M E Mo P A D
We are co-designing a human-centered digital tool that uses technology to understand emotion responses, providing clear and continuous data to empower users and facilitate deeper conversations with clinicians.
The Clinical Need
Previous attempts to integrate structured data in mental health have faced persistent challenges, including the complexity of multimodal data, the social stigma that delays help-seeking, and difficulties in data interpretation which can hinder user engagement. We believe focusing on emotion can mitigate these issues by providing a universally understood common ground.
Our Approach
Commercially available wearable devices feature increasingly sophisticated sensors at affordable prices, without the stigma associated with medical-looking hardware. Our approach focuses on data collected from consumer wearables and mobile phones to capture longitudinal and contextualised data through multimodal affective computing.
Our Vision
Our goal is to co-design a digital tool that provides clear, continuous, and interpretable emotion data. We aim to help users understand themselves better, foster proactive self-management, and facilitate deeper, more effective conversations with their clinicians, ultimately improving pathways for anxiety care.