VR-OOM: Virtual Reality On-rOad driving siMulation
Authors
Researchers and designers of in-vehicle interactions and interfaces currently have to choose between performing evaluation and human factors experiments in laboratory driving simulators or on-road experiments. To enjoy the benefit of customizable course design in controlled experiments with the immediacy and rich sensations of on-road driving, we have developed a new method and tools to enable VR driving simulation in a vehicle as it travels on a road. In this paper, we describe how the cost-effective and flexible implementation of this platform allows for rapid prototyping. A preliminary pilot test (N = 6), centered on an autonomous driving scenario, yields promising results, illustrating proof of concept and indicating that a basic implementation of the system can invoke genuine responses from test participants.
Research Questions / Practical Problems
Question signals indexed for this paper.
- 100%
A Video-Based Automated Driving Simulator for Automotive UI Prototyping, UX and Behaviour Research
AutoUI '19· Automated Driving Interface & Takeover Design +1
- 75%
What a Driver Wants: User Preferences in Semi-Autonomous Vehicle Decision-Making
CHI '20· Automated Driving Interface & Takeover Design
- 75%
Is Too Much System Caution Counterproductive? Effects of Varying Sensitivity and Automation Levels in Vehicle Collision Avoidance Systems
CHI '20· Automated Driving Interface & Takeover Design
- 75%
DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data
CHI '21· Automated Driving Interface & Takeover Design
- 75%
All-inclusive TORs: Cross-Cultural and Age-Sensitive Design for Take-Over Requests in Level 3 Cars
CHI '25· Automated Driving Interface & Takeover Design
- 75%
Improving Take-Over Quality in Automated Driving By Interrupting Non-Driving Tasks
IUI '19· Automated Driving Interface & Takeover Design
- 75%
The Real T(h)OR: Evaluation of Emergency Take-Over on a Test Track
AutoUI '19· Automated Driving Interface & Takeover Design
- 75%
No Risk No Trust: Investigating Perceived Risk in Highly Automated Driving
AutoUI '19· Automated Driving Interface & Takeover Design
- 75%
Who Has The Right of Way, Automated Vehicles or Drivers? Multiple Perspectives in Safety, Negotiation and Trust
AutoUI '19· Automated Driving Interface & Takeover Design
- 75%
Need for Trust Calibration in Takeover request Performance in Level 3 Automated vehicles
AutoUI '25· Automated Driving Interface & Takeover Design
Based on Jaccard similarity of research subtopics & professions (≥60%)