Contextual Content Overlay for Digital Media Playback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Viewers of digital entertainment media, such as TV shows and films, often struggle to recall characters, objects, and locations due to the extended time between installments, which can detract from the viewing experience and cause distraction.
Innovation Solution
A computer-implemented method that detects names in media components, identifies associated entities, and retrieves contextual data to provide supplemental content for display, enhancing user understanding and engagement by offering timely information about characters, objects, and locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If supplemental content is provided to enhance viewer understanding, then viewer engagement is improved, but viewer distraction increases
Solution Approach 1:
The system provides supplemental content selectively based on local conditions - detecting when specific entities are mentioned in the media and providing contextually relevant information only at those moments, rather than continuously. This localized approach enhances understanding of specific characters, objects, or locations without creating constant distraction.
Solution Approach 2:
The system monitors media playback and detects entity mentions in real-time, using this feedback to trigger supplemental content delivery. This feedback mechanism ensures content is provided only when relevant to the current context, improving engagement while minimizing unnecessary distraction.
2Loss of information
If contextual information is provided in real-time, then viewer understanding is enhanced, but system complexity increases
Solution Approach 1:
The system uses an intermediary processing layer that detects entity mentions in media and retrieves pre-prepared contextual information from a database. This intermediary approach simplifies the overall system by separating the detection, retrieval, and delivery functions, making the complexity manageable while still providing real-time contextual enhancement.
Solution Approach 2:
Contextual information about entities is pre-prepared and stored in a database before media playback. When an entity is detected during playback, the system simply retrieves the pre-prepared information rather than generating it in real-time, reducing computational complexity while maintaining real-time responsiveness.
3Adaptability or versatility
If supplemental content is delivered continuously, then viewer engagement is maintained, but information overload occurs
Solution Approach 1:
The system applies partial action by providing supplemental content only when entities are mentioned in the media, rather than continuously. This selective approach maintains viewer engagement with relevant information while avoiding information overload by omitting unnecessary content during periods when no entities are being discussed.
Data Source
AI summary
A computer-implemented method includes detecting a name occurring in a component of a media playing on a first user endpoint device. The component is contained within an electronic signal. An entity in the media that is associated with the name is identified, and stored data that is contextually related to the entity is retrieved. The data is then formatted as supplemental content for display to a user of the first user endpoint device.