XAI-PAC: Towards Explainable and Private Affective Computing
Jan 1, 2024
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1 min read
Funding: SNF · January 2024 – January 2028
Wearable devices combined with AI methods can improve lives through affective computing, which tracks factors related to emotional states and stress for remote mental-health management. However, current AI methods are “black-boxed” and require vast sensitive data. The project addresses the need for explainable and privacy-aware affective computing.
Objectives
- Develop novel eXplainable AI (XAI) tools for affective-computing methods based on wearable sensor data with multimodal, interactive capabilities
- Develop privacy-aware ML methods for wearable sensor data, including privacy-aware personalization and domain-adaptation
- Fuse privacy awareness and explainability into a single integrated approach
