Media Device Content Personalization via User Presence Detection
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Solution Overview
Problem
Existing electronic media devices lack the ability to personalize and customize digital content based on user presence and identification, often displaying generic content regardless of whether a user is present, leading to an unengaging experience.
Innovation Solution
A system that includes a media device with a discovery module to identify users in its vicinity, a builder module to personalize content by assigning relevance scores based on metadata and user preferences, and a rendering module to display personalized content on a display device, switching to generic content when the user is no longer present.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If generic content is displayed on the media device, then the device can provide content presentation functionality, but the content is not personalized or customized for a particular user
Solution Approach 1:
The system pre-configures multiple user profiles with associated preferences, metadata, and content settings before users arrive. When a user is detected, the system quickly retrieves and applies the pre-prepared profile data, enabling instant personalization without complex real-time processing. This preliminary preparation resolves the contradiction by having adaptation readiness in advance.
Solution Approach 2:
The system creates simplified copies of user profiles and their associated metadata that can be rapidly instantiated when needed. Instead of generating personalized content from scratch, the system uses template-based profile copies that capture essential personalization attributes, enabling fast adaptation with reduced computational complexity.
2Adaptability or versatility
If user identification and personalization processing is implemented, then content can be customized for present users, but the processing time and computational resources increase
Solution Approach 1:
The system implements differential processing where only the specific profile attributes relevant to the current context and user are retrieved and applied, rather than processing entire profile datasets. This selective local processing of relevant metadata and preferences significantly reduces processing time while maintaining effective personalization.
Solution Approach 2:
User profiles and their metadata are pre-processed and organized into easily queryable formats during off-peak times. This preliminary organization enables rapid retrieval and application of personalization data when users are present, minimizing real-time processing delays.
3Measurement precision
If the media device monitors user presence continuously, then it can detect when users are present to provide personalized content, but energy consumption increases
Solution Approach 1:
The system uses periodic sensing with variable intervals, performing user presence detection at scheduled intervals rather than continuously. The detection frequency adapts based on device state and environmental context, maintaining accurate user presence monitoring while significantly reducing overall energy consumption compared to continuous monitoring.
Solution Approach 2:
The system leverages passive data sources such as existing network traffic patterns, device usage metadata, and environmental sensors that already operate independently to infer user presence. This self-service approach to presence detection utilizes existing system operations without requiring dedicated high-power monitoring hardware or continuous active sensing.
Data Source
AI summary
The subject technology provides for customizing or personalizing and presenting content based on user presence and identification. The disclosed techniques may include obtaining, at a media device, identification information of a present user, who is present in a predefined space around the media device, and determining whether the identification information of the present user is associated with identification information pre-configured at the media device. Based on a determination that the present user's identification information is associated with the device user's identification information, sending a content request to a data source for digital content related to the present user. The requested digital content may be received and personalized at the media device. A personalized portion of the digital content may be provided from the content pool for rendering using an output device.