Personal Transport Feedback Control for Prosocial Yielding
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Solution Overview
Problem
There is a need for an improved system and method to provide real-time feedback to users of personal transport devices based on prosocial behavior to encourage them to consider the actions of others in shared mobility environments, reducing conflicts and negative effects.
Innovation Solution
A system and method that detects objects on the path using a camera and sensors, calculates prosocial yielding behavior parameters, and provides real-time feedback through visual, haptic, or audio alerts, or adjusts speed and steering to encourage positive behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time feedback system is implemented to monitor and provide feedback on prosocial behavior, then user awareness and prosocial behavior improvement are enhanced, but device complexity and computational requirements increase
Solution Approach 1:
The system continuously monitors user behavior through sensors (speed, distance, position) and provides real-time feedback when prosocial behavior thresholds are not met. The feedback loop includes detection of objects/pedestrians, calculation of behavior parameters, comparison against thresholds, and delivery of alerts or notifications to the user, creating a closed-loop control system that improves behavior through continuous monitoring and feedback.
Solution Approach 2:
The processor acts as an intermediary between raw sensor data and user feedback. It receives data from multiple sensors, calculates prosocial behavior parameters, compares them against thresholds, and generates appropriate feedback signals. This intermediary processing layer simplifies the overall system architecture by centralizing the decision-making logic.
2Reliability
If continuous monitoring and real-time feedback are provided to users, then prosocial behavior is improved, but energy consumption increases
Solution Approach 1:
The system performs monitoring and feedback provision periodically rather than continuously. The processor calculates prosocial behavior parameters at regular intervals or when triggered by sensor events (e.g., when an object is detected or when speed changes). This periodic operation reduces computational load and energy consumption while maintaining effective behavior monitoring and feedback.
3Reliability
If the system provides detailed real-time feedback and adjusts speed/steering, then user safety and prosocial behavior improve, but ease of operation decreases
Solution Approach 1:
The system applies partial automation by providing feedback and recommendations rather than fully automatic control. It monitors user behavior and provides alerts or notifications when thresholds are not met, allowing the user to maintain control while receiving guidance. This partial action approach improves safety through monitoring and feedback while preserving user ease of operation by not removing manual control.
Data Source
AI summary
A method and system for implementing real-time feedback to a user of a personal transport device, such as an electric scooter, based on prosocial behavior is provided. In one embodiment, the method includes detecting at least one object located on a path on which the personal transport device is traveling and calculating a prosocial yielding behavior parameter associated with the at least one object and the personal transport device. The method also includes comparing the calculated prosocial yielding behavior parameter to a threshold value and, based on the comparison of the calculated prosocial yielding behavior parameter to the threshold value, providing real-time feedback to the user of the personal transport device.