Case Study 1: Ekman's Microexpressions — From Promising Research to Lie Detection Industry
The Research Program
Paul Ekman's decades of research documented cross-cultural facial expression recognition and identified microexpressions — brief, involuntary facial expressions. This work was genuine and influential.
The Commercial Extension
Ekman's findings were commercialized into the Paul Ekman Group, offering: - METT (Micro Expression Training Tool) — training software - SETT (Subtle Expression Training Tool) - Consulting services for law enforcement, security agencies, and corporations - The TV show Lie to Me (Fox, 2009-2011) was inspired by Ekman's work
The Evidence Gap
The leap from "microexpressions exist and can be detected in lab conditions" to "microexpression reading enables lie detection in real-world contexts" is not supported by the evidence. Lab demonstrations use posed, isolated expressions. Real-world deception involves complex social interactions with multiple simultaneous cues, motivated deceivers, and high emotional stakes.
The Criticism
Barrett (2017) and colleagues have challenged even the foundational claims about universal expression recognition, arguing that the methodology (forced-choice selection from a limited set of emotion labels) inflates apparent recognition accuracy. The debate continues, but the confidence with which Ekman's findings were commercialized outpaced the evidence.
Discussion Questions
- Should research findings be commercialized into training products before the real-world applications are validated?
- Lie to Me presented microexpression reading as near-magical. What responsibility does entertainment media bear for public misconceptions?
- If microexpression training doesn't improve real-world lie detection, should law enforcement agencies continue purchasing it?