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AI-Enabled Playful Enhancement of Resilience and Self-Efficacy with Psychological Learning Theory

Autor*innen:
Paletta, Lucas and Russegger, Silvia and Albert, Dietrich and Reininghaus, Eva and Lenger, Melanie and Fellner, Maria and Lutz, Thomas and Pszeida, Martin and Draxler, Sandra and Orgel, Thomas and Schneeberger, Michael and Guggemos, Suher and Mosbacher, Jochen and Spat, Stephan and Poetz, Gloria
Abstract:
The outbreak of COVID19 has caused a global public health emergency with multifaceted severe consequences for people’s lives and their mental health. Distress and anxiety are normal responses to such extreme circumstances. The Austrian research project AIRefit aims at a radically innovative app prototype representing a digital care centre (i) to reinforce resilience by engaging into activities to prevent from depressive symptoms, severe anxiety and stress levels, (ii) to apply playful AI and sensorenabled assessment of mental health, (iii) to capture daily lifestyle data for a comprehensive contextual assessment from nonobtrusive wearables, and (iv) to adaptively promote selfefficacy of the individual, based on scientific psychological learning theory.
Titel:
AI-Enabled Playful Enhancement of Resilience and Self-Efficacy with Psychological Learning Theory
Herausgeber (Verlag):
AHFE International

Publikationsreihe

Buchtitel
Cognitive Computing and Internet of Things
Herausgeber(Verlag)
AHFE International
ISSN
27710718

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