Embedded Cognitive-State Metrics for Biosignal Content Personalization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies lack a streamlined mechanism for enabling third parties to wirelessly request and receive cognitive state user data for personalized digital content delivery.
Innovation Solution
A system and method that utilizes biosignal detectors to collect bioelectrical signal data, generate cognitive state metrics, and transmit this data to third parties for personalized content delivery, incorporating an interface, receiver, and communications module for seamless data exchange.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If biosignal detectors and data collection systems are implemented, then cognitive state data can be collected for personalized content delivery, but device complexity and implementation difficulty increase
Solution Approach 1:
The patent introduces a fourth party as an intermediary that hosts the interface and processes data collection requests from third parties. This mediator manages the complexity of biosignal data collection and processing, allowing third parties to access cognitive state data through simplified API calls without directly implementing complex biosignal detection systems themselves.
Solution Approach 2:
The interface provided by the fourth party serves multiple functions: it receives requests from various third parties, manages data collection from multiple users, processes cognitive state metrics, and delivers personalized content. This multi-functional interface reduces the need for each third party to implement their own complete data collection and processing infrastructure.
2Speed
If cognitive state data is collected and processed in real-time, then personalized content can be delivered during user interaction, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary data collection and cognitive state metric generation during natural user interactions with content, before personalized content delivery is needed. By continuously collecting biosignal data and processing it in the background, the system prepares cognitive state profiles in advance, enabling rapid personalized content delivery when requested without experiencing processing delays at the moment of delivery.
3Adaptability or versatility
If an interface is provided for third parties to request cognitive state data, then content personalization is enabled, but system architecture and coordination complexity increase
Solution Approach 1:
The fourth party acts as an intermediary layer between third parties and the biosignal data collection infrastructure. The interface hosted by the fourth party abstracts the complexity of direct system coordination, providing third parties with simple request-response mechanisms while the fourth party handles the complex tasks of data collection, processing, and coordination with biosignal detectors in the background.
Data Source
AI summary
An embodiment of a method for enabling content personalization for a user based on a cognitive state of the user includes providing an interface configured to enable a third party to request cognitive state data of the user as the user interacts with a content-providing source; establishing bioelectrical contact between a biosignal detector and the user; automatically collecting a dataset from the user; generating a cognitive state metric; receiving a request from the third party for cognitive state data; transmitting the cognitive state data to the third party device; and automatically collecting a dataset from the user as the user engaged tailored content.