Peripheral Stimuli Without Explanation Can Improve Steering Maneuvers of Human Drivers in Degraded Visual Conditions
Authors
A method is presented for enhancing the steering maneuvers of human drivers using peripheral visual information generated based on the vehicle’s lateral positions on the road. Human drivers control vehicles mainly using visual feedback information received from the road. However, such feedback may sometimes become degraded due to various reasons. On the other hand, recent advances in sensory technologies make it possible to detect vehicle behavior on the road quite stably. In this paper, we investigate a way to compensate such impaired feedback using artificial visual stimuli. A series of LED devices were installed in the car’s doors to display the stimuli. We designed three types of illumination patterns (flow, position, and width conditions) that react to the current lateral position of the vehicle. Simulated driving studies were conducted to evaluate the effect of each pattern on the driver’s control of the vehicle. As a result, we found that the presenting the artificial visual stimuli without explanation could significantly reduce inappropriate steering maneuvers in the degraded feedback situations.
Research Questions / Practical Problems
Question signals indexed for this paper.
- 100%
Chase Lights in the Peripheral View: How the Design of Moving Patterns on an LED Strip Influences the Perception of Speed in an Automotive Context
CHI '20· Head-Up Display (HUD) & Advanced Driver Assistance Systems (ADAS) +1
- 100%
Interaction with a 3D Surface for an Innovative Input Experience on a Central Console
AutoUI '24· Head-Up Display (HUD) & Advanced Driver Assistance Systems (ADAS) +1
- 80%
A Framework for Adapting In-Car Touchscreen Interfaces to Driver Behaviors, Perception, and Cognition
CHI '26· Automated Driving Interface & Takeover Design +2
- 80%
From Awareness to Intent: Mitigating Silent Driving System Failures through Prospective Situation Awareness Enhancing Interfaces
CHI '26· Automated Driving Interface & Takeover Design +2
- 80%
MIRAGE: Enabling Real-Time Automotive Mediated Reality
CHI '26· Automated Driving Interface & Takeover Design +2
- 75%
Little Road Driving HUD: Heads-Up Display Complexity Influences Drivers’ Perceptions of Automated Vehicles
CHI '21· Head-Up Display (HUD) & Advanced Driver Assistance Systems (ADAS)
- 75%
Reducing the Attentional Demands of In-Vehicle Touchscreens with Stencil Overlays
AutoUI '18· In-Vehicle Haptic, Audio & Multimodal Feedback
- 75%
The Effect of Road Bumps on Touch Interaction in Cars
AutoUI '18· In-Vehicle Haptic, Audio & Multimodal Feedback
- 75%
Evaluating Head-Up Displays across Windshield Locations
AutoUI '19· Head-Up Display (HUD) & Advanced Driver Assistance Systems (ADAS)
- 75%
Effects of Focal Plane Distance on Perceptual Distance Matching with an Automotive AR-HUD
AutoUI '23· Head-Up Display (HUD) & Advanced Driver Assistance Systems (ADAS)
Based on Jaccard similarity of research subtopics & professions (≥60%)