Content Output Adjustment via Telemetry Feedback
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Solution Overview
Problem
Existing content delivery systems face challenges in identifying and resolving playback errors in user devices, such as distorted audio/video, stalled content, and suboptimal brightness/color, which are difficult to detect and require manual inspection and re-encoding, leading to time-consuming and resource-intensive solutions.
Innovation Solution
A system that collects telemetry data from user devices to determine adjustment data, which can automatically mitigate playback issues by triggering adjustments at the user device, such as adjusting volume or brightness, and sending adjustment codes with the content to resolve errors dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual inspection and re-encoding is used to fix playback errors, then playback quality is improved, but time consumption and resource usage increase significantly
Solution Approach 1:
The system implements feedback by collecting telemetry data from user devices experiencing playback errors, analyzing this data to identify error patterns, and automatically generating adjustment data (such as alternative encoding parameters or error correction codes) that is fed back to resolve the issues without manual intervention
Solution Approach 2:
The system enables self-service by allowing user devices to automatically receive and apply adjustment data that resolves playback errors locally, eliminating the need for manual inspection and re-encoding operations at centralized facilities
2Reliability
If manual inspection and re-encoding is used to fix playback errors, then playback quality is improved, but resource consumption increases significantly
Solution Approach 1:
The system implements feedback by collecting telemetry data from user devices experiencing playback errors, analyzing this data to identify error patterns, and automatically generating adjustment data (such as alternative encoding parameters or error correction codes) that is fed back to resolve the issues without manual intervention
Solution Approach 2:
The system enables self-service by allowing user devices to automatically receive and apply adjustment data that resolves playback errors locally, eliminating the need for manual inspection and re-encoding operations at centralized facilities
3Loss of time
If telemetry data collection and automatic adjustment is implemented, then time efficiency is improved, but system complexity increases
Solution Approach 1:
The system introduces an intermediary component that collects telemetry data from user devices, analyzes error patterns, and generates adjustment data. This intermediary layer handles the complexity of error analysis and adjustment generation, keeping the user device logic relatively simple while enabling automated error resolution
Solution Approach 2:
The system implements feedback by collecting telemetry data from user devices experiencing playback errors, analyzing this data to identify error patterns, and automatically generating adjustment data (such as alternative encoding parameters or error correction codes) that is fed back to resolve the issues without manual intervention
Data Source
AI summary
Telemetry data gathered based on content item output/playback may be used to determine/generate adjustment data that may improve the output/playback experience for future content item output/playback. The adjustment data may cause output/playback adjustments at/by an output device (e.g., a content output device, a content/media player, a client device, a mobile device, a smart device, etc.) to mitigate and/or resolve any output/playback issues caused by one or more errors associated with the content item.