AI-Integrated TV Social Ticker for Anonymous Poll Aggregation
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Solution Overview
Problem
There is a lack of a system that allows for social media interaction to be displayed on a TV screen as a ticker overlay during programming, and also collects and aggregates data from users engaged in such interactions.
Innovation Solution
A system comprising a social media server, user computing devices, and TVs that display a ticker showing social media interaction between users, with the server sending poll requests and collecting anonymous input data for aggregation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If social media interaction is displayed on TV screen as ticker overlay during programming, then user engagement and entertainment value are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system divides the TV display into separate functional zones: the main program area and the ticker overlay area. This segmentation allows social media interactions to be displayed in a dedicated strip without interfering with the primary content, enabling enhanced user engagement while maintaining system manageability through spatial separation of functions.
Solution Approach 2:
The ticker overlay system serves multiple functions simultaneously: displaying real-time social media interactions, showing poll results, presenting user comments, and maintaining program information. This multi-functionality approach consolidates various engagement features into a single integrated component, improving versatility while controlling complexity through functional consolidation.
2Loss of information
If real-time social media interactions are collected and aggregated from multiple users, then data value and analytics capability are improved, but data processing load and privacy management complexity increase
Solution Approach 1:
The system extracts and displays only essential interaction elements in the ticker overlay, such as brief comments, poll results, and interaction counts, while processing and storing complete data sets separately. This extraction approach maximizes data value for analytics while simplifying the display burden and reducing the complexity of real-time processing by separating display requirements from data collection requirements.
Solution Approach 2:
The system introduces an intermediary processing layer between data collection and display that aggregates, anonymizes, and filters user interactions before presentation in the ticker. This intermediary layer protects user privacy by removing personally identifiable information while preserving interaction patterns and trends, thereby managing privacy complexity without sacrificing data analytical value.
Data Source
AI summary
Described is a social media ticker system. The system may include a social media server having a memory storing various data, a first user computing device coupled to the server and a first TV and a second user computing device coupled to the server and a second TV. The first and second TVs are configured to display a ticker displaying interaction between the first and second user computing devices on a social media platform engaged with a social media server while watching the same particular program on the first and second TVs respectively. Further, the server may be programmed to send a poll request corresponding to what is displayed on the first and second TVs for input from the first and second user computing devices, wherein input responsive to the poll request is anonymous and is collected and aggregated on the social media server.