Information Processing for Targeted Vehicle Test-Drive Feedback
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Solution Overview
Problem
Existing technologies are inadequate in effectively collecting user feedback from test drivers to improve vehicle equipment usability.
Innovation Solution
An information processing apparatus that acquires operation data from vehicle equipment during test drives, identifies equipment with significant operation deviations from a reference value, and generates targeted questionnaires to gather user feedback on those equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If questionnaires are distributed to all test drivers, then response collection coverage is improved, but response quality and usability feedback effectiveness deteriorate due to lack of focus on actual usability issues
Solution Approach 1:
The patent applies local quality by shifting from uniform questionnaire distribution to targeted questioning. Instead of asking all test drivers the same questions, the system identifies specific equipment with abnormal operation patterns (local anomalies) and directs questions only to those areas. This is implemented by analyzing operation frequency data to locate equipment with deviations from normal usage patterns, then generating customized questionnaires focused on those specific equipment items.
Solution Approach 2:
The patent implements feedback by creating a closed-loop system where operation data is collected, analyzed to identify usability issues, questionnaires are generated based on identified issues, and feedback is collected to further improve the system. The feedback mechanism operates continuously: operation frequency data feeds into the analysis system, which generates targeted questionnaires, and the responses feed back into improving the vehicle equipment and future questionnaire generation.
2Quantity of substance
If operation data is collected for all equipment, then data completeness is improved, but processing complexity and identification of meaningful feedback deteriorate
Solution Approach 1:
The patent applies the extraction principle by filtering and isolating only the most meaningful operation data from the complete dataset. Instead of processing all equipment operation data equally, the system extracts and focuses on equipment showing abnormal operation patterns - those with operation frequencies significantly deviating from reference values. This extraction is achieved through comparative analysis that identifies outliers and anomalies in the operation data.
Solution Approach 2:
The patent implements segmentation by dividing the complete operation data into distinct categories based on equipment type and operation pattern. The system segments the data to identify specific equipment groups with abnormal usage patterns, allowing targeted processing of only relevant segments rather than treating all data uniformly. This segmentation enables more manageable and focused data processing while maintaining completeness where needed.
Data Source
AI summary
An information processing apparatus includes an acquisition interface configured to acquire information on a number of times an operation has been performed by a user on equipment of a vehicle for a test drive, and a controller configured to select first equipment having a predetermined difference between the number of times the operation has been performed and a reference value, and output first question information with respect to the first equipment.