Autonomous Vehicle Motion Personalization Using Emotional Feedback
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Solution Overview
Problem
Autonomous vehicles lack the ability to dynamically adjust their motion characteristics in real-time based on the emotional state of users, leading to potential discomfort due to factors like anxiety, nausea, or frustration, which can negatively impact the travel experience.
Innovation Solution
The method involves detecting biosignals from users, such as heart rate and facial expressions, to identify changes in emotional states and correlating these with navigational characteristics like speed and trajectory, allowing the vehicle to modify its motion planning parameters to improve user comfort by adjusting parameters like obstacle avoidance distance and acceleration profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the autonomous vehicle uses fixed motion planning parameters, then the navigation efficiency is maintained, but the user comfort deteriorates due to inability to adapt to emotional states
Solution Approach 1:
The motion planning parameters are transformed from static fixed values to dynamic adjustable parameters that change in real-time based on detected user emotional states. The system continuously monitors biosignals and modifies navigation characteristics such as speed, acceleration, and obstacle avoidance distance dynamically during the trip.
Solution Approach 2:
A feedback loop is established where the system detects user emotional states through biosignals, correlates them with current navigational characteristics, and adjusts motion planning parameters accordingly. This closed-loop control enables the vehicle to respond to user comfort needs while maintaining navigation efficiency.
2Ease of operation
If the vehicle adjusts motion parameters frequently, then user comfort is improved, but energy consumption increases
Solution Approach 1:
The system applies motion parameter adjustments selectively rather than continuously, modifying parameters only when emotional state changes are detected that correlate with comfort degradation. This partial action approach avoids unnecessary energy consumption from constant parameter tuning while still addressing user comfort needs.
3Loss of time
If the vehicle maintains aggressive navigation characteristics, then trip duration is reduced, but user negative emotional responses increase
Solution Approach 1:
The system changes motion planning parameters such as speed, acceleration, and obstacle avoidance distance based on detected user emotional states. When negative emotions are detected, parameters are adjusted to reduce aggressive navigation characteristics, thereby decreasing harmful effects on user comfort while managing trip duration.
Data Source
AI summary
One variation of a method for customizing motion characteristics of an autonomous vehicle for a user includes: accessing a baseline emotional state of the user following entry of the user into the autonomous vehicle at a first time proximal a start of a trip; during a first segment of the trip, autonomously navigating toward a destination location according to a first motion planning parameter, accessing a second emotional state of the user at a second time, detecting degradation of sentiment of the user based on differences between the baseline and second emotional states; and correlating degradation of sentiment of the user with a navigational characteristic of the autonomous vehicle; modifying the first motion planning parameter of the autonomous vehicle to deviate from the navigational characteristic; and, during a second segment of the trip, autonomously navigating toward the destination location according to the revised motion planning parameter.