Driving Behavior Recommendation Prioritization for Vehicle Users
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Solution Overview
Problem
Existing systems that recommend items to vehicle users based on driving behaviors often overwhelm users with multiple recommendations, leading to user annoyance and decreased engagement with driving diagnosis features.
Innovation Solution
An information processing device and method that acquire driving information, extract predetermined behaviors, determine a single recommended item based on the degree of deviation from standard driving states, and transmit this information to the user's terminal, thereby reducing the number of recommended items and enhancing user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple items are recommended to users based on driving behaviors, then comprehensive coverage of driving issues is improved, but user annoyance increases and engagement decreases
Solution Approach 1:
The patent extracts only the most significant driving behavior issue from multiple detected behaviors, presenting a single prioritized recommendation rather than overwhelming users with all detected issues. This selective extraction maintains comprehensive analysis while improving user experience by focusing on the most critical deviation from standard driving.
Solution Approach 2:
The system changes the parameter of recommendation quantity from multiple items to a single item, and introduces a prioritization parameter based on degree of deviation. This transforms the recommendation system from a comprehensive but overwhelming list to a focused, prioritized suggestion that maintains reliability while improving ease of operation.
2Measurement precision
If all detected driving behavior deviations are addressed with recommendations, then thorough diagnosis is improved, but system complexity increases
Solution Approach 1:
The patent extracts only the top-priority driving behavior deviation from the complete set of detected behaviors, reducing the output from comprehensive to selective. This maintains thorough diagnostic capability while simplifying the recommendation system by focusing resources on the most significant issue.
Solution Approach 2:
The system segments the comprehensive driving behavior analysis into prioritized levels, with only the highest-priority deviation receiving a recommendation. This segmentation allows thorough diagnosis to occur internally while presenting a simplified, less complex output to users.
3Loss of information
If multiple recommendations are provided to users, then completeness of information is improved, but user annoyance increases
Solution Approach 1:
The patent extracts the single most important driving behavior deviation from the complete information set, presenting only the critical issue that requires user attention. This extraction maintains information completeness for diagnostic purposes while reducing user annoyance by eliminating overwhelming multiple recommendations.
Solution Approach 2:
The system changes the information presentation parameter from multiple recommendations to a single prioritized recommendation, transforming complete but overwhelming information into focused, actionable advice that reduces user annoyance while maintaining diagnostic completeness.
Data Source
AI summary
An information processing device includes a processor configured to execute: acquiring information related to driving of a user of a vehicle during a predetermined period; extracting one or more predetermined behaviors according to the acquired information related to the driving; determining one or more first items to be recommended to the user according to degrees of deviation from standard states of the one or more predetermined behaviors corresponding to the respective extracted one or more predetermined behaviors; and transmitting information related to the first items to a terminal of the user.