.
Previousstudies(e.g.,Karppinenetal.[37])havehighlightedtheimportanceof
threepersuasivefeaturesforusersofOnnikka:self-monitoring,reminders,and
tunneling.Moreover,newweeklycontentwasperceivedasaveryinfluential
partofOnnikkabymanyoftheparticipants.However,ithasremainedunclear
whythesespecificfeatureswereperceivedsohighlyamongsystemusers.
4 Stages of Habit Formation Creatingahabitplaysanimportantroleinhealthbehaviorchange,asmany
healthgoalsarereachedonlybyrepeatedaction.Habitsareconsideredtoplaya
fundamentalroleinbehavior,andtheformationofhealthyhabitsmaybethekey
toaidmaintenancebeyondtheinterventionperiod[54].Althoughhabitsare
knowntoaffectbehavior,promotinghabitformationisarelativelynovel
researchareainthehealthpsychologyfield(24,54].
Inpsychology,habitsareconceptualizedasbehavioralpatternsenacted
automaticallyinthecontextinwhichthebehaviorhasbeenconsistently
repeatedbefore[24,55,56].Gardner[54]determinesahabit“asaprocessby
whichastimulusautomaticallygeneratesanimpulsetowardsaction,basedon
learnedstimulus-responseassociations.”Gardner[54,p.4]considersahabittobe
animpulsivepathway,wherecontext-behaviorassociationsrapidlyand
efficientlypromptbehaviorwithminimalforethought.Onareflectivepathway
arereasonedcognitions,whichdirectbehaviorslowlywithdeliberateeffort[54].
LallyandGardner[24]suggestfourstagestoachieveautomaticity.They
considerahabitasacontinuum,whereautomaticityisconsideredastrength
ratherthanadichotomy(havingornothavingahabit).Nevertheless,distinctive
stagesofferausefulconceptualizationfromapracticalperspective.Accordingto
LallyandGardner[24],forabehaviortochange,adecisiontotakeactionmust
firstbemade.Second,theintentiontoacthastobetranslatedintobehavior.
Third,thebehaviormustberepeatedinthepresenceofthesamecontextualcues
toformahabit.Afterhabitstrengthpeaks,repetitionhaslittleimpactonhabits
[57]and,consequently,thefourthstagepertainsexclusivelytohabitformation.
Thenewactionmustberepeatedinafashionthatisconducivetothe
developmentofautomaticity,whichincludescreatingsalientcuesforthe
activity,emphasisonconsistency,reducingbehavioralcomplexity,andavoiding
extrinsicrewardsthathavethepotentialtohinderthehabit-formationprocess
[24].
Inadditiontoformanewhabit,breakingoldhabitsareimportant.Despitebeing
motivatedtoperformanewbehavior,whenanopportunityarises,many
individualsactaccordingtotheiroldhabits[24,56].Itispossibleforhabitual
behaviorstobeautomatic,yetinfrequent[54],andthese“implicithabits”offer
oneexplanationforwhybehavioralinterventionstypicallyyieldshort-term
gains,whicharelikelytoerodeasoldbehaviorsre-emerge[54,58].
5 Results Inthissection,wefirstdescribehowtheresponsesofindividualsinthisstudy
mapwithLallyandGardner’s[54]habitformationstages.Second,wesummarize
howtheindividualsperceivedtheformationofHBCSSusehabitandbehavior
changehabit.
5.1 Intention Formation Stage Participatinginthisresearchprojectwasvoluntaryandfreeofcost.Atotalof
12,500invitationlettersweresenttoFinnishcitizensintheNorthern
Ostrobothniahospitaldistrictarea.Committingtobepartofaresearchproject
withitsbaselinemeasurementswassuchathresholdformanyparticipantsthat
intentionformationwasnotacriticalelementwhenparticipantsobtainedaccess
touseOnnikka.Ingeneral,participantshadhighmotivationtoachievealifestyle
changewhentheybegantousethesystem.Forsomeparticipants,eventhe
thoughtofbeingpartofthelifestyleinterventionstudywashighlymotivating,as
thefollowingquotationreveals.
P36:“Invitationletterhelpedalot.Gettingintothiskindof[research
project]islikewinninginthelottery.”
Thepsychologicalpredictorsofintentionformationhavebeenthefocusof
severaltheories[e.g.,59,60,61],buttheyarenotemphasizedinthisstudy.
5.2 Translating Intention into Action Stage Decisionsaresignificantpredictorsoftheinitiationofbehavior,but“intention-
translation”isnotalwaysperfect.Sheeran’s[62]reviewrevealedthatamong
thosewhointendedtoengageinacertainbehavior,theaveragerateof
performancewasmerely47%.Thisgapcanbepartiallyexplainedbylost
motivationtoperformthebehavior[24].ThedurationofOnnikkaisunusually
long,asnewcontentandtasksareprovidedbyhealthprofessionalseveryweek
foratotalof52weeks.For3participantsoutof43,the“intention-behaviorgap”
wascausedbyalossofthemotivationtoperformtheaimedbehaviorquitesoon
aftertheyhadbegunusingOnnikka.Theyallexperiencednotfeelingtheneedto
useOnnikkaafterall,asseenfromthefollowingquotation:
P34:“Ibarelygotacceptedtothisresearchprojecttobeginwith.WhenI
attendedagroupmeeting,IrealizedthatIdidn’thaveaweightproblem
[whencomparedtoothers],anditreallykilledmymotivationtouse
Onnikka.”
AccordingtoLallyandGardner[24],volitional(or“post-intentional”)factorsare
thesecondclassofreasonsthatcanexplainwhypeoplefailtoactontheir
intentions.Thesefactorsarerelatedtotheabilitytoputplansintoactionand
rememberingthem[24].Mosteffectivecuestoactonaplanaredistinctevents
indailylifethatarebarelymissed.Self-monitoringcanalsobeparticularly
meaningfulinrequiringreliableevaluationsofcurrentbehavior,sothat
differencesbetweencurrentactivitiesanddesiredbehaviorcanbeperceived
[24].Arepresentativeexampleshowshowparticipant01begantomeasurehis
weightfirstthinginthemorning:
P01:Beforethis,Ihadn’treallybeenonthescaleinthemorning,butnowI
weighmyselfatleastonceaweek,usuallymorethanonce,andwhatis
greatisthatit[Onnikka]drawsthatgraphsoit’sverynicetoseeitgoing
downwards.Ofcourse,itsometimesgoesflatandevenupwards,butstillit
hasbeendroppingdownthewholetimeafterIstartedusingit.It’sbeen
greattofollowit.
SupportisofferedtoHBCSSusersbyenablingthemtokeepupwiththeir
lifestylechangebyprovidingthemreminders.EvenmostOnnikkauserswho
werenotactiveusersperceivedremindersasapositivefeature:
P25:“There’sbeenquiteabitofeverythinggoingoninmylife,andtheweb
systemhasbeenputonthesideforawhile.It’sinthebackofmymind
anyway,andbecausethesystemremindsme,Iatleastreadthecontent
everyweek.WiththehelpofOnnikkaIgetself-control,andIcanwalkaway
fromtoughsituations.”
Whenlosingweight,knowinghowtodealwithasocialsituationinwhichhigh-
caloriefoodsareofferedcanbeextremelydifficult.AccordingtoLallyand
Gardner[24],bothaction-planningandcoping-planninghavebeenconfirmedto
assistbehaviorchangewhenusedindependentlyorincombination.Participants
diddescribetheirplanstochangetheirlifestyles;however,somewhat
surprisingly,participantsgaveonlyafewconcreteexamplesofhowspecifically
Onnikkahadsupportedtheirplanning.
5.3 Repetition Repetitionoftenrequirescontinuedintrinsicmotivationandthesupportofself-
regulatorytechniques[24,31,63].Inaddition,goal-directedactionsthat
generatepositiveemotionscanstrengthencommitmenttochange(Louroetal.
2007),andself-monitoringcanbeonetooltorecognizeanticipatedoutcomes
[24].Duringtheearlystagesofbehaviorchange,actionsthatgiverisetopositive
emotionscanincreaseeffort,whereasthosepromptingnegativeeffectsaremost
likelydiscontinued[24,57,64].Asbehaviorsarerepeatedandautomaticity
beginsemerging,theinitiationofabehaviorrequireslessereffortand,therefore,
participants’satisfactionmaybestrengthenedbyfocusingontheeaseof
performance[65].TheOnnikkasystemitselfwasperceivedaseasytouse.Nota
singleinterviewedparticipantsaidthatthesystemwastoodifficulttouse.In
addition,Sharpeetal.[22]foundthateaseofusewasanimportantfacilitatorof
enhancedengagement.
Duringthelongspanoftheintervention,manyparticipantswerefacedwiththe
situationinwhichtheirweightlosshadstalled.Therewereevenafewuserswho
seemedtobediscouragedbythemonitoringofweightafterasetback.The
followingquoteisagoodexampleofhowpositiveoutcomescanenhance
behaviorchange,andhowunexpectedobstaclescanturnintoadownward
spiral.
P39:I’vealwaysbeenphysicallyactive,butthistimeIalsochangedmydiet.
Followingtheweightcurvewasverymotivating,andinthespringIalmost
achievedmyweighttarget,from96to80kilos.Ihadamedicalissueduring
thesummerandcouldn’texerciseregularly.Paradoxically,Iatemore
despitethefactthatIdidn’tconsumeenergynearlyasmuch.SoIgained
moreweight,andIhaven’tgonetothescalesince.ButnowthatIcan
exerciseagain,andIknowhowtokeeptheweightundercontrol,Ibelieve
I’llsucceed.
Incaseoffacingasetback,onemethodtohelprepetition,accordingtoLallyand
Gardner[24]istheabilitytoswitchfocustodifferentdomainsofsuccesswhen
needed.Participant38hadhighself-esteemandwasveryoptimisticdespitethe
factthatshehadnotlostweightinayear.
P38:Ihadn’tlostweightwhenIhadmyone-yearmeasurement.Butmy
waisthasgonesmallerandmycholesterollevelsaremuchbetter.Mynew
habitistoeatmorefrequently,afterevery3hours.ButIstillneedto
restrainmyself;mybiggesturgeisforsugar.
Afternewbehaviorhasbeeninitiated,self-monitoringcanmakethecompliance
withbehavioralgoalseasier[24].Monitoringcansupportcontextualstabilityto
ensurethatindividualsareperformingthebehaviorinthesamewayoneach
occasion,whichinturnhelpshabitformation[24].Forseveralparticipants,it
wasparticularlydifficulttoprogresswithweightmanagementintheholiday
season.
P31:Ifeltthatmywillpowerwascrackingduringthesummer.Ithinkmy
biggestachievementsofarwasthatIsurvivedthroughit.EverytimeI
noticedthatmyweightstartedtorise,Ilightenedupmydiet.IfIatetoo
muchduringtheweekends,Itookmyselfbackontrackimmediatelythe
nextweek.
Thebenefitsofself-monitoringcanbeenhancedbyprovidingfeedbackon
performance,whichcankeeppeoplemotivatedduringtheacquisitionphase[24
31].TheOnnikkasystemgavepositivesupportivefeedbackwheneverthe
individualsubmittedhis/herweightinthesystem.However,thispraisefeature
wasrarelymentionedbytheintervieweesifnotspecificallyrequested,andits
meaningseemedrathertrivialforthem.
Positivereinforcementcanalsobepromotedbyexternalfeedbackbyhaving
otherscommentonperformance[24].ParticipantsinOnnikkacouldmake
commentsonweeklythemesandwereabletosharetheirthoughtsanonymously
usingpseudonyms.Unfortunately,thisfeaturewasusedbytheparticipantsso
scarcelythatitbarelycreatedanysenseofsocialsupportamongthe
participants.Fiveparticipantsperceivedlackofsocialsupportasoneofthekey
reasonsfornotusingthesystemthroughouttheentireinterventionperiod.
LallyandGardner[24]arguethatpeoplewhoareengagedinbehaviorchange
shouldbeprovidedwithsupporttoachieveself-directedchangesratherthanto
followexternalinstructions.Supportforcompetenceandautonomyare
hypothesizedtointeractwitheachother,therebymakingbehaviorbebetter
internalized[66].Inthecurrentresearchcase,participantswereawareofthe
importanceofgainingcompetenceandautonomyingeneral;nevertheless,our
dataholdsanswersthataresomewhatcontradictory.InOnnikka,therewasa
sectionforfrequentlyaskedquestions,butdespitethepossibilityofreceiving
informationdirectlyfromhealthcareprofessionals,someuserswere
disappointedthattheirrecordingsinthesystemwerenotmonitoredand
commentedonbyexperts.Infact,thecommitmenttousethesystemas
instructedwasoftenmentionedinpositivelightduringtheinterviews,andfour
participantsstatedthatcommitmentwastheirprimaryreasonforusingthe
system.
5.4 Automaticity LallyandGardner[24]notethat,traditionally,ithasbeenassumedthatif
performanceishighlyrewarding,thelikelihoodthatabehaviorisrepeatedis
high[67],andhabitsdeveloponlyifrewardsarereceivedforeachrepetition.
Conversely,recentstudieshaveshownthatprovidingnotableandtangible
rewardsforbehaviorcanundermineintrinsicmotivation,andextrinsicrewards
enhancehabitformationonlywhentheydonotbecomethegoalofbehavior[24,
68].ParticipantsinthePrevMetSynresearchprojectdidnotgetanyrewardsfor
participating.Almostallinterviewedparticipantsdidnotreporthavingany
extrinsicrewardsoftheirowntohonortheirweightlosseither,andthosewho
did,hadmoderaterewards(e.g.,glassofwine,smaller-sizetrousers,sport
equipment).
LallyandGardner[24]emphasizethatsimpleactivitiesareeasiertoautomate
thancomplexbehaviors.Intheflowofeverydayroutines,behaviorsareoften
linkedtogetherin“chunked”sequences,sothatthecompletionofoneactivity
cuesthenext[29].SeveralOnnikkauserswereunabletofindspacefortheuseof
HBCSSintheirflowofdailyactivities:
P24:“Ihaveathree-shiftjob,I’masinglemother,andIhavealotof
hobbies.I’maverydiligentperson,soifIforgettouseOnnikka,Ifeel
miserable.SometimesIpanicwhenIrealizehowquicklytheweekhas
gone.”
Individualshadtheentireweektoreadtheweeklycontentandsubmittheirself-
monitoringentries,andthereforethesystemwasnotbelievedtobetootime
consuming.Surprisingly,alackoftimetoutilizethesystemtothefullwasa
rathercommonargumentfornotusingOnnikka,andsixparticipantsindicated
thatthiswasthemainreasonthattheydidnotusethesystem.Paradoxically,
respondentswerenotcriticizingOnnikka’sunchangeablerhythm,whichfollows
theprincipleofpersuasivefeaturetunneling;rather,theyperceivedtunnelingas
avaluablesystemfeature.
P02:“Theinvitationtopartakeinthisresearchcameataveryopportune
momentbecauseIknewthattherisksofgettingsickwerehigh.Mylifeis
reallyhectic,soI’mabletoconcentrateonthissincethere’sthisscheduling.
NowI’mdoingthethingsthatIshouldhavedonemuchearlier.Appointed
meetings,oransweringthequestions[inOnnikka]makesiteasiertofocus
onthings.--IlogintoOnnikkacoupleoftimesaweek.Icheckmyweight
weeklyandwritemythoughtsthere.AndIalsomarkmyexercisethere.--
Thesurestwaytosucceedwouldbenothavinganysociallife…livingina
bubble.Thetrickishowtocopewiththeexceptionsandmakingyour
lifestylechangeongoing.”
LallyandGardner[24]discusswhethertheroleoftheuninterrupted
performanceofbehaviorisanecessaryconditionforhabitformation.Armitage’s
[70]studyshowedhowexercisehabitsdevelopovera12-weekperiod,andit
wasfoundthatlapsesinperformingthebehaviorpredictedpoorerfuture
performance.Lallyetal.[57]foundthatonemissedopportunitydidnothavean
impactonhabitformation.Inourresearchcase,onlyparticipant31identified
interruptedperformanceasareasonfornotcontinuingtousethesystem.Itmay
alsobethatuninterruptedperformancedidnothaveasignificantimpactinsuch
alonginterventionperiod.InOnnikka’slong52-weekICTinterventionperiod,
therewereonlyafewparticipantswhousedthesystemeveryweekthroughout
theyear,andoccasionalbreakswerenotperceivedascritical.
5.5 Breaking Unwanted Habits Onnikkaenabledindividualstobreaktheiroldhabitsbyhelpingthemtoraise
awarenessoftheireverydaychoicesandeventuallybuildhealthierhabits
throughrepetition.LallyandGardner[24]arguethatanappealingsolutionto
breakoldhabitsistoremovetheindividualfromanyenvironmentthatcues
unwantedhabitualresponses.Inaddition,remindersintheenvironmentarea
usefultooltohelppeopleremembertheirplans,ifplacedappropriately[71].
AmongOnnikkausers,onlyafewmentionedplacingremindersintheir
environment:
P32:“Onnikkaisaveryimportantreminderandsupporter.Ihavethree
kids,sowhenthey’vegonetobed,havinglatenightsnackswhilewatching
TVhasbeenmywaytorelax.NowIputaglassofwateronthesofa’s
armresttoremindmeofmybehaviorchangeproject.”
However,eventually,ratherthantryingtoforeveravoidcuesthattrigger
unwantedhabits,newalternativeresponsesareneeded[24,72].Vigilant
monitoringoffersaneffectivewaytoinhibitunwantedhabitsbypaying
attentiontopotentialslipups,whichinvolvesthe“don’tdoit”thoughtprocess
[45,62].Self-monitoringwasoftenperceivedasaneffectivewaytoinhibit
unwantedhabitsamongOnnikkausers.
P42:Asapensioner,IhadplentyoftimetouseOnnikka,andItypedwhatI
ateeverydayforawholeyear.IfIhadtoaddachocolatebarthere,I
couldn’tlookmyselfinthemirror.
5.6 Experiences of HBCSS Use Habits and Lifestyle Habits Forthelastphaseofthisstudy,theweightresultsforthetwelfthmonthwere
collected,andOnnikka’susedatafortheentireinterventionperiodwere
collected.Thepossibilityofusingweightinformationandsystemuseactivity
servedasnewlensesofinterpretation.Onnikkauserswererecommendedtolog
intothesystematleastonceaweektoreadtheprovidedcontent.InFigure1,
participantswith100%adherenceloggedintothesystematleastonceaweek
throughouttheentire52-weekinterventionperiod.Figure1presentsdetailson
theparticipantsinterviewedinthesecondandthirdinterviewcircles(total31).
Figure1.Responsestohabitformationfromthesecondandthirdinterviewcycles
Whenselectingtheparticipantsforinterviews,theaimwastofindthesame
numberofactiveandinactiveusers.Therefore,itmustbenotedthatthecoloring
ofuseadherenceinFigure1doesnotpresentathresholdfoundintheliterature,
wherethesystemusewouldhavebeenfoundtobeparticularlybeneficial.The
system’suseadherencerangedfrom4%to100%(M=62%;MED=71%)among
theinterviewedparticipants.Atotalof15respondentshadlessthan50%system
useadherence,fromwhichallbutoneparticipantsaidthatusingOnnikkanever
becameahabit.Individualswhohadover50%adherenceclaimedalmostthe
exactopposite:11participantsoutof16claimedthatusingOnnikkawasmoreor
lessahabitforthem.
Theanswersrelatedtobehaviorchangeasanewlifestylehabitweresurprising.
Fromamongninerespondentsthatmanagedtolose5%oftheirweightinayear,
onlyfourstatedthattheirnewlifestylewasanautomatedhabitatthetimeofthe
interview.Naturally,intheseanswers,ithastobetakenintoaccountthatforthe
mostpart,theinterviewswereconductedindifferenttimeperiods,and—for
exampleintheinterventionweeks25–27—participantsgenerallyseemedtostill
bestrugglingwiththeirlifestylechange.Anotherunexpectedfoundingisthat10
participantsexpressedthattheyreachedautomaticityregardingnewlifestylesat
thetimeoftheinterviewsbutwerenotabletolose5%oftheirweightattheir
12thmonthmeasurements.
6 Discussion Self-monitoringtools,remindersandtunnelingappearedtooffersupportto
committotheintervention.LallyandGardner’s[24]stagesofhabitformation
wereusedtocategorizethefindingsofthisstudy.AsevidentfromLallyand
Gardner’s[24]habitformationmethods,self-monitoringandremindersworkin
multiplestages.Thismightbeoneexplanationforwhyself-monitoringand
reminderswereperceivedasrathervaluableinthisresearchcase,andwhy
empiricalstudieshavefoundthemtoplayaprominentroleinchangingphysical
activityandeatingbehaviors[31].Interventionsnotincludingself-monitoring
havebeenfoundtobesignificantlylesseffectivethaninterventionswith
monitoring[31].Textmessageshavebeenfoundtoincreasephysicalactivity
whencomparedtocontrolgroupswhodidnotreceivereminders[73].Itmustbe
notedthatinourstudy,remindersandtunnelingwerevaluedalsoby
interviewedparticipantswhowerenotabletoachieve5%weightlossafterthe
interventionperiod[37].Moreover,newweeklycontentwasperceivedasavery
influentialpartofOnnikkabymanyoftherespondents.Theprovisionof
frequentupdatesisimportant,afindingthatisalsosupportedbythereviewsof
Brouweretal.[18]andKeldersetal.[21].Eventhoughnotaseparatepersuasive
softwarefeature,“frequentupdates”arerelatedtothefourthdesignpostulateof
thePSDmodel[23],namelythat“persuasionisoftenincremental.”
OurresultsimplythatsystemuseadherenceandHBCSSusehabitsarerelated;
however,perceivedlifestylehabitsdidnotappeartocompletelyresonatewith
theactual5%weightlossamongparticipants.Formanyrespondents,anew
lifestyleimpliedabehaviorchangeinoneparticulararea;forexample,
participants37and43statedthattheyselecthealthyfoodingredientswithout
beingconsciousofitanymore,participants29and33statedthatexercisinghas
evolvedtothelevelofautomaticityforthem,andparticipants34and36said
theireatinghabitsarenowhealthy(smallerportionsandregulareatingtimesto
avoidbingeeating).AccordingtoLallyandGardner[24],performingmultiple
behaviorsinresponsetoonecuecandiminishthepossibilitiesthatanyresponse
willbecomehabitual[74].Ifmanybehaviorscanbeusedtoachieveagoal,the
associationbetweenthegoalandanyonebehaviorisreduced[24].Withthe
Onnikkasystem,usersalsoexperiencedtheoppositeprobleminthatone
behaviorwasoftennotsufficienttoachieveagoal,butmultiplebehaviorswere
requiredtodoso.Thiscanbeoneexplanationforwhyparticipants’perceived
lifestylehabitsdidnotappeartoresonatewiththeiractual5%weightloss.The
reportedautomaticityoftenconcernedonlyoneareaoutofmanythatwould
haverequiredweightmanagement.HBCSSsdesignedtoachieveacomplete
lifestylechangecouldhelpitsuserstoswitchtheirfocustodifferentareaswhen
needed.
Onnikkadidnotoffermuchsocialsupport,whichclearlyinfluencedtheuser
experienceforsomeparticipantsdirectly.Maheretal.[75]discoveredthat
health-focusedonlinesocialnetworkscanbeeffective,butapproximately50%
ormoreofuserswhosignupdonotremainfortheentiredurationofthe
intervention,andengagementisgenerallylowforthosewhodostay.Maheretal.
[75]speculatesthatadrawbackofhealth-focusedonlinesocialnetworksisthat
theyattractmotivatedindividualswhowerealreadymotivatedtochangetheir
healthbehavior.Sharpeetal.[22]arguethatthetypeofsocialsupportmaydiffer
dependingonusercharacteristics.OurresultsseemtoagreewithLehtoetal.
[32]andKrukowskietal.[76],whoindicatethatinonlinecommunities,peer
supportgainsimportanceinthemaintenancephase.Ittakestimefornewusers
todevelopanaffectivecommitmenttothecommunity[32],anditisunfortunate
thatusersarenotabletogarnersocialsupportwhentheyareinneedofit.
6.1 Implications for Practice Accordingtoourresults,inadditiontoself-monitoringandreminders,tunneling
isalsoaveryinfluentialHBCSSfeatureandshouldnotbeoverlookedwhen
designinge-healthinterventions.Thisisannoteworthyfindingespeciallysince
intheiranalysisofwidelyusedweight-losswebsitesLehtoandOinas-Kukkonen
[77]foundthattunnelinghadnotbeenutilized.
Participantsencouragedtoperformahealth-promotingbehaviorregularlyin
unvaryingcontextswereshowntohaveanincreasedhabit-relatedautomaticity
[57,65].Ourresultsshowhowchallengesineverydaylifeoftenareapartofthe
reasone-healthusersdonothavethecapacitytoparticipatefullyinthebehavior
changeprocess.Therefore,e-healthdesignersshouldnotonlyfocusonthe
repetitionofabehavior,butalsoprovideameanstosettletheactualusecontext.
LallyandGardner[24]underlinethatsimpleactivitiesareeasiertoautomate
thancomplexbehaviors.Itischallengingtoachieveacomprehensivelifestyle
change,andLallyandGardner[24]suggestlargetaskboundariesasthebest
pointtoinsertanewhabit;however,taskcompletionneedstohaveasalientcue
toincreasethechanceofanewplannedbehaviortobeperformed[71].People
makethemostactionslipsattheinterfacebetweentheendofonebehaviorand
theinitiationofanother,presumablybecausethelinktothenextactionisnot
strong[24].AfewstudieshavebeenconductedtoexaminetheKairos-moment
persuasionoftheuseratthebestpossiblemoment(e.g.[78]).Ourresults
underlinethatthequestionofrecognizingthebestmomentforpersuasion
meritsfurtherstudy.Inthefuture,HBCSScouldidentifyaperson’sidletime,
suggesthealthyactivity,andcreateasalientcuefortheformationofthisnew
habit.Withthehelpofsmartphones,HBCSScanalreadysupportaspectslike
copingwithfoodcravingsatthemomentofneed.Itappearsratherevidentthat
modernHBCSSsshouldbedesignedfirsttobemobile-friendly.Anotherquestion
iswhetheritisreasonabletobuilddifferentapplicationsfordifferentmobile
platformsortodevelopweb-basedinterventionsthatcanbeusedwithall
devices.
Table2summarizesthekeymethodsofhabitformationfollowingLallyand
Gardner’s[24]study;thesearealignedwithOinas-KukkonenandHarjumaa’s
[23]PSDmodelconcepts.Thetableisanattempttofindcossespondingelement
fromthePSDmodel,withwhatcertainhabitstagecouldbeachievedintheLally
andGardner’s[24]framework.ThePSDmodel[24]includeskeyelementsof
habitformation,anditcanbeausefuldesignaidtoenhancetheautomaticityofa
behavior,eventhoughitisnotaimedathabitformationperse.
Stages of habit formation, subcategories (Intention formation not included)
Corresponding construct in the PSD model
Translation of intention into action (only volitional/post-intentional categories included in the table) Remembering intended action Action and coping planning Rehearsal (F) Reminders and cues for the enactment of a plan Reminders (F) Self-monitoring Self-monitoring (F) Promotion of repetition Satisfaction regarding the experience Positive experience of a new behavior Ease of use and usefulness (P) Attaining anticipated outcomes Self-monitoring (F) Different domains of success Route (C, the Strategy) Enhancing intrinsic motivation Connection with others Social support (F; includes
multiple features from this category)
Competence and autonomy Autogenous technology (C, the Intent)
Positive feedback Praise (F) Self-regulatory strategies Planning, particularly coping planning Rehearsal (F) Self-monitoring Self-monitoring (F) Supporting the development of automaticity Enhancing intrinsic rewards Rewards (F) Consistency Tunneling (F) Reducing behavioral complexity Reduction (F) Creating salient cues Route (C, the Strategy) Breaking unwanted habits Discontinuing exposure to unwanted habit cues Use context (C) Reminders in the environment Reminders (F) Programming alternative responses Rehearsal (F) Self-monitoring Self-monitoring (F) Table2.HabitformationmethodsadaptedfromLallyandGardner[24]andthecorrespondingconstructsofOinas-KukkonenandHarjumaa’sPSDmodel[23].(P=PersuasionPostulate,C=PersuasionContext,F=SystemFeature.)
Withregardtothestageofautomaticity,ourresultsareconsistentwithLallyand
Gardner’s[24]ideathatextrinsicrewardsarenotnecessaryforhabitformation.
6.2 Implications for Research IntheBCSSframework,Oinas-Kukkonenstatesthatasustainablebehavior
changeoccursonlythroughanattitudechange[19].Thisnotionissupported
particularlybytwowidelyusedtheories,namelythetheoryofreasonedaction
(TRA)[59]andthetheoryofplannedbehavior(TBP)[79].However,during
recentyearsintheareaofhealthpsychology,cognitivetheorieshaveclaimedto
fallshortempirically[58]andhavealsofacedfiercecriticism.Accordingto
Schwarzer[61],thereasonedactionapproachisinadequate,asitdoesnottake
intoaccountprocessesinvolvingbehaviorchange.McEachanetal.[80]found
thattheTPBisaconsiderablypoorpredictorofbehaviorinlongitudinalstudy
design,whenparticipantsarenotstudentsandwhentheoutcomesaremeasured
objectivelyinsteadofusingself-reportedresults.Sniehottaetal.[81]radically
demand“retiring”theTPB.Despitethecritics’claims,intentionsdonotneedto
bebelievedtobeacounterpointtoautomaticity.AccordingtoGardner[54],a
habitcanbeconsideredamechanismthatcuesconsciousdecision-making,
whichinturnpromptsbehavior,ratherthanmanagestheproceduralenactment
ofbehavior.Similarly,whenbattlingwitholdunwantedlifestylehabits,Lallyand
Gardner[24]arguethatprogrammingalternativeresponsestocuesbringsthe
decisionstoconsciousness.Neuroimagingstudiessuggestthatwhenmultiple
responsesareactivatedsimultaneously,theprefrontalcortex—whichisinvolved
inthedeliberativedirectionofactions—isactivated[82,83].Theabilitytoexert
self-controlisimportant,andwhenapersonisponderingbetweentwooptions,
designersofhealthinterventionsshouldensurethatintentionstoperformnew
behaviorsremainprioritizedatthedecisionpoint[84].Thisremarkincisively
indicateswhypersuasionishighlyimportantforHBCSSs.Despitethe
developmentoftheBCSSframeworkandPSDmodel[19,23],thereisstillrather
littleunderstandingofhowHBCSSusersexperiencehabitformation,andexplicit
suggestionsfordevelopersonhowtosupporthabitformationviatheuseof
HBCSSsarealsofew.
Whilehabitformationcanbehypothesizedtohelpbehaviorchange,itis
nonethelesspossibleforpeopletoloseweightwithoutnecessarilyforminga
habit.Theultimatequestionofthetruenatureofbehaviorchangealsomerits
moreattention,asitwillprofoundlyimpactthedesignandstudyoffuture
HBCSSs.
Accordingtoourresults,itappearsthatforsomeoftheparticipantsthemere
participationinastructuredinterventionwasmoreimportantthanthecontent
oftheintervention.Inthisstudy,forseveralindividuals,thefamiliarityofthe
systemandforeseeablescheduleappearedtoreducethecognitiveloadand
madeiteasiertocommittothedesiredlifestylechangeprocess.Theneedfor
supportingcompetenceandautonomyisnotaclear-cutissueinthisstudy.
Accordingtoourfindings,manysystemuserswererathercontenttofollow
externalinstructions,whilesomehadhopedforevenstricterinterventionby
professionals.Althoughself-determinedbehaviorchangeisthenaturalgoalof
HBCSSs,ourresultssuggestthatthereisavastgreyareabetweenindependence
andcompliancethatrequiresfurtherstudy.Itcanbehypothesizedthatthe
“Doctor´sorder,”thatis,aprescriptionsimilartoanexerciseprescriptionwill
increaseadherence.Thus,inthefuture,wewillseektorecruithealthcarecenters
withdifferentpatientprofiles(urban,suburban,rural).Patientswhoare
consideredtobeathighriskwillberandomizedandgiveneithernormalgroup
counselingifatallavailableoraprescription.Patternsobserved Theoreticalimplications PracticalimplicationsBCSSusehabitscombinedwithpersuasivefeaturesofself-monitoring,reminders,andtunnelingcanhelpuserstocommit
Self-monitoringandremindersworkinmultiplehabitformationstages,whichcanbeoneexplanationwhyfeatureswereperceivedsovaluablebyparticipants
TunnelingfeatureshouldnotbeoverlookedwhendesigningBCSSs
Perceivedlifestylehabitdidnotresonatewith5%weightlossamongparticipants
Thetruenatureofbehaviorchangemeritsfurtherresearch
Whenapersonisponderingbetweenopinions,interventionshouldensurethatnewbehaviorsremainprioritizedatthedecisionpoint
AlackoftimetoutilizethesystemwascommonargumentfornotusingOnnikka
Studyingpersuasioncontextisanimportantresearcharea
Systemdesignshouldnotfocusmerelyonrepetition,butalsofindwaystoconstructspaceforahealthylifestyle
Participantswerelesslikelytousethesystemifitdidnotfitintotheirdailyroutines
Bestmomentsforpersuasionisunderstudiedarea
Inthefuture,HBCSScouldidentifyaperson’sidletime,suggesthealthyactivity,andcreateasalientcue
Forsomeindividualsthemereparticipationwasmoreimportantthanthecontentoftheintervention
Enhancingcommitmentandconsistencycanreduceparticipant’scognitiveload
Prescriptionofaninterventionmightincreaseadherence
Table3.Patternsobservedandtheoreticalandpracticalimplicationsbasedonthesefindings
6.3 Limitations Therearemultiplelimitationsinthisstudy.Onnikkawasnotoriginallybuilt
accordingtohabitformationstagesand,therefore,itispracticallyimpossibleto
ascertainwhethersomeofthemethodswereleftunmentionedintheinterviews
becausetheywerenotperceivedasbeingmeaningfulortheywerenot
implementedinHBCSSsufficientlyeffectively.Moreover,therearemanywaysto
studysystemuseadherenceinadditiontologinactivities(e.g.,timespentinthe
system,posts,pageviews).Finally,LallyandGardner’s[24]studywasnot
referredtoineverydetail,whichleavesroomforfutureresearch;forexample,
theimportanceofpersonalgoalsettingisnotdiscussedinthisstudy.Further,
thetermsandconceptsbetweentheframeworksintroducedinTable2arenot
identical.Thisleavesroomforfurtherresearchtoreconcilethesemodelsandto
createunifiedapproach.Thereliabilityofresultscouldalsobequestioned
becauseonlyonecoderanalyzedthedataset.
7 Conclusions ThisstudyoffersgreaterinsightintohowHBCSSscouldhelpinbreaking
unwantedhabitsandfosterahealthierlifestyleamongindividuals.
Understandinglifestylehabitsisimportant,ashabitspromptbehaviorwith
minimalcognitiveresourcesandcanbebeneficialinhealthbehavior
maintenance.
Inthisqualitativestudy,aHBCSSnamedOnnikka,designedaccordingtothePSD
model[23]andtheBCSSframework[19],wasusedasaresearchmedium.A
totalof43interviewswereconductedtostudyusers’experienceswithregardto
thesystem,andparticipants’weightmeasurementswereutilizedtointerpretthe
results.Theresearchapproachemployedwashermeneutics,whichleans
ontologicallytowardthesocialconstructionofreality,gainedthroughlanguage,
consciousness,andsharedmeaning.LallyandGardner’s[24]conceptualization
ofhabitformationstageswasusedasalensofinterpretation.Lallyand
Gardner’s[24]workprovidesapossibleexplanationforwhyself-monitoring,
reminders,andtunnelingwereperceivedasparticularlyvaluablefeaturesinthis
researchstudy.
Accordingtotheresultsofthisstudy,habitsplayadualroleinhealthBCSSs.Use
habitsappeartohaveastronglinkwithsystemuseadherence,whichinturn
mayproducebetterhealthoutcomesforindividuals.Perceivedlifestylehabits
didnotappeartoresonatewiththeactual5%weightlossamongparticipantsin
thisstudy.Acompletechangeinlifestyleisoftennecessarytoachieve
sustainableweightloss,whichinturnrequiresholistice-healthinterventions.As
aBCSS’scoreaimistoimpactindividuals’livesandhelpthemmanagelifestyle
changes,morestudiesontheuseofBCSSsintheiractualcontextsarenecessary
todiscoverhowdifferentpersuasivestrategiescanhelppeopleachievehealthier
lifestylesinpractice.
8 Acknowledgments Wewishtothanktheanonymousreviewersofthisarticlefortheirinsightful
comments.WewouldliketoexpressourgratitudetothePrevMetSynresearch
consortium,includingprofessorMaija-LeenaHuotari,PhDHeidiEnwald,and
KreettaAskola.WealsothankPhDHannuVähänikkiläforhishelptoimprovethe
manuscript.HOKwishestothanktheFinnishCulturalFoundationforsupporting
thisresearch.
9 Conflicts of Interest TheauthorsarepartoftheresearchteamthatdevelopedOnnikka,thebehavior
changesupportsystem.Thesystemhasbeendevelopedsolelyforresearch
purposes,withoutanycommercialinterests.
10 References [1]TsigosC,HainerV,BasdevantA,FinerN,FriedM,Mathus-VliegenE,MicicD,MaislosM,RomanG,
SchutzY,ToplakH,Zahorska-MarkiewiczB(2008)ObesityManagementTaskForceof theEuropean
Association for the Study of Obesity Management of obesity in adults: European clinical practice
guidelines.ObesFacts1(2):106–116.
[2]FinucaneM,StevensG,CowanM,DanaeiG,LinJ,PaciorekC,SinghG,GutierrezH,LuY&BahalimA
(2011)GlobalBurdenofMetabolicRiskFactorsofChronicDiseasesCollaboratingGroup(BodyMass
Index)National,regional,andglobaltrendsinbody-massindexsince1980:systematicanalysisofhealth
examinationsurveysandepidemiologicalstudieswith960country-yearsand9.1millionparticipants.
Lancet377(9765):557–567.
[3]StevensGA,SinghGM,LuY,DanaeiG,LinJK,FinucaneMM,BahalimAN,McIntireRK,GutierrezHR&
CowanM (2012) National, regional, and global trends in adult overweight and obesity prevalences.
PopulHealthMetr10(1):22.
[4]KrugerJ,GaluskaDA,SerdulaMK&JonesDA(2004)Attemptingto loseweight:specificpractices
amongUSadults.AmJPrevMed26(5):402–406.
[5]AndersonJW,KonzEC,FrederichRC&WoodCL(2001)Long-termweight-lossmaintenance:ameta-
analysisofUSstudies.AmJClinNutr74(5):579–584.
[6]WestenhoeferJ,VonFalckB,StellfeldtA&FintelmannS(2004)Behaviouralcorrelatesofsuccessful
weightreductionover3y.ResultsfromtheLeanHabitsStudy.IntJObes28(2):334–335.
[7]WingRR,KoeskeR,EpsteinLH,NowalkMP,GoodingW&BeckerD(1987)Long-termeffectsof
modestweightlossintypeIIdiabeticpatients.ArchInternMed147(10):1749–1753.
[8]Barinas-MitchellE,KullerLH,Sutton-TyrrellK,HegaziR,HarperP,MancinoJ&KelleyDE(2006)
Effectofweightlossandnutritionalinterventiononarterialstiffnessintype2diabetes.DiabetesCare
29(10):2218–2222.
[9]DavisW,BruceD&DavisT(2011)EconomicimpactofmoderateweightlossinpatientswithType
2diabetes:theFremantleDiabetesStudy.DiabetMed28(9):1131–1135.
[10]RothertK,StrecherVJ,DoyleLA,CaplanWM,JoyceJS,JimisonHB,KarmLM,MimsAD&RothMA
(2006)Web-basedWeightManagementProgramsinanIntegratedHealthCareSetting:ARandomized,
ControlledTrial.Obesity14(2):266–272.
[11]HunterCM,PetersonAL,AlvarezLM,PostonWC,BrundigeAR,HaddockCK,VanBruntDL,Foreyt
JP(2008)Weightmanagementusingtheinternet:arandomizedcontrolledtrial,Am.J.Prev.Med.11,
119–126.
[12]MooreTJ,AlsabeehN,ApovianCM,MurphyMC,CoffmanGA,Cullum-DuganD,JenkinsM&Cabral
H (2008) Weight, blood pressure, and dietary benefits after 12 months of a Web-based Nutrition
EducationProgram(DASHforhealth):longitudinalobservationalstudy.JMedInternetRes10(4):e52.
[13]SvetkeyLP,StevensVJ,BrantleyPJ,AppelLJ,HollisJF,LoriaCM,VollmerWM,GullionCM,FunkK&
Smith P (2008) Comparison of strategies for sustaining weight loss: the weight loss maintenance
randomizedcontrolledtrial.JAmMedAssoc299(10):1139–1148.
[14]WebbTL,JosephJ,YardleyL,MichieS(2010)Usingtheinternettopromotehealthbehaviorchange:
a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change
techniques,andmodeofdeliveryonefficacy.JMedInternetRes,12(1):e4.
[15] International Telecommunication Union (2017) ITU ICT Facts and Figures 2017. URI:
https://www.itu.int/en/ITU-D/Statistics/Documents/facts/ICTFactsFigures2017.pdf. Cited
2017/12/28.
[16]KaipainenK,PayneCR&WansinkB(2012)MindlessEatingChallenge:retention,weightoutcomes,
andbarriersforchangesinapublicweb-basedhealthyeatingandweightlossprogram.JMedInternet
Res14(6):e168.
[17]EysenbachG(2000)Aframeworkforevaluatinge-health:systematicreviewofstudiesassessing
thequalityofhealthinformationandservicesforpatientsontheInternet.JMedInternetRes2(Suppl2).
[18] BrouwerW,KroezeW, Crutzen R, deNooijer J, deVriesNK, Brug J &OenemaA (2011)Which
intervention characteristics are related to more exposure to internet-delivered healthy lifestyle
promotioninterventions?Asystematicreview.JMedInternetRes13(1):e2.
[19]Oinas-KukkonenH(2013):AfoundationforthestudyofBehaviorChangeSupportSystems.Pers
UbiquitComput17(6):1–13.
[20] Lehto T &Oinas-Kukkonen H (2015) Examining the persuasive potential ofWeb-based health
BehaviorChangeSupportSystems.AISTransHum-ComputInteract7(3):126–140.
[21]KeldersSM,KokRN,OssebaardHC,etal.(2012)Persuasivesystemdesigndoesmatter:asystematic
reviewofadherencetoweb-basedinterventions.JMedInternetRes,Nov14;14(6):e152.
[22] Sharpe, E. E., Karasouli, E., & Meyer, C. (2017). Examining Factors of EngagementWith Digital
InterventionsforWeightManagement:RapidReview.JMIRresearchprotocols,6(10).
[23]Oinas-KukkonenH&HarjumaaM(2009)Persuasivesystemsdesign:Keyissues,processmodeland
systemfeatures.CommunicationsoftheAssociationforInformationSystems24(28):485–500.
[24]LallyP&GardnerB(2013)Promotinghabitformation.HealthPsychologyReview7(sup1):S137–S158.
[25]DrozdF,LehtoT&Oinas-KukkonenH(2012)Exploringperceivedpersuasivenessofabehavior
changesupportsystem:astructuralmodel.PERSUASIVE2012,LNCS7284:157–168.
[26] Langrial S, Lehto T, Oinas-Kukkonen H, Harjumaa M & Karppinen P (2012) Native mobile
applicationsforpersonalwell-being:apersuasivesystemsdesignevaluation.Proceedingsofthe16th
Pacific-AsiaConferenceonInformationSystems(PACIS2012):93.
[27] LehtoT,Oinas-KukkonenH,PatialaT&SaarelmaO(2012)Consumers’PerceptionsofaVirtualHealthCheck:AnEmpiricalInvestigation.ECIS2012Proceedings.,AISElectronicLibrary(AISeL):Paper
154.
[28]HalttuKirsi&Oinas-KukkonenHarri(2017)PersuasingtoReflect:RoleofReflectionandInsightin
PersuasiveSystemsDesignforPhysicalActivity.Human-ComputerInteraction.,32:5-6,pp.381-412.
[29]DavisFD(1989)Perceivedusefulness,perceivedeaseofuse,anduseracceptanceofinformation
technology.ManagInfSystQ13(3):319–340.
[30]PettyR&JCacioppo(1986)Theelaborationlikelihoodmodelofpersuasion.AdvExpSocPsychol
19(1):123–205.
[31]MichieS,AbrahamC,WhittingtonC,McAteerJ&GuptaS(2009)Effectivetechniquesinhealthy
eatingandphysicalactivityinterventions:ameta-regression.HealthPsychology28(6):690.
[32]LehtoT,Oinas-KukkonenH,.Explainingandpredictingperceivedeffectivenessandusecontinuance
intentionofabehaviourchangesupportsystemforweight loss.Behaviour&InformationTechnology
2015;34(2):176-189.
[33] Fry JP, Neff RA,. Periodic prompts and reminders in health promotion and health behavior
interventions:systematicreview.JMedInternetRes2009;11(2):e16.
[34]LehtoT(2013)Theimportanceofpersuasivesystemsdesigninenhancingconsumers’perceptions
andadoptionofhealthbehaviorchangesupportsystems.ActaUnivOulA610.PhDthesis.UnivOulu.
DepartmentofInformationProcessingScience.
[35]AlahaivalaT,Oinas-KukkonenH&JokelainenT(2013)SoftwareArchitectureDesignforHealth
BCSS:CaseOnnikka.PersuasiveTechnology.Springer:3–14.
[36]KarppinenP,AlahaivalaT,JokelainenT,KeranenA,SalonurmiT&Oinas-KukkonenH(2014)Flow
orNoFlow?AQualitativeStudyofHealthBehaviorChangeSupportSystem.SystemSciences(HICSS),
201447thHawaiiInternationalConferenceon.IEEEComputerSociety:3044–3053.
[37]Karppinen,P,etal.(2016)PersuasiveuserexperiencesofahealthBehaviorChangeSupportSystem:
A12-monthstudyforpreventionofmetabolicsyndrome,InternationalJournalofMedicalInformatics,
96:51-61.doi:10.1016/j.ijmedinf.2016.02.005.Epub2016Feb26.
[38]BeckJ(1995)Cognitivetherapy:basicsandbeyond.NewYorkNY,GuilfordPress.
[39]KarlssonJ,PerssonL-O,SjöströmL,SullivanM:Psychometricpropertiesandfactorstructureofthe
Three-FactorEatingQuestionnaire(TFEQ)inobesemenandwomen.ResultsfromtheSwedishObese
Subjects(SOS)study.IntJObesRelatMetabDisord.2000,24(12):1715-1725.10.1038/sj.ijo.0801442.
[40] Myers MD & NewmanM (2007) The qualitative interview in IS research: examining the craft.
InformationandOrganization17(1):2–26.
[41]PattonMQ(1990)Qualitativeevaluationandresearchmethods.ThousandOaks,California,SAGE
Publications,inc.
[42]KleinHK&MyersMD(1999)Asetofprinciplesforconductingandevaluatinginterpretivefield
studiesininformationsystems.MISquarterly23(1):67–93.
[43]WalshamG(2006)Doinginterpretiveresearch.EurJInformSyst15(3):320–330.
[44]StahlBC(2014)Interpretiveaccountsandfairytales:acriticalpolemicagainsttheempiricist
biasininterpretiveISresearch.EurJInformSyst23(1):1–11.
[45] Sarker S & Lee AS (2006) Does the use of computer-based BPC tools contribute to redesign
effectiveness?Insightsfromahermeneuticstudy.EngineeringManagement,IEEETransactionson53(1):
130–145.
[46]KarppinenP, LehtoT,Oinas-KukkonenH,PätiäläT&SaarelmaO(2014)Usinghermeneuticsto
uncover anomalies for non-adoption of behavior change support systems. PACIS 2014 Proceedings.
Chengdu,China,AIS:Paper110.
[47]ColeM&AvisonD(2007)Thepotentialofhermeneuticsininformationsystemsresearch.EurJInformSyst16(6):820–833.
[48]ButlerT(1998)Towardsahermeneuticmethodforinterpretiveresearchininformation
systems.JInfTechnol13(4):285–300.
[49]LeeAS,&DennisAR(2012).Ahermeneuticinterpretationofacontrolledlaboratory
experiment:acasestudyofdecision-makingwithagroupsupportsystem.InformationSystemsJournal,
22(1),3-27.
[50]TrauthE&JessupL(2000)Understandingcomputer-mediateddiscussions:Positivistand
interpretiveanalysesofgroupsupportsystemuse.ManagInfSystQ24(1):43–79.
[51]TinglingP&ParentM(2004)Anexplorationofenterprisetechnologyselectionandevaluation.J
StratInfSyst13(4):329–354.
[52]DickeyMH,BurnettG,ChudobaKM&KazmerMM(2007)Doyoureadme?Perspectivemakingand
perspectivetakinginchatcommunities.JAssocInfSyst8(1):47–70.
[53]MilesMB&HubermanAM(1994)Qualitativedataanalysis:Anexpandedsourcebook.Thousand
OaksCA,SagePublications.
[54] Gardner B (2014) A review and analysis of the use of ‘habit’in understanding, predicting and
influencinghealth-relatedbehaviour.HealthPsycholRev9(3):277–95.
[55]VerplankenB&AartsH(1999)Habit,attitude,andplannedbehaviour:ishabitanemptyconstruct
oraninterestingcaseofgoal-directedautomaticity?Europeanreviewofsocialpsychology10(1):101–
134.
[56]WoodW&NealDT(2009)Thehabitualconsumer.JournalofConsumerPsychology19(4):579–
592.
[57]LallyP,VanJaarsveldCH,PottsHW&Wardle J(2010)Howarehabits formed:modellinghabit
formationintherealworld.EurJSocPsychol40(6):998–1009.
[58]JefferyRW,EpsteinLH,WilsonGT,DrewnowskiA,StunkardAJ&WingRR(2000)Longterm
maintenanceofweightloss:currentstatus.HealthPsychol19(1S):5.
[59] FishbeinM&Ajzen I (2011) Predictingand changingbehavior:The reasonedaction approach.
Taylor&Francis.
[60]BanduraA(1994)Self-efficacy.WileyOnlineLibrary.
[61]SchwarzerR(2014)Lifeanddeathofhealthbehaviourtheories.Healthpsychologyreview8(1):
53–56.
[62] Sheeran P (2002) Intention—behavior relations: A conceptual and empirical review. European
reviewofsocialpsychology12(1):1–36.
[63]RothmanAJ(2000)Towardatheory-basedanalysisofbehavioralmaintenance.HealthPsychology19(1S):64.
[64]LouroMJ,PietersR&ZeelenbergM(2007)Dynamicsofmultiple-goalpursuit.JPersSocPsychol
93(2):174.
[65]LallyP,WardleJ&GardnerB(2011)Experiencesofhabitformation:Aqualitativestudy.Psychol
HealthMed16(4):484–489.
[66]RyanRM&DeciEL(2000)Self-determinationtheoryandthefacilitationofintrinsicmotivation,
socialdevelopment,andwell-being.AmPsychol55(1):68.
[67] Skinner BF (1938) The behavior of organisms: an experimental analysis. New York, Appleton-
Century-Crofts.
[68]DeciEL,KoestnerR&RyanRM(1999)Ameta-analyticreviewofexperimentsexamining
theeffectsofextrinsicrewardsonintrinsicmotivation.PsycholBull125(6):627.
[69]GraybielAM(1998)Thebasalgangliaandchunkingofactionrepertoires.NeurobiolLearnMem
70(1):119–136.
[70]ArmitageCJ(2005)Canthetheoryofplannedbehaviorpredictthemaintenanceofphysicalactivity?
HealthPsychology24:235–245.
[71]EinsteinGO&McDanielMA(1990)Normalagingandprospectivememory.JournalofExperimental
Psychology:Learning,Memory,andCognition16(4):717.
[72]BoutonME(2000)Alearningtheoryperspectiveonlapse,relapse,andthemaintenanceofbehavior
change.HealthPsychology19(1S):57.
[73]PrestwichA,PeruginiM&HurlingR(2009)Cantheeffectsofimplementationintentionsonexercise
beenhancedusingtextmessages?PsychologyandHealth24(6):677–687.
[74]WoodW&NealDT(2007)Anewlookathabitsandthehabit-goalinterface.PsycholRev114(4):
843.
[75]Maher,C.A.,Lewis,L.K.,Ferrar,K.,Marshall,S.,DeBourdeaudhuij,I.,&Vandelanotte,C.(2014).Are
healthbehavior change interventionsthatuseonline socialnetworkseffective?A systematicreview.
JournalofmedicalInternetresearch,16(2).
[76]KrukowskiRA,Harvey-BerinoJ,AshikagaT,etal.,.Internet-basedweightcontrol:therelationship
betweenwebfeaturesandweightloss.TelemedJEHealth2008;14(8):775-782.
[77]LehtoT&Oinas-KukkonenH(2015)ExaminingthepersuasivepotentialofWeb-based
healthBehaviorChangeSupportSystems.AISTransHum-ComputInteract7(3):126–
140.
[78]Räisänen,T.,Oinas-Kukkonen,H.,&Pahnila, S. (2008, June). Findingkairos inquitting smoking:
Smokers’perceptionsofwarningpictures. InInternationalConferenceonPersuasiveTechnology(pp.
254-257).Springer,Berlin,Heidelberg.
[79] Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision
processes,50(2),179-211.
[80]McEachanRRC,ConnerM,TaylorNJ&LawtonRJ(2011)Prospectivepredictionofhealth-related
behaviourswiththeTheoryofPlannedBehaviour:ameta-analysis.HealthPsycholRev5(2):97–144.
[81]SniehottaFF,PresseauJ&Araujo-SoaresV(2014)Timetoretirethetheoryofplannedbehaviour.
HealthPsychologyReview8(1):1–7.
[82]BotvinickMM,BraverTS,BarchDM,CarterCS&CohenJD(2001)Conflictmonitoringandcognitive
control.PsycholRev108(3):624.
[83]YeungN,BotvinickMM&CohenJD(2004)Theneuralbasisoferrordetection:conflictmonitoring
andtheerror-relatednegativity.PsycholRev111(4):931.
[84]AdriaanseMA,OettingenG,GollwitzerPM,HennesEP,DeRidderDT&DeWit JB(2010)When
planningisnotenough:Fightingunhealthysnackinghabitsbymentalcontrastingwithimplementation
intentions(MCII).EuropeanJournalofSocialPsychology40(7):1277–1293.