Evaluating the Impact of Decals on Driver Stereotype Perception and Exploration of Personalization of Automated Vehicles via Digital Decals
Authors
Traffic behavior and its perception is shaped by various factors such as vehicle color or size. Decals are used to express information about the owner’s beliefs or are intended to be funny. In the future, with external displays on (automated) vehicles, individualized customization could be even more pronounced. While some research looked at the messages these decals convey, it is unclear how these decals influence the perception of surrounding drivers on the operator of the vehicle. We gathered data on decals in 29 cities in 8 countries. A thematic analysis unveiled 17 dominant themes among decals. Subsequently, we investigated effects of decals of 9supra-regional common themes in an online study (N=64) finding that participants attributed different characteristics to the driver of a vehicle with a decal based on the type of decal and the participants’ country of origin. Additionally, a Virtual Reality study (N=16)revealed diverse opinions on future usage of such personalization options.
Research Questions / Practical Problems
Question signals indexed for this paper.
- 67%
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
- 67%
A Taxonomy of Vulnerable Road Users for HCI Based On A Systematic Literature Review
CHI '21· External HMI (eHMI) — Communication with Pedestrians & Cyclists
- 67%
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
- 67%
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
- 67%
Exploring the Impact of Interconnected External Interfaces in Autonomous Vehicles on Pedestrian Safety and Experience
CHI '24· External HMI (eHMI) — Communication with Pedestrians & Cyclists
- 67%
Running into Traffic: Investigating External Human-Machine Interfaces for Automated Vehicle-Runner Interaction
CHI '26· External HMI (eHMI) — Communication with Pedestrians & Cyclists
- 67%
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
- 67%
Evaluating Autonomous Vehicle External Communication using a Multi-Pedestrian VR Simulator
UbiComp '24· External HMI (eHMI) — Communication with Pedestrians & Cyclists
- 67%
A Field Study Of Pedestrians And Autonomous Vehicles
AutoUI '18· External HMI (eHMI) — Communication with Pedestrians & Cyclists
- 67%
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%)