When AI Meets Emotion
What if your AI assistant could sense when you're frustrated before you even say it? This question drove our research on empathetic conversational agents.
The Problem We Saw
Current conversational AI is remarkably good at understanding what you say but terrible at understanding how you feel. You could tell Siri you're fine while your heart rate is elevated and your voice is strained-and it wouldn't notice.
Our Approach
We integrated neural and physiological signals into conversational systems. This means:
- EEG signals to capture cognitive states
- Heart rate variability for emotional arousal
- Galvanic skin response for stress detection
- Voice analysis for emotional undertones
The technical challenge was fusing these modalities in real-time while maintaining natural conversation flow.
What We Learned
The most surprising finding? People don't want AI that mirrors their emotions-they want AI that responds appropriately to them. An angry user doesn't need an angry AI; they need one that acknowledges their frustration and helps resolve it.
This has profound implications for designing human-AI interaction.
Looking Forward
Empathetic AI isn't about replacing human connection-it's about creating technology that respects and responds to our emotional reality. This work directly feeds into my PhD research on making virtual meetings more human.