Ad Frequency Modulation via Vehicle Risk Scoring
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Solution Overview
Problem
There is a need for technologies that can effectively reward safe driving behaviors while providing users with unrestricted access to media content, particularly in areas with poor cellular Internet service, and simultaneously improve driver safety by offering incentives for safe driving practices.
Innovation Solution
A system that collects sensor data from vehicles to determine a risk score, which is used to adjust the frequency and type of advertisements displayed based on safe or unsafe driving behaviors, allowing users to earn or lose points that can be redeemed for media access, thereby incentivizing safe driving and personalizing advertising content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If advertisements are displayed frequently to generate revenue, then advertising revenue increases, but driver safety deteriorates due to distraction
Solution Approach 1:
The advertisement display frequency is made dynamic by adjusting it based on real-time sensor data about driver behavior and vehicle operation. The system transitions from static frequent display to adaptive display that increases frequency during safe driving and decreases during risky behavior, resolving the contradiction between revenue generation and safety.
Solution Approach 2:
The system implements feedback loops where sensor data about driving behavior is continuously monitored and used to adjust advertisement display parameters. This closed-loop control ensures that advertising revenue is optimized while maintaining driver safety through real-time adjustments based on actual driving conditions.
2Reliability
If sensor data is collected and processed to determine risk scores, then driver safety improves through feedback, but device complexity increases
Solution Approach 1:
The system uses existing multi-functional components (sensors, processors, display systems) already present in modern vehicles for other purposes, repurposing them for safety monitoring and advertisement control. This avoids adding dedicated complex subsystems while achieving safety improvements.
Solution Approach 2:
The system leverages the vehicle's existing computational resources and sensor infrastructure to perform risk assessment and advertisement modulation autonomously, without requiring external processing servers or additional dedicated hardware, thereby minimizing the increase in device complexity.
3Productivity
If advertising frequency is increased to reward safe driving, then user engagement improves, but driver distraction increases
Solution Approach 1:
The advertisement display parameters are customized locally based on individual driver behavior patterns and vehicle context. The system adjusts content type, frequency, and presentation mode according to the specific driving situation and driver preferences, maximizing engagement while minimizing distraction through localized optimization.
Data Source
AI summary
Methods, systems, and apparatuses for presentation of advertising content during presentation of media content and based on data collected from vehicle sensors and a mobile device. Media content, such as stored songs, podcasts, or videos, may be presented to a user. Sensor data corresponding to operation of a vehicle may be collected, and a risk score based on operation of the vehicle may be determined. Based on the risk score, an advertising tier may be determined. The scope of media content available to a user and the frequency of presentation of advertising content during presentation of such media content may be based on the risk score. For example, safe driving behaviors may result in rewards which permit access to more media content, and/or safe driving behaviors may result in fewer advertisements being presented to a user on an in-vehicle display.