AI-enabled Playful Enhancement of Resilience and Self-Efficacy with Psychological Learning Theory
Authors: Lucas Paletta, Silvia Russegger, Dietrich Albert, Eva Reininghaus, Melanie Lenger, Maria Fellner, Thomas Lutz, Martin Pszeida, Sandra Draxler, Thomas Orgel, Michael Schneeberger, Suher Guggemos, Jochen Mosbacher, Stephan Spat, Gloria Pötz
Abstract: The outbreak of COVID-19 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 AI-Refit 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 sensor-enabled assessment of mental health, (iii) to capture daily lifestyle data for a comprehensive contextual assessment from non-obtrusive wearables, and (iv) to adaptively promote self-efficacy of the individual, based on scientific psychological learning theory.
Keywords: Artificial Intelligence, resilience, learning theory
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