Designing a Mobile Social and Vocational Reintegration Assistant for Burn-out Outpatient Treatment
December 15, 2020 Β· Declared Dead Β· π International Conference on Intelligent Virtual Agents
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Authors
Patrick Gebhard, Tanja Schneeberger, Michael Dietz, Elisabeth AndrΓ©, Nida ul Habib Bajwa
arXiv ID
2012.08254
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI
Citations
12
Venue
International Conference on Intelligent Virtual Agents
Last Checked
4 months ago
Abstract
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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