Tagged Driving Event Feedback System for Instructor Integration
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Solution Overview
Problem
Current driving test systems fail to effectively incorporate a driving instructor's observations into feedback provided to student drivers, as automated processes do not allow for the instructor's comments to be reflected in reports, leading to inefficient and inaccurate feedback.
Innovation Solution
A system that includes devices and on-board computers equipped with sensors and user input capabilities, allowing instructors to generate 'tagged driving events' during a driving session, which are then incorporated into driving session reports to provide enhanced feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated data collection systems are used to record driving session data, then data collection efficiency is improved, but the ability to incorporate instructor observations and comments is lost
Solution Approach 1:
The system merges automated sensor data collection with manual instructor input by providing a user interface that allows instructors to enter observations and comments that are then integrated with automated data. The processor combines both data sources into a unified driving session report, ensuring neither automated efficiency nor human observation is lost.
Solution Approach 2:
The user interface acts as an intermediary between the automated data collection system and the instructor's observations. It provides mechanisms (text inputs, selection fields) for instructors to input their assessments, which are then processed and merged with automated sensor data by the processing system.
2Measurement precision
If comprehensive feedback incorporating instructor observations is provided, then feedback accuracy is improved, but report complexity increases
Solution Approach 1:
The system segments feedback into distinct categories: automated sensor measurements and manual instructor observations. Each category is presented separately in the report with clear labeling, allowing comprehensive feedback while maintaining organizational structure that prevents overwhelming complexity.
Solution Approach 2:
The system adds a new dimension to the report by incorporating a temporal/spatial mapping feature that shows where and when driving events occurred along the driving route. This dimensional addition provides context for observations without significantly increasing overall report complexity.
Data Source
AI summary
Tagged driving events may be generated during a driving session from sensor data collected via one or more sensors and/or entered by an instructor. The tagged driving events may include a description of each driving event and its associated severity or weight as it relates to a scoring process as well as a time and/or a location of the driving event. A driving session report may be generated using the tagged driving events and may include a driver feedback score that is weighted based on the severity associated with each of the tagged driving events and/or the collected data, a map of the driving session route that indicates a map location of each tagged driving event, and/or a listing of each tagged driving event. The driving session report may be displayed such that a user may select a tagged driving event to view information associated with the tagged driving event.