Vehicle UI Feedforward Cues for Upcoming Maneuver Discomfort
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Solution Overview
Problem
Passengers in autonomous vehicles experience discomfort during sharp turns and other driving maneuvers due to lack of early cues, leading to discomfort and motion sickness.
Innovation Solution
A system that retrieves map data to extract feedforward cues indicating upcoming vehicle events, allowing passengers to anticipate and prepare for these events through a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous vehicles perform sharp turns and driving maneuvers autonomously, then driving efficiency and route adherence are improved, but passenger comfort deteriorates due to lack of early warning
Solution Approach 1:
The system extracts feedforward cues from map data to identify upcoming vehicle events before they occur. By presenting these cues to passengers in advance through the user interface, the system allows passengers to mentally prepare and adapt their activities, thereby reducing discomfort from sharp turns and maneuvers while maintaining autonomous driving efficiency.
2Device complexity
If the vehicle provides no advance information about upcoming maneuvers, then the user interface remains simple, but passenger experience deteriorates due to motion sickness
Solution Approach 1:
The system presents feedforward cues to passengers before upcoming vehicle events occur. These cues are extracted from map data and displayed through the user interface, allowing passengers to anticipate and prepare for maneuvers such as sharp turns, thereby reducing motion sickness without requiring complex real-time monitoring systems.
3Measurement precision
If the system processes real-time sensor data to predict upcoming events, then response accuracy is improved, but computational complexity and processing time increase
Solution Approach 1:
The system extracts feedforward cues from pre-stored map data covering the upcoming area in which the vehicle is to travel. This approach allows the system to identify upcoming vehicle events without requiring complex real-time sensor processing, thereby maintaining prediction accuracy while reducing computational complexity and processing time.
Data Source
AI summary
An approach is provided for presenting a feedforward cue in a user interface before an upcoming vehicle event occurs. The approach involves retrieving map data covering an upcoming area in which a vehicle is to travel. The approach also involves extracting a feedforward cue from the map data, wherein the feedforward cue preemptively indicates an upcoming vehicle event that can have an effect on an experience that a user has while engaged in a non-driving activity in the vehicle. The approach further involves providing data for presenting the feedforward cue in a user interface before the upcoming vehicle event occurs.


