AR Riding Course Control for Personal Mobility Safety
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Solution Overview
Problem
Personal mobility systems (PM systems) face operational challenges and safety risks due to limited controls, lack of performance feedback, and absence of obstacle detection or avoidance systems, exacerbated by the complexity of urban environments and user training deficiencies.
Innovation Solution
Integration of augmented reality (AR) wearable devices with PM systems to provide centralized telemetry data, navigation information, obstacle detection, and interaction with virtual objects, enhancing user experience and safety by modifying PM system performance based on proximity to virtual objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If additional controls and performance indicators are incorporated into PM systems, then user safety and operational capability are improved, but device complexity increases
Solution Approach 1:
The patent introduces an AR wearable device as an intermediary between the user and the PM system. This mediator displays performance indicators, navigation information, and obstacle warnings in the user's field of view without requiring additional physical controls on the PM system itself, thus improving safety while avoiding increased system complexity
Solution Approach 2:
The patent replaces traditional mechanical feedback indicators (LEDs, LCDs on the device) with optical/display-based AR feedback delivered through wearable glasses. This substitution eliminates the need for complex mechanical control interfaces while providing comprehensive performance feedback and safety information
2Reliability
If AR wearable devices provide comprehensive navigation and obstacle detection information, then user safety is improved, but cognitive burden increases
Solution Approach 1:
The patent applies local quality by selectively highlighting only relevant information in the user's field of view based on their current context - such as displaying obstacle warnings only when obstacles are detected in the immediate path, or showing navigation cues only at decision points. This targeted information delivery improves safety while minimizing unnecessary cognitive load from extraneous data
Solution Approach 2:
The system implements adaptive feedback by continuously monitoring user behavior, environmental conditions, and PM system performance to dynamically adjust the type, amount, and presentation of information displayed. This feedback mechanism ensures safety-critical information is always available while reducing non-critical information during low-risk periods, thereby managing cognitive burden
Data Source
AI summary
AR-enhanced gameplay includes a map of a course including a plurality of virtual objects, the map corresponding to a location in the real world and defining a track along which participants can ride on personal mobility systems such as scooters. Virtual objects are displayed in the fields of view of participants' augmented reality devices in a positions corresponding to positions in the real world on the course. Proximity of a participant or their personal mobility system with the position of a virtual object in the real world is detected, and in response to the detection of proximity, a performance characteristic of the participant's personal mobility system is modified.