Designing for Projection-based Communication between Autonomous Vehicles and Pedestrians
Authors
Recent studies have investigated new approaches for communicating an autonomous vehicle's (AV) intent and awareness to pedestrians. This paper adds to this body of work by presenting the design and evaluation of in-situ projections on the road. Our design combines common traffic light patterns with aesthetic visual elements. We describe the iterative design process and the prototyping methods used in each stage. The final design concept was represented as a virtual reality simulation and evaluated with 18 participants in four different street crossing scenarios, which included three scenarios that simulated various degrees of system errors. We found that different design elements were able to support participants' confidence in their decision even when the AV failed to correctly detect their presence. We also identified elements in our design that needed to be more clearly communicated. Based on these findings, the paper presents a series of design recommendations for projection-based communication between AVs and pedestrians.
Research Questions / Practical Problems
Question signals indexed for this paper.
- 100%
The Effects of Explicit Intention Communication, Conspicuous Sensors, and Pedestrian Attitude in Interactions with Automated Vehicles
CHI '20· External HMI (eHMI) — Communication with Pedestrians & Cyclists
- 100%
A Taxonomy of Vulnerable Road Users for HCI Based On A Systematic Literature Review
CHI '21· External HMI (eHMI) — Communication with Pedestrians & Cyclists
- 100%
Calibrating Pedestrians' Trust in Automated Vehicles: Does an Intent Display in an External HMI Support Trust Calibration and Safe Crossing Behavior?
CHI '21· External HMI (eHMI) — Communication with Pedestrians & Cyclists
- 100%
Effects of Pedestrian Behavior, Time Pressure, and Repeated Exposure on Crossing Decisions in Front of Automated Vehicles Equipped with External Communication
CHI '22· External HMI (eHMI) — Communication with Pedestrians & Cyclists
- 100%
Exploring the Impact of Interconnected External Interfaces in Autonomous Vehicles on Pedestrian Safety and Experience
CHI '24· External HMI (eHMI) — Communication with Pedestrians & Cyclists
- 100%
Running into Traffic: Investigating External Human-Machine Interfaces for Automated Vehicle-Runner Interaction
CHI '26· External HMI (eHMI) — Communication with Pedestrians & Cyclists
- 100%
My Eyes Speak: Improving Perceived Sociability of Autonomous Vehicles in Shared Spaces Through Emotional Robotic Eyes
MobileHCI '23· External HMI (eHMI) — Communication with Pedestrians & Cyclists
- 100%
Evaluating Autonomous Vehicle External Communication using a Multi-Pedestrian VR Simulator
UbiComp '24· External HMI (eHMI) — Communication with Pedestrians & Cyclists
- 100%
A Field Study Of Pedestrians And Autonomous Vehicles
AutoUI '18· External HMI (eHMI) — Communication with Pedestrians & Cyclists
- 100%
To Cross or Not to Cross: Urgency-Based External Warning Displays on Autonomous Vehicles to Improve Pedestrian Crossing Safety
AutoUI '18· External HMI (eHMI) — Communication with Pedestrians & Cyclists
Based on Jaccard similarity of research subtopics & professions (≥60%)