Vehicle Data Consent Prompting via Activity Analysis
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Solution Overview
Problem
Existing technologies for obtaining user consent regarding vehicle history data are inefficient and do not effectively utilize user activity information to prompt consent in optimal situations.
Innovation Solution
A system comprising a server and a terminal device that obtains user consent for disclosing vehicle history data to a third party. The server determines whether to prompt for consent based on the vehicle's history data and user activity information, such as intentions to sell the vehicle or regular maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If consent prompts are transmitted frequently to all users, then the likelihood of obtaining consent may increase, but user annoyance and system resource consumption increase
Solution Approach 1:
The system performs preliminary analysis of user activity information and vehicle history data before transmitting consent prompts. By pre-evaluating whether conditions are favorable for consent acquisition (e.g., user recently viewed vehicle details, vehicle is listed for sale), the system transmits prompts only in appropriate contexts, avoiding unnecessary transmissions that would increase complexity and user annoyance.
2Productivity
If consent prompts are transmitted only in specific situations, then system resource consumption decreases, but the opportunity to obtain consent is reduced
Solution Approach 1:
The system continuously monitors user activity information and vehicle status data as feedback mechanisms. When specific conditions are detected (e.g., user views vehicle detail page, vehicle is marked for sale, maintenance records show positive history), the system triggers consent prompt transmission. This feedback-driven approach ensures prompts are sent in situations with higher probability of success, maintaining high consent acquisition rates while avoiding unnecessary transmissions.
3Reliability
If user activity information is analyzed in detail to determine prompt timing, then consent acquisition effectiveness improves, but information processing requirements increase
Solution Approach 1:
The system applies different levels of analysis to different types of user activity information based on their relevance to consent acquisition. High-priority indicators (e.g., user viewing vehicle details, visiting sales pages) trigger immediate prompt transmission, while lower-priority data requires less intensive processing. This localized quality approach focuses computational resources on the most impactful data points, improving effectiveness without proportionally increasing energy consumption.
Data Source
AI summary
A system includes a server including a controller. The controller is configured to obtain information regarding consent or non-consent of a user of a vehicle to disclosure of history data of the vehicle to a third party, and determine, when determination is made that consent of the user is not obtained, whether to transmit a signal that prompts for obtaining consent of the user, based on at least one of the history data of the vehicle and user activity information of the user.