It’s not exactly news that whether you’re asking someone out, pitching a business plan, or running for office, your audience responds not just to what you say but also to the way you say it. Speak with confidence and people will think you know what you’re talking about. Act thrilled to be chatting with someone and you often meet enthusiasm in return. “All these folk theories about how people work are to a fair degree true,” says Alex (Sandy) Pentland, MIT’s Toshiba Professor of Media Arts and Sciences and director of the Media Lab’s Human Dynamics Research Group. In his new book, Honest Signals, he explores just how these nonverbal cues work and how understanding them could make life better.
Using data collected by wearable sensors that he and his students designed, Pentland has measured subtle behaviors that are difficult to suppress or fake–signals like unconsciously mirroring someone’s gestures and varying (or maintaining) the volume and emphasis of your speech. These signals, he writes, operate independently of language to “change other people’s impressions of your attention, trust, interest, and focus,” even if they’re too slight to notice at a conscious level. They make up a type of communication that evolved to help ancient humans coördinate group activity, he says, and ignoring their influence can be a big mistake.
Pentland found that out firsthand when he served on a board of directors with a group of unusually smart, powerful people. “We made terrible decisions,” he says. “People would say things with passion and conviction, and other people would just say, ‘Yes, it must be true!’ There was too much charisma in the room.” If only there were a “warning light,” he thought, that could flag the social signals likely to inspire such unthinking assent. His “sociometers” now pick up these and other signals that define the roles people play in social groups. These roles influence human interactions profoundly, both for better and for worse–so profoundly that the outcome of an encounter can often be predicted just by analyzing them.
Difficult though it is to fake specific signals, people can consciously choose a new role to play–for example, by acting more like a coöperative teammate than a dominant leader. Once you’re “in character,” you might naturally start, say, mimicking the smiles or nods of someone you’re negotiating with. And not only will those signals encourage the other person to trust you more, but sending them actually makes you feel more trusting yourself. Sociometer data can offer feedback to help people send more desirable signals, Pentland says. He’s even developed what his wife has dubbed a “jerk-o-meter,” which nudges men to pay attention to what their spouses are saying.
Electronically monitoring such basic interactions may seem like a weirdly technocratic approach to social life, but Pentland sees himself as “putting humanity back on the table” in environments like business and government, where there’s a tendency to pay attention only to what can be measured. “We have this separate channel of communication that we’ve been trying to ignore for a very, very long time,” he says. “Now we can quantify it.”
Geoffrey Hinton tells us why he’s now scared of the tech he helped build
“I have suddenly switched my views on whether these things are going to be more intelligent than us.”
ChatGPT is going to change education, not destroy it
The narrative around cheating students doesn’t tell the whole story. Meet the teachers who think generative AI could actually make learning better.
Meet the people who use Notion to plan their whole lives
The workplace tool’s appeal extends far beyond organizing work projects. Many users find it’s just as useful for managing their free time.
Learning to code isn’t enough
Historically, learn-to-code efforts have provided opportunities for the few, but new efforts are aiming to be inclusive.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.