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Now All Together: Overview of Virtual Health Assistants Emulating Face-to-Face Health Interview Experience

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dc.contributor.authorLisetti, Christine
dc.contributor.authorAmini, Reza
dc.contributor.authorYasavur, Ugan
dc.date.accessioned2018-01-08T09:17:45Z
dc.date.available2018-01-08T09:17:45Z
dc.date.issued2015
dc.description.abstractWe discuss a large research project aimed at building socially expressive virtual health agents or assistants (VHA) that can deliver brief motivational interventions (BMI) for behavior change, in a communication style that individuals and patients not only accept, but also find emotionally supportive and socially appropriate. Because of their well-defined sequential structure, BMIs lend themselves well to automation, and are adaptable to address a variety of target behaviors, from obesity, to alcohol and drug use, to lack treatment adherence, among others. We discuss the advantages that VHAs provide for the delivery of health interventions. We describe components of our intelligent agent architecture that enables our virtual health agents to dialogue with users in realtime while delivering the appropriate intervention based on the patient’s specific needs at the time. We conclude by identifying open research challenges in developing virtual health agents.
dc.identifier.pissn1610-1987
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/11455
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 29, No. 2
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectBehavior change
dc.subjectBrief interventions
dc.subjectComputational models of empathy and rapport
dc.subjectEmbodied conversational agents (ECA)
dc.subjectHidden Markov models (HMM)
dc.subjectIntelligent virtual health agents
dc.subjectMarkov decision process (MDP)
dc.subjectMotivational interviewing
dc.subjectSpoken dialog systems for Health
dc.titleNow All Together: Overview of Virtual Health Assistants Emulating Face-to-Face Health Interview Experience
dc.typeText/Journal Article
gi.citation.endPage172
gi.citation.startPage161

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Künstliche Intelligenz 29(2) - Mai 2015