AR Selection Assistant for Personal Transportation
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Solution Overview
Problem
Users face difficulties in selecting personal transportation options like bicycles or scooters that meet their specific requirements for travel, such as speed, maintenance, and comfort, due to the vast number of available options and varying conditions of the vehicles.
Innovation Solution
A cognitive augmented reality (AR) selection assistant system that uses IoT sensors and AR overlays to analyze the current state of available personal transportation, determine optimal selections based on user profiles and preferences, and provide real-time recommendations and adjustments to ensure a suitable ride.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually evaluate multiple personal transportation options to find one meeting their criteria, then they can select suitable transportation, but the process becomes time-consuming and complex for unknowledgeable users
Solution Approach 1:
The system enables self-service by allowing the personal transportation to self-report its state through IoT sensors and the AR system to automatically evaluate and recommend options, eliminating the need for users to manually assess each vehicle's condition
Solution Approach 2:
The AR imaging system acts as an intermediary between the user and the personal transportation options, translating complex sensor data into simple visual recommendations that guide users to suitable vehicles without requiring them to understand the underlying technical parameters
2Loss of information
If the system provides detailed analysis of multiple personal transportation options, then users can make informed selections, but the system complexity increases
Solution Approach 1:
The system segments the information processing by separating data collection (IoT sensors on vehicles), data analysis (server-side evaluation), and presentation (AR overlay) into distinct modules, allowing complex functionality while keeping the user interface simple
3Measurement precision
If the system monitors and analyzes the current state of personal transportation in real time, then it can provide accurate recommendations, but the energy consumption and processing requirements increase
Solution Approach 1:
The system performs partial analysis by focusing only on the most relevant state parameters for the user's stated needs (e.g., focusing on brake condition for safety-conscious users), rather than analyzing all possible vehicle attributes in full detail
Data Source
AI summary
A cognitive augmented reality selection assistant of a personal imaging system provides users with recommendations to best fit their needs in real time through AR overlay of the personal transportation. The personal imaging system allows real time input to be provided, including alterations to the personal transportation or recognition of possible faulty equipment associated with the personal transportation.