Video Entity Cards for In-Playback Term Explanation
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Solution Overview
Problem
Users watching videos on unfamiliar topics may encounter difficulty understanding content due to unfamiliar keywords or concepts, leading to frustration and potential abandonment of the video.
Innovation Solution
A computer-implemented method using machine learning to identify entities likely to be searched by users, generating entity cards with descriptive content that are displayed synchronously with the video, providing quick information without requiring users to pause or navigate away.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users pause the video to search for unfamiliar terms, then they can obtain information about the terms, but the video playback is interrupted and user experience deteriorates
Solution Approach 1:
The system performs preliminary actions by automatically generating entity cards with descriptions of unfamiliar terms before the user needs to search for them. These cards are prepared in advance and made available during video playback, eliminating the need for users to pause and search manually.
Solution Approach 2:
Entity cards serve as an intermediary between the video content and the user. Instead of directly searching for term definitions, users receive curated information through these intermediate cards that appear alongside the video, mediating the information delivery process.
2Loss of information
If users perform searches for unfamiliar terms, then they can understand the content better, but spelling errors lead to inaccurate search results
Solution Approach 1:
The system performs self-service by automatically identifying unfamiliar terms and generating accurate entity cards without requiring user input. The system autonomously handles term recognition, information retrieval, and presentation, eliminating spelling errors and inaccurate searches that occur with manual user attempts.
Solution Approach 2:
The system uses feedback from analyzing user behavior patterns and video content to continuously improve term identification accuracy. By monitoring which terms users struggle with and adjusting the entity card generation accordingly, the system refines its understanding and reduces errors over time.
3Loss of information
If entity cards are displayed for every mentioned entity, then user understanding is enhanced, but device complexity and computational resources increase
Solution Approach 1:
Instead of uniformly providing entity cards for all mentioned entities, the system applies local quality by selectively generating cards only for terms that are actually unfamiliar to users. The information delivery is customized and localized to specific user needs rather than applied universally, reducing unnecessary complexity.
Solution Approach 2:
The system performs partial action by providing entity cards for only the most critical unfamiliar terms rather than all possible terms. This selective approach delivers sufficient information to enhance understanding without the excessive complexity of comprehensive term coverage.
4Ease of operation
If users stop watching the video due to difficulty understanding content, then they avoid frustration, but they lose the benefit of the video content
Solution Approach 1:
The system prepares entity cards in advance for all potentially unfamiliar terms before the user encounters them during video playback. This preliminary preparation ensures that understanding aids are immediately available when needed, preventing user frustration and dropout by proactively addressing comprehension barriers.
Data Source
AI summary
A computer-implemented method includes: receiving a video and implementing one or more machine-learned models to: identify a plurality of entities from the video, rank the plurality of entities, and generate, based on the rank of the plurality of entities, a first entity card which includes descriptive content relating to a first entity from among the plurality of entities. The first entity corresponds to one or more entities which are ranked highest among the plurality of entities. The method further includes: providing, for presentation on a display device, the video; and providing, for presentation on the display device while the video is being played, the first entity card, in response to the first entity being mentioned in the video.