AI-Refit – AI-enabled Playful Enhancement of Resilience and Self-Efficacy with Psychological Learning Theory

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

Dr. Lucas Paletta

Organization

JOANNEUM RESEARCH Forschungsgesellschaft mbH, Austria.

Team

Dr. Lucas Paletta

Sandra Draxler

Michael Schneeberger

Martin Pszeida

Jochen A. Mosbacher

Thomas Orgel

Silvia Russegger

Project Description & Objectives

The project AI-Refit AI-Refit developed an innovative prototype of a digital care centre for (i) a playful AI- and sensor-enabled assessment of mental health and (ii) adaptively engaging into activities to prevent from depressive symptoms, indication of anxiety and stress levels, to reinforce resilience and to promote self-efficacy of the individual, based on wearables (Garmin vivosmart and Tablets with eye-tracking analytics). The project performed an RCT study that successfully resulted in the provision of several digital biomarkers for resilience estimation, mental strain, perceived stress and sleep quality based on the digital biosignal sensors using by Garmin and Fitrockr data collection.

https://projekte.ffg.at/projekt/4138817

Data Collection Process

Participants were recruited using digital platforms, and wearables were distributed and recollected in workshops at specific locations. Participants used the Garmin device day and night for 2 months.

Fitrockr Utilization

We used the Fitrockr platform to collect within an RCT-study numerous lines of wearable sensor data at the same time and to get an overview on the results. Used functions were “export” and “data dump”.

Wearable Used

Vivosmart 5

Number of Participants

56

Duration

24 months

Metrics Collected

HRV

Heart Rate

Stress

Steps

Sleep

Body Battery

Accelerometer

Fitrockr Sync Type

Sync via Fitrockr app on participant smartphone.

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