Dynamic Group Chat Backgrounds Using Topic-Based Content Retrieval
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Group communication platforms lack the ability to dynamically and automatically provide relevant content to participants based on the conversation topic, leading to a lack of engagement and relevance in discussions.
Innovation Solution
A method that determines the topic of a group communication session using natural language processing, searches repositories for relevant content, and displays it to participants, allowing for dynamic updates of the conversation environment with content such as images and speech indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If group chat platforms provide static background images, then the visual environment is established, but the content becomes irrelevant to ongoing discussions
Solution Approach 1:
The patent transforms static background images into dynamic, automatically updating content that adapts to conversation topics. The system continuously monitors chat topics and retrieves relevant content from repositories, replacing static visuals with dynamic, context-aware images and media that evolve with the discussion.
Solution Approach 2:
The system performs automatic topic detection and content retrieval without manual intervention. The chat platform itself searches repositories for relevant content based on analyzed conversation topics, eliminating the need for users to manually search or update background content.
2Productivity
If manual content searching is required, then users can find relevant content, but time is lost and engagement decreases
Solution Approach 1:
The system pre-organizes content in repositories with metadata and relationships to potential topics. When a conversation occurs, the system quickly matches topics to pre-categorized content, eliminating the need for users to manually search through unrelated material.
Solution Approach 2:
The system continuously analyzes conversation topics and automatically retrieves relevant content based on this feedback. The topic detection mechanism provides real-time feedback about what is being discussed, triggering automatic content updates that keep the visual environment synchronized with the conversation.
3Ease of operation
If dynamic content updates are implemented, then engagement is improved, but computational resources and system complexity increase
Solution Approach 1:
The system divides content retrieval into separate, manageable repositories organized by topic categories. This segmentation allows the system to efficiently search only relevant portions of content stores based on detected topics, reducing computational overhead while maintaining dynamic content updates.
Data Source
AI summary
A method, executed by a computer, for displaying dynamic content in a group communication environment includes determining a topic of a communication session having multiple participants, searching repositories for content corresponding to the topic, determining the participants' identities, retrieving the content, and enabling the participants to view the content. In some embodiments, the content is an image containing a face of a participant, and a speech indicator is displayed at the face of each participant as they comment in the communication session. In some embodiments, the relationship between the topic and the content is predefined. The topic of the communication session may be determined using natural language processing techniques. A computer program product and computer system corresponding to the above method are also disclosed herein.