Save for the Macarena, the most aggravating dance a human can perform is that thing where you’re walking down the street and have to out-maneuver a pedestrian who’s texting. At first, it seems like they’re going to crash into you. Then they finally look up from their phone, at which point you have to figure out who’s going to swerve left or right. You both swerve left and realize that won’t work, so you both swerve right, and that goes on and on until you finally get mad enough to yell at them.
Call it the Smartphone Six-Step. Grab your partner, do-si-do, and toss them into the street.
We’ve all danced that infuriating dance, but now scientists have shown just how big of a mess a phone-distracted pedestrian can make not just for you but for a crowd at large. Researchers at the University of Tokyo and Nagaoka University of technology news set up “bidirectional flow experiments” in which two groups of 27 people (one team wearing yellow beanies, the other wearing red) walked head-on. In each experiment, one of the groups included three people looking at smartphones. The researchers placed these distracted walkers either at the front, middle, or back of the pack, while cameras above tracked everyone’s routes and speeds.
In a control experiment in which no one was distracted, the researchers observed a previously described phenomenon known as lane formation: As the two groups made contact, people arranged themselves in two or three columns. That is, it wasn’t that one group flowed neatly in one direction and the other group flowed in the other, forming two big lanes. If you look at it from above, the intermingling crowds instead look like stripes of a flag—a single column of red hats, then a single column of yellow hats, then another column of red hats, and so on. People in a crowd, then, tend to fall into a follow-the-leader formation, allowing the pedestrians at the front of the crowd to cut a path through the approaching humans.
Each crowd has some leaders in front, and each of these is scanning the movements of their counterparts headed in the other direction to avoid collision. This interaction between leaders is known as mutual anticipation. “If it is me and you, at the same time I try to predict where you will be in the future, and you try to predict where I will be in the future,” says University of Tokyo computer scientist Claudio Feliciani, coauthor of a new paper describing the experiments in the journal Science Advances. Basically, you’re making split-second assumptions about how that person will behave and how you should respond appropriately. “And that’s the mechanism that makes it possible to have this kind of collective pattern formation,” Feliciani adds.
If you’re lost in your phone, though, this interpersonal relationship—however fleeting—breaks down. The person who’s approaching you is monitoring your movements and anticipating your behavior, but you’re not reciprocating. You’re adrift, and that means the people following behind you are as well. When you finally make contact with a person in the approaching crowd, you fall into the Smartphone Six-Step, and the effects of that hesitation ripple back through your followers like a multicar pileup.
Feliciani and his colleagues proved this using their beanie-wearing volunteers. In the experiments, the phone-distracted pedestrians placed at the front of a crowd slowed everyone behind them. The distracted leaders couldn’t negotiate that subtle yet complex nonverbal interaction with their counterpart at the head of the approaching group. So if you look at the trajectories of how a red-hatted, phone-reading individual walked, instead of the neat flag-stripe lanes of a normal crowd, there’s just a jumbled mess of red-hatted people all over the place. (See the mess play out below.) Indeed, the researchers found that the distracted pedestrian’s aloofness would throw off the behavior of their yellow-hatted counterpart, who was actually paying attention, screwing up the efficiency of the other group.
But the researchers didn’t see the same effect when the distracted pedestrians were placed in the middle or the rear of the crowd. That’s because, even while distracted, the pedestrians were able to play follow-the-leader with the person in front of them—they had a body they could track, even with their faces buried in their phones. “When they are distracted, the people behind also get lost,” Feliciani says. “The people behind, if they’re distracted it’s not that important, because they can somehow follow the others.”
So a distracted pedestrian is either consciously or unconsciously eyeing the blob that is the person in front of them. But are they also aware of the people to their left or right? “I think so, but actually we have no data,” says University of Tokyo cognitive scientist Hisashi Murakami, lead author on the new paper. “I’m planning to conduct the next experiment, where we ask participants to wear eye-tracking gear.” That way, the researchers will be able to monitor where individuals are gazing in the crowd.
This work “is remarkable in the sense that it highlights the important role of a previously ignored aspect—the attention of the pedestrians—on the formation of a collective pattern,” says behavioral scientist Mehdi Moussaid of the Max Planck Institute for Human Development, who studies crowd dynamics but wasn’t involved in the research. Clearly, a person with their eyes on their phone is largely blind to the complex dynamics of the crowd. “At the scale of a single individual, the effect is minor,” Moussaid says. “But when looking at the collective, this behavior creates significant perturbation of the pattern. It’s interesting to notice how just a few individuals can affect the collective.”
The utility of this research isn’t to shame instigators of the Smartphone Six-Step (though that is very much my objective here). “We think mutual anticipation is also important in other self-organizing systems, like animal groups and also swarm robotics,” says Murakami.
Imagine that sometime in near the future you’re strolling down the street, and instead of a person approaching, it’s a robot. You and another human would easily negotiate such a pass-by via mutual anticipation, although in cognitive science terms it’s hard to put a finger on exactly how you do so. We know part of the mechanism is visual, but there’s also something there that’s hard to describe. Maybe it’s that city dwellers have learned a kind of cognitive code for navigating this. “What is mutual anticipation based on?” asks Nagaoka University of technology news cognitive scientist Yuta Nishiyama, a coauthor on the paper. “We don’t know.”
Also, this dynamic may well play out differently in different cultures: Nishiyama and his colleagues did this work in Japan, where pedestrians might behave differently than they do in China or the United States or Europe, for instance, perhaps by forming lanes in different ways.
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That’ll all make it quite difficult to teach robots how to master mutual anticipation—we may have to customize them so they don’t infuriate the pedestrians of a given country. They may be able to see an approaching human, sure, but how will they signal that they’ll choose to pass to the left or right? We humans do that with an intricate kind of juking, but a wheeled robot can’t do the same. Maybe they’ll have to visually signal some other way, like with a turn signal.
After all, adapting a flashing, obvious sign of intent has made it safer to drive cars. And it’s worth noting that cardinal rule of car traffic: no looking at your phone.
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