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Designing a Mobile Social and Vocational Reintegration Assistant for Burn-out Outpatient Treatment

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arxiv 2012.08254 v1 pith:6WVGIRX3 submitted 2020-12-15 cs.HC cs.AI

classification cs.HCcs.AI
keywords socialagentsburn-outpatientstreatmentagentapproachassistant
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Using Social Agents as health-care assistants or trainers is one focus area of IVA research. While their use as physical health-care agents is well established, their employment in the field of psychotherapeutic care comes with daunting challenges. This paper presents our mobile Social Agent EmmA in the role of a vocational reintegration assistant for burn-out outpatient treatment. We follow a typical participatory design approach including experts and patients in order to address requirements from both sides. Since the success of such treatments is related to a patients emotion regulation capabilities, we employ a real-time social signal interpretation together with a computational simulation of emotion regulation that influences the agent's social behavior as well as the situational selection of verbal treatment strategies. Overall, our interdisciplinary approach enables a novel integrative concept for Social Agents as assistants for burn-out patients.

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