基于心理学习理论的人工智能游戏增强弹性和自我效能

L. Paletta, S. Russegger, D. Albert, Eva Z. Reininghaus, M. Lenger, M. Fellner, T. Lutz, M. Pszeida, S. Draxler, T. Orgel, M. Schneeberger, Suher Guggemos, J. Mosbacher, Stephan Spat, G. Pötz
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引用次数: 0

摘要

2019冠状病毒病疫情引发了全球突发公共卫生事件,给人们的生活和精神健康带来了多方面的严重后果。痛苦和焦虑是对这种极端情况的正常反应。奥地利的AI- refit研究项目旨在打造一个极具创新性的应用程序原型,代表一个数字护理中心(i)通过参与预防抑郁症状、严重焦虑和压力水平的活动来增强复原力,(ii)应用好玩的人工智能和传感器对心理健康进行评估,(iii)从不引人注目的可穿戴设备中获取日常生活方式数据,进行全面的情境评估,以及(iv)自适应地提高个人的自我效能。基于科学的心理学习理论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI-enabled Playful Enhancement of Resilience and Self-Efficacy with Psychological Learning Theory
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.
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