Intent Communication between Autonomous Vehicles and Pedestrians
Milecia Matthews, Girish Chowdhary, Emily Kieson

TL;DR
This paper introduces an intent communication system for autonomous vehicles to effectively convey their intentions to pedestrians, enhancing safety and predictability in pedestrian-vehicle interactions.
Contribution
The paper presents a novel intent communication system that incorporates psychological insights and validates its effectiveness through field tests and simulations.
Findings
Humans react more positively to vehicles with the ICS.
142% increase in pedestrian trust with ICS and prior knowledge.
Effective communication reduces pedestrian uncertainty.
Abstract
When pedestrians encounter vehicles, they typically stop and wait for a signal from the driver to either cross or wait. What happens when the car is autonomous and there isn't a human driver to signal them? This paper seeks to address this issue with an intent communication system (ICS) that acts in place of a human driver. This intent system has been developed to take into account the psychology behind what pedestrians are familiar with and what they expect from machines. The system integrates those expectations into the design of physical systems and mathematical algorithms. The goal of the system is to ensure that communication is simple, yet effective without leaving pedestrians with a sense of distrust in autonomous vehicles. To validate the ICS, two types of experiments have been run: field tests with an autonomous vehicle to determine how humans actually interact with the ICS and…
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Taxonomy
TopicsSocial Robot Interaction and HRI · User Authentication and Security Systems · Human-Automation Interaction and Safety
