Cross-Device Ad Playback Continuation via Active Viewing Monitoring
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Solution Overview
Problem
Current advertising systems fail to accurately account for the duration of user attention to advertisements across multiple devices, leading to inefficiencies in ensuring that viewers have an effective 'impression' for a given length of time, which is crucial for tracking ad effectiveness and ensuring payment validity.
Innovation Solution
A computer-implemented method and system that monitors user viewing activity across devices, continuing advertisement playback until a target impression time is met by tracking user presence and attention using sensors, and seamlessly transitioning playback across devices based on user travel paths and device availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advertisement playback is monitored across multiple devices to ensure accurate impression tracking, then measurement precision of viewing duration is improved, but device complexity increases due to cross-device coordination requirements
Solution Approach 1:
The system implements continuous feedback loops where each device reports viewing status to a central server, which then adjusts playback across devices. The server receives viewing duration data from multiple devices and provides feedback control signals to maintain accurate cumulative impression tracking, resolving the contradiction by using feedback mechanisms to manage system complexity while improving measurement precision.
Solution Approach 2:
The system creates a universal advertisement management platform that handles multiple functions: tracking viewing duration, coordinating playback across devices, storing user profile data, and managing advertisement delivery. This multi-functional approach consolidates complexity into a single system while enabling precise cross-device measurement, addressing the contradiction by making the system universally capable rather than device-specific.
2Reliability
If advertisement playback continues across multiple devices until target impression time is met, then reliability of ad delivery is improved, but loss of time increases due to extended playback duration
Solution Approach 1:
The system segments the advertisement delivery process across multiple devices, dividing the total required impression time into portions that can be fulfilled by different devices. Each device contributes a segment of the total viewing duration, allowing the system to guarantee reliable delivery while minimizing the total time any single user is exposed to the advertisement by distributing it across their device usage patterns.
Solution Approach 2:
The system dynamically adjusts playback continuation based on real-time viewing data. Rather than fixed-duration playback on each device, the system monitors actual viewing time and dynamically determines whether to continue playback on subsequent devices, optimizing the balance between ensuring reliable impression delivery and minimizing unnecessary time loss.
3Measurement precision
If user viewing activity is monitored in real-time across devices, then measurement precision of active viewing is improved, but use of energy increases due to continuous monitoring operations
Solution Approach 1:
The system employs periodic monitoring intervals rather than continuous real-time tracking. Devices check viewing status at defined intervals and report to the server periodically, maintaining sufficient measurement precision for determining active viewing while significantly reducing energy consumption compared to continuous monitoring. This periodic approach balances precision requirements with energy efficiency.
Solution Approach 2:
The monitoring system leverages existing device sensors and operating system capabilities that already track user activity and device state. Rather than implementing separate dedicated monitoring hardware or continuous software processes, the system utilizes self-service data from the device's own sensors and activity logs, reducing additional energy consumption while maintaining measurement precision.
Data Source
AI summary
A computer-implemented method comprising: presenting, by a computing device, an advertisement on a first device; monitoring, by the computing device, viewing activity by a user of the advertisement, wherein the monitoring comprises tracking an amount of time that the user actively views the advertisement on the first device; and continuing, by the computing device, playback of the advertisement on one or more second devices until the user has actively viewed the advertisement for a target impression time based on the monitoring.