VISUAL COLLABORATION SYSTEM AI COPILOT FOR IDEA GENERATION

Smart overview of the Invention

A system is designed to enhance collaborative brainstorming by integrating an artificial intelligence (AI) chat interface within a visual collaboration template. Each participant in the brainstorming session can access a brainstorming canvas on their display device. The template allows for natural language commands to be inputted, which the system processes to generate contextually relevant AI responses that are displayed back to participants.

Need for AI Integration

Current visual collaboration tools, like Microsoft Whiteboard™, enable participants to share and develop ideas together. However, there is a gap in effectively utilizing AI suggestions in these collaborative environments. This system addresses that need by providing a seamless way for participants to interact with AI, thereby enriching the brainstorming process with intelligent suggestions and insights.

Functionality of the System

The system comprises several components that work together to facilitate collaboration. It includes a collaboration template generator that provides each participant with a brainstorming canvas and an AI chat interface. When a participant inputs a natural language command, it is combined with context prompts and sent to an AI system, which returns relevant responses that are then displayed on the brainstorming canvas.

User Experience Enhancements

Participants can engage with the AI through both a chat interface and direct interactions on the brainstorming canvas. The system allows users to enter commands, receive suggestions, and select predefined options that trigger additional AI responses. This interactive model enhances ideation by allowing participants to visualize ideas and integrate them into their collaborative efforts seamlessly.

Contextual Data Utilization

The system leverages contextual information from various external sources to enhance its functionality. This includes participant data, project-specific details, and organizational context. By utilizing this information, the AI can provide more tailored suggestions that align closely with the specific needs and dynamics of the collaborative project, ultimately improving the quality of ideas generated during brainstorming sessions.