Autonomous Driving Anxiety-Reduction Timing Using Route Positions
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Solution Overview
Problem
Conventional information presentation methods for autonomous vehicles fail to provide anxiety reduction information at appropriate times, especially when physiological indices remain unchanged or when the vehicle's movement does not change, such as when a user is far from an anxiety-inducing factor or when the vehicle's behavior does not alter.
Innovation Solution
An autonomous driving vehicle system that includes a vicinity sensor, information presentation device, and control unit to detect anxiety-inducing factors, collect anxiety start positions, and present anxiety reduction information at predetermined positions before the user encounters these factors, using road and vehicle information to determine optimal presentation times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If anxiety reduction information is presented based on physiological index changes, then information can be presented when the user experiences anxiety, but anxiety reduction information cannot be presented when physiological index remains unchanged (e.g., when user is far from anxiety factor)
Solution Approach 1:
The system performs preliminary action by presenting anxiety reduction information before the user actually experiences anxiety. The control unit determines to present information when the autonomous driving vehicle approaches an anxiety factor position, even before physiological changes occur. This proactive approach ensures information is available when needed while avoiding the limitation of only detecting anxiety after it starts.
2Reliability
If information is presented only when vehicle behavior changes, then information can be tied to specific events, but information cannot be presented when vehicle behavior remains constant (e.g., steady cruising)
Solution Approach 1:
The system uses feedback by continuously monitoring the autonomous driving vehicle's position relative to anxiety factor positions stored in advance. The control unit determines whether to present information based on this continuous feedback loop, comparing current position with pre-stored anxiety factor locations. This allows the system to present information appropriately regardless of whether the vehicle is accelerating, decelerating, or maintaining constant speed.
3Adaptability or versatility
If multiple types of information are presented simultaneously, then comprehensive support is provided, but user stress may increase due to information overload
Solution Approach 1:
The system applies local quality by tailoring the information presentation to the specific situation and user state. The control unit selects appropriate information from multiple types (anxiety reduction information, situation information, notification information) based on the current context - whether the vehicle is approaching an anxiety factor, what the user's physiological state is, and what behavior changes are occurring. This selective presentation provides comprehensive support while avoiding information overload.
Data Source
AI summary
An autonomous driving vehicle includes a vicinity sensor, an information presentation unit, an operation unit, a collection unit to previously collect an anxiety start position based on the experiment participant's operation on the operation unit along a route, and a control unit to control operation of the autonomous driving vehicle based on road information, vehicle information, vicinity detection information, and the anxiety start position. The control unit sets a presentation start position, as a position where the information presentation unit is made to start presenting anxiety reduction information, before the anxiety start position in the route of autonomous traveling with a user riding therein, and makes the information presentation unit start the presentation of the anxiety reduction information when the autonomous driving vehicle with the user riding therein reaches the presentation start position.