Personalized Video Summaries for Enterprise Information Consumption
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Solution Overview
Problem
In an enterprise setting, accessing and reviewing information shared through various channels such as email, text messaging, and enterprise files can be time-consuming and overwhelming for employees, leading to the potential for missing important updates or information due to shorter attention spans and inefficient information consumption modes.
Innovation Solution
A networked environment generates personalized short-form videos or visual content that summarize informational topics based on user context and interest, using a recommendation model to identify relevant topics and generate videos up to two minutes and thirty seconds in length, which are ranked and presented to users for efficient information consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If employees access and review information through traditional channels (email, text messaging, enterprise files), then information sharing and communication are facilitated, but the process becomes time-consuming and overwhelming, leading to potential loss of important information
Solution Approach 1:
The system extracts key information from multiple communication channels (email, text messages, enterprise files) and presents only the essential content through AI-generated summaries and chatbot interactions, allowing employees to obtain critical information without reviewing entire message threads or documents
Solution Approach 2:
An AI-powered intermediary system is introduced between employees and information sources. This intermediary automatically processes, summarizes, and prioritizes information from various channels, presenting condensed insights to employees while maintaining access to original content when needed
2Loss of information
If comprehensive information is provided to employees through multiple channels, then information completeness is improved, but information consumption becomes overwhelming and inefficient
Solution Approach 1:
The system segments information by priority, relevance, and type, presenting different levels of detail to different users based on their roles and needs. Critical information is highlighted and separated from routine updates, allowing employees to consume information in manageable portions
Solution Approach 2:
The system dynamically adjusts information presentation parameters including summary length, detail level, and format based on user preferences, device type, and context. This allows the same information to be delivered in optimized forms for different consumption scenarios
3Loss of information
If detailed information is presented to employees, then information completeness is improved, but attention span requirements increase and engagement decreases
Solution Approach 1:
The information delivery system is dynamic and adaptive, adjusting content depth and format based on real-time user interactions, engagement metrics, and contextual cues. The system can expand or contract information detail based on user signals, maintaining engagement while ensuring completeness
Data Source
AI summary
Disclosed are various examples for to generating personalized user experiences in the form of short-form videos that summarize informational topics that are selected to present to a user according at least one of a user context or a user interest. As the informational topics are identified for a given user, the informational topics can be applied as inputs to a recommendation model that is trained to recommend one or more of the topics to summarize and present to a user in visual form based on at least one of the user context or the user interest. Once a topic is recommended by the recommendation model, a video or other type of visual content can be automatically generated and presented to a user to allow the user to consume the information in the summarized form.