ai empathy lab
Platform

AI Emotion Measurement from Voice

What if the voice itself could tell us how consumers feel?

We develop and evaluate AI-based methods for estimating consumer emotion from vocal prosody, including rhythm, pitch, intonation, pace, and other nonverbal signals. This work complements self-reports with richer, real-time evidence of how people feel during human-AI interactions.

Empathy research is only as good as its emotion measures, and self-reports capture just a fraction of the story.

Leveraging recent advances in computational psychology and AI, we develop novel voice-analytics methods that read consumer emotions directly from prosody: rhythm, intonation, pace, and the micro-signals beneath the words. We conceptually argue and empirically demonstrate that AI-based emotion measurement offers marketing research a richer, more dynamic window into consumer feeling than traditional approaches allow.

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