Interactive Presentation Conversion With Chatbot Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Electronic presentations lack interactive capabilities for information collection and feedback, requiring separate systems and manual processes for viewer input and feedback, limiting their functionality beyond passive viewing.
Innovation Solution
Convert electronic presentations into autonomous systems using a Presentation Interpretation System (PIS) to extract and index digital content, a Large Language Model System (LLMS) for feedback generation, and an Information Collection and Management System (ICMS) to store and analyze viewer interactions, integrating a Chatbot Component for user input and a Calendar and Scheduling Component for meeting coordination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If electronic presentations are kept as passive documents for viewing, then simplicity and ease of distribution are maintained, but interactivity and information collection capability are lost
Solution Approach 1:
The patent merges the presentation delivery function with information collection and feedback processing functions into a single integrated system. The presentation publisher system both delivers presentations and collects viewer inputs, processes feedback, and manages interactions, eliminating the need for separate manual systems for surveys, meetings, and feedback collection.
Solution Approach 2:
The presentation publisher system is designed to perform multiple functions: delivering presentations, collecting viewer inputs via chatbot, processing information through language models, scheduling meetings, and providing feedback. This multi-functional approach allows a single system to replace multiple separate tools that would traditionally be needed.
2Productivity
If separate systems are used for information collection and feedback, then presentation simplicity is maintained, but process efficiency and integration are reduced
Solution Approach 1:
The patent combines multiple separate information collection methods (surveys, feedback forms, meeting requests) into a single integrated presentation system. The chatbot component handles all viewer interactions through one interface, and the publisher system processes all feedback types through unified language model processing, improving efficiency by eliminating the need to manage multiple separate systems.
3Loss of time
If manual processes are used for viewer feedback and meetings, then system simplicity is maintained, but time consumption and labor requirements increase
Solution Approach 1:
The system implements automated feedback loops where viewer inputs are immediately processed by language models to generate responses, and meeting requests are automatically scheduled. This automated feedback mechanism eliminates manual processing delays, allowing the system to respond to viewer inputs in real-time without human intervention for routine tasks.
Solution Approach 2:
The presentation system provides self-service capabilities where the language model automatically generates feedback responses to viewer questions, and the scheduling component autonomously coordinates meeting times without requiring manual intervention from the publisher. This self-service approach significantly reduces the time and labor needed for feedback processing.
4Adaptability or versatility
If presentations lack autonomous interaction capability, then ease of distribution is maintained, but viewer engagement and discussion depth are limited
Solution Approach 1:
The language model acts as an intermediary between the presentation content and viewer questions. It processes viewer inputs, retrieves relevant information from the presentation, and generates appropriate responses, enabling deep discussions without requiring the presenter to be present. This intermediary capability allows the presentation to autonomously engage viewers in meaningful discussions.
Data Source
AI summary
Described are methods and systems to convert electronic presentation slides into autonomous information collection and feedback systems. An electronic presentation file is uploaded via a computer networks to a Presentation Interpretation System (PIS) where the text and other digital contents are extracted, catalogued, and indexed. The extracted digital contents are sent to a Large Language Model System (LLMS). A Chatbot Component is associated with the presentation so as to receive human input and provide relevant feedback from the LLMS. A Calendar and Scheduling Component may also be added to the presentation for users to schedule a meeting or discussion with the presentation publisher. The presentation digital content is stored on an Information Collection and Management System (ICMS) and is reconstituted with the associated Chatbot and Calendaring Components in a format viewable online, and is then provided to viewers from a web server.