Decoding Facial Expressions and Behaviors

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Exploring the intricate skill of humans in interpreting facial cues and behaviors, and the potential for machines to replicate this ability through data analysis. Discussions on applying technology to analyze facial expressions for various purposes like early disease detection and personalized behavior suggestions. Delving into the complexities of interpreting facial expressions, micro expressions, body language mistakes, flirtatious signals, and the nuances of genuine versus fake smiles.

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What are some common techniques for quantifying body language? How hard is it to identify poker "tells"? Are there any facial expressions or body movements that have universal meaning? What can be discerned about group dynamics just from watching a meeting over video call? What are the most common body language mistakes people make when going on dates or trying to make friends? What are the strongest indicators of charisma? How do people signal their social status? What are the most effective ways to deal with trolls? How valid is the concept of micro-expressions?

Blake Eastman is the founder of The Nonverbal Group, a behavioral research and education company. With a focus on teaching high-level people skills, Eastman has coached executives and teams, and his company is building the world's largest database of contextually coded human interactions. He also founded Behavioral Robotics, an AI deep tech startup teaching machines to read human behavior, and he's known for conducting the largest behavioral study on poker players through his Beyond Tells project. Follow him on Instagram, Twitter / X, and LinkedIn; or email him at blake@nonverbalgroup.com.

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