Multiple Road User Role (mRUR) Drivers

The impact of Predominant RUR on Road Sharing Behaviors

Introduction

This study evaluates driving behavior patterns of four road users types: Pedestrians, Bicyclists, Motorcyclists and Electric-Scooterists. Drivers participating in the study have various levels of experience with each of these methods of active transportation, illuminating how platform experience influences driving behavior and mobility.

The Team

Principal Investigators

Linda Hill School of Medicine
Benjamin Bergen Cognitive Science

Senior Researchers

Colleen Emmenegger UCSD Design Lab
Deborah Forster Contextual Robotics Institute
Atefeh Katrahmani UCSD Design Lab

Research Assistants

Chenyang Dawn Ye UCSD Design Lab
Cang Le UCSD Design Lab

L3-MPRI PatrolSimIV Driving Simulator

This simulator has software to simulate pedestrians, skateboards, and other vehicles like motorcycles and trucks moving with the ability to move at various speeds and velocities as needed.

Measuring Road Sharing Behaviors

Data captures from the simulator (braking time, velocity, absolute coordinates, etc), and the eye tracker (reaction time, saccades, fixation time, and fixation points) will be used to illuminate any patterning in road sharing behaviors. In post simulator engagement, participants will be interviewed using auto-confrontation methods.

Published Work

Simulator Study Design Multiple Road User Role (mRUR) Drivers’ Road Sharing Behavior

How, in the real-world, do people accomplish the tasks without the added automation?

For an intervention being implemented, how is the introduction and implementation being planned?

How are people being trained? And so on.

A place where interdisciplinary teams of students, faculty and affiliated researchers explore the future of mobility and healthcare through a unique combination of People-Centered Design, Distributed Cognition and Pragmatic Speculative Design.

Automation Playground
UCSD Design Lab
9500 Gilman Dr, La Jolla, CA 92093
cemmenegger@ucsd.edu