10$advantages$of$using… · lisetti, c. 10 advantages of using avatars in patient-centered...

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The social problem • Increasing prevalence of behavioral health issues: • Obesity • 33.8% of US adults • 17% (or 12.5 million) of US children and teens • tripled in one generaFon • Alcoholism • EsFmated to affect 10K20% of US males and 5K10% of females someFme in their lifeFmes • Other forms of substance abuse • US life expectancy is forecast to decrease for the first Fme (CDCP, 2011) 10 Advantages of using Avatars in Pa<ent=Centered Computer=based Interven<ons for Behavior Change The social problem con<nued... • It's economically impossible to provide health counseling for 13 million obese children • much less prevenFve care for the children who are at risk of obesity • or the rest of the populaFon • We can’t train tens of millions of new behavioral medicine people • We can only solve this problem through automa<on • And it gets worse… • The average American reads at the 8th grade level, 3 to 4 grades below last grade completed • 20% read below the 5th grade level (Neuhauser&Kreps, 2011) • Most health informa<on is wri\en above the 10th grade level • So not only do they not want to read the NIH web pages, many are not able What are avatars? • Avatars or Embodied ConversaFonal Agents are: • digital anthropomorphic virtual characters • who can enter into a dialog with their users by speaking in natural languages • using natural nonKverbal social cues • and who can live on a PC at home, • on the internet, or even on a mobile phone Avatars can help solve the social problem Avatars can tailor health interven<ons Avatars can build working alliance AvatarKbased intervenFons can: provide working alliance K the most important predictor of posiFve paFent outcomes K because people do develop personal rela<onships with computers that give social cues (Reeves&Nass, 1996) exhibit infinite pa<ence that human counselors oaen lack in order to help paFents find intrinsic mo<va<on to change (Miller& Rollnick, 2002) Contact: Dr. ChrisFne Lisec, AffecFve Social CompuFng Lab, EKMail: lisec@cis.fiu.edu, Phone: 305K348K6242 AvatarKbased intervenFons can: tailor informa<on to the pa<ent/consumer's specific needs by creaFng and dynamically updaFng a paFent profile from repeatable selfK monitoring assessments, which we know leads to be\er paFent outcomes than generic communicaFon (e.g. brochure) implement pa<ent=physician concordance, which is strongly linked to the quality of healthcare processes, by matching the pa<ent race/language instantly; even though African, Hispanic and NaFve Americans represent more than 25% of the US populaFon, they only comprise fewer than 9% nurses, 6% physicians, and 5% denFsts (Cooper&Power, 2004) Chris<ne LiseN Affec<ve Social Compu<ng Lab SCIS, Florida Interna<onal University Miami, FL USA h"p://ascl.cis.fiu.edu MyPal display empathy via their verbal and nonverbal communicaFon abiliFes and their growing knowledge of their paFent, unlike other CBIs diminish exis<ng 25=100% variability in counselor's rates of improvements among their paFents Avatars that deliver computerKbased intervenFons (CBIs) for behavior change can: increase accessibility because we know that people accept computer= based assessment and feedback programs (Skinner, 1994; Cunningham, 1999) and avatars can be programmed to deliver these address low literacy problem by talking in the naFve language of the paFent reduce high aWri<on rates of current CBIs because physical embodiment increases engagement and social facilitaFon (Zajonc, 1965) increase confiden<ality and divulga<on because people that engage in highKrisk behavior tend to report more informa<on to a computer interviewer than to its human counterpart (ServanKSchreiber, 1986), so these CBIs can address issues that would otherwise be ignored

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Page 1: 10$Advantages$of$using… · Lisetti, C. 10 Advantages of using Avatars in Patient-Centered Computer-Based Interventions for Behavior Change. In ACM Special Interest Group on Health

The$social$problem• Increasing+prevalence+of+behavioral$health+issues:++++++• Obesity++++++++++++• 33.8%+of+US+adults++++++++++++• 17%+(or+12.5+million)+of+US+children+and+teens++++++++++++• tripled+in+one+generaFon++++++• Alcoholism++++++++++++• EsFmated+to+affect+10K20%+of+US+males++++++++++++++++++and+5K10%+of+females++++++++++++++++++someFme+in+their+lifeFmes++++++• Other+forms+of+substance+abuse

• US+life$expectancy+is+forecast+to+decrease+for+the+first+Fme+(CDCP,+2011)

10$Advantages$of$using$Avatars$in$Pa<ent=Centered$Computer=based$Interven<ons$for$Behavior$Change

The$social$problem$con<nued...• It's+economically$impossible+to+provide+health+counseling+for+13+million+obese+children

+++++• much+less+prevenFve+care+for+the+children+who+are+at+risk+of+obesity+++++• or+the+rest+of+the+populaFon•We+can’t$train+tens+of+millions+of+new+behavioral+medicine+people•We+can+only+solve+this+problem+through+automa<on

• And+it+gets+worse…• The+average$American+reads+at+the+8th$grade$level,+++++++3+to+4+grades+below+last+grade+completed+• 20%+read+below+the+5th+grade+level+(Neuhauser&Kreps,+2011)• Most$health$informa<on+is+wri\en+above+the+10th$grade$level• So+not+only+do+they+not$want+to+read+the+NIH+web+pages,+many+are$not$able

What$are$avatars?• Avatars+or+Embodied+ConversaFonal+Agents+are:+++++• digital+anthropomorphic+virtual+characters++++++• who+can+enter+into+a+dialog+with+their+users+$$$$$• by$speaking+in+natural+languages++++++• using+natural+nonKverbal+social+cues+++++• and+who+can+live+on+a+PC+at+home,++++++• on+the+internet,+++++++++++++++or+even+on+a+mobile+phone

Avatars$can$help$solve$the$social$problem

Avatars$can$tailor$health$interven<ons Avatars$can$build$working$alliance

AvatarKbased+intervenFons+can:• provide$working$alliance$K+the+most+important+predictor+of+posiFve+paFent+outcomes+K+because++people$do$develop$personal$rela<onships$with$computers$that+give+social+cues+(Reeves&Nass,+1996)+

• exhibit$infinite$pa<ence+that+human+counselors+oaen+lack+in+order+to+help+paFents+find$intrinsic$mo<va<on$to$change+(Miller&+Rollnick,+2002)

Contact:+Dr.+ChrisFne+Lisec,+AffecFve+Social+CompuFng+Lab,+EKMail:[email protected],+Phone:+305K348K6242

AvatarKbased+intervenFons+can:

• tailor$informa<on+to+the+pa<ent/consumer's$specific$needs+by+creaFng+and+dynamically+updaFng+a+paFent+profile+from+repeatable+selfKmonitoring+assessments,+which+we+know+leads+to+be\er+paFent+outcomes+than+generic+communicaFon+(e.g.+brochure)

• $implement$pa<ent=physician$concordance,$$$$$$which+is+strongly+linked+to+the+quality+of+healthcare++++++processes,+by+matching$the$pa<ent$race/language$$$$$instantly;+++even+though+African,+Hispanic+and+++++NaFve+Americans+represent+more+than+25%+of+the+US+populaFon,+they+only+comprise+fewer+than+9%+nurses,+6%+physicians,+and+5%+denFsts+(Cooper&Power,+2004)

Chris<ne$LiseN$Affec<ve$Social$Compu<ng$Lab

SCIS,$Florida$Interna<onal$UniversityMiami,$FL$USA

h"p://ascl.cis.fiu.edu

MyPal

• display$empathy+via+their+verbal+and+nonverbal+communicaFon+abiliFes+and+their+growing+knowledge+of+their+paFent,+unlike+other+CBIs+

• diminish$exis<ng$25=100%$variability+in+counselor's+rates+of+improvements+among+their+paFents+

Avatars+that+deliver+computerKbased+intervenFons+(CBIs)+for+behavior+change+can:• increase$accessibility+because+we+know+that+people$accept$computer=based+assessment+and+feedback+programs+(Skinner,+1994;+Cunningham,+1999)+and+avatars+can+be+programmed+to+deliver+these

• address$low$literacy$problem+by+talking+in+the+naFve+language+of+the+paFent

• reduce$high$aWri<on$rates$of+current+CBIs+because+physical+embodiment+increases+engagement+and+social+facilitaFon+(Zajonc,+1965)+++

• increase$confiden<ality$and$divulga<on+because+people+that+engage+in+highKrisk+behavior+tend+to+report$more$informa<on$to$a$computer+interviewer+than+to+its+human+counterpart+(ServanKSchreiber,+1986),+so+these+CBIs+can+address+issues+that+would+otherwise+be+ignored

Christine Lisetti
Christine Lisetti
Christine Lisetti
Christine Lisetti
Christine Lisetti
Christine Lisetti
Christine Lisetti
Christine Lisetti
Christine Lisetti
Lisetti, C. 10 Advantages of using Avatars in Patient-Centered Computer-Based Interventions for Behavior Change. In ACM Special Interest Group on Health Informatics SIGHIT Record, the newsletter of SIGHIT, March issue, 2012.
Christine Lisetti
Christine Lisetti
Christine Lisetti