AI-Powered Intelligent Mindfulness-Based Cognitive Therapy Companion for Emotion Recognition and Context-Aware Therapy

Mental health is one of the increasingly recognized and widespread issues today due to its growing importance and one aspect that greatly impacts it is emotions. Emotions play a crucial role in shaping mental states and cognitive processes, serving as a motivator for thoughts and actions thus, highlighting the importance of monitoring one’s emotions. Mindfulness-Based Cognitive Therapy (MBCT) is one proven effective in managing and preventing relapses of depression and addressing other mental health challenges. However, its effectiveness is hindered by challenges such as accessibility and user engagement. The researchers aim to develop a mobile application designed to be an adaptive MBCT companion. It utilizes advanced technologies such as facial and voice emotion recognition, LSTM-based emotional forecasting, and context-aware algorithm to offer personalized therapy recommendations to enhance MBCT’s effectiveness and the mental health and well-being of users. To ensure that the mobile application meets their specified requirements, the researchers conducted an evaluation based on the ISO 25010:2011 software quality model, focusing on Functional Suitability, Performance Efficiency, and Interaction Capability. The evaluation gained an overall mean of 3.51 which is classified as “Excellent” signifying that the application is not only well-designed and functional but also highly capable of meeting the needs of its users, providing timely and relevant support in their mindfulness-based cognitive therapy practices.