# Hacking Nonverbal Communication Between Pedestrians and Vehicles in   Virtual Reality

**Authors:** Henri Schmidt, Jack Terwilliger, Dina AlAdawy, Lex Fridman

arXiv: 1904.01931 · 2019-04-04

## TL;DR

This study uses virtual reality to manipulate vehicle trajectories and analyze how pedestrians interpret non-verbal cues, revealing that social signals can be engineered and influence crossing decisions.

## Contribution

It introduces a novel virtual reality methodology to systematically hack and study non-verbal communication cues between pedestrians and vehicles.

## Key findings

- Pedestrians use vehicle kinematics to infer social intentions.
- Engineered vehicle trajectories can alter pedestrian perception and behavior.
- Virtual reality enables detailed study of social signaling in pedestrian-vehicle interactions.

## Abstract

We use an immersive virtual reality environment to explore the intricate social cues that underlie non-verbal communication involved in a pedestrian's crossing decision. We "hack" non-verbal communication between pedestrian and vehicle by engineering a set of 15 vehicle trajectories, some of which follow social conventions and some that break them. By subverting social expectations of vehicle behavior we show that pedestrians may use vehicle kinematics to infer social intentions and not merely as the state of a moving object. We investigate human behavior in this virtual world by conducting a study of 22 subjects, with each subject experiencing and responding to each of the trajectories by moving their body, legs, arms, and head in both the physical and the virtual world. Both quantitative and qualitative responses are collected and analyzed, showing that, in fact, social cues can be engineered through vehicle trajectory manipulation. In addition, we demonstrate that immersive virtual worlds which allow the pedestrian to move around freely, provide a powerful way to understand both the mechanisms of human perception and the social signaling involved in pedestrian-vehicle interaction.

## Full text

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## Figures

18 figures with captions in the complete paper: https://tomesphere.com/paper/1904.01931/full.md

## References

18 references — full list in the complete paper: https://tomesphere.com/paper/1904.01931/full.md

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Source: https://tomesphere.com/paper/1904.01931