Mental State Detection for Conditional Auxiliary Information Delivery
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Solution Overview
Problem
Users often find it difficult to receive auxiliary information during media presentations, such as lectures or videos, when they are confused, interested, or bored, as they may be shy to ask questions or unable to pause the content to seek additional information in live or non-live settings.
Innovation Solution
A system that uses feedback components to detect a user's mental state during a media presentation and provides auxiliary information, such as clarifying or supplementary content, to the user's device in real-time, tailored to their individual traits and preferences, using a processor and memory to execute computer-executable components that analyze feedback and render appropriate information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users pause media presentation to seek additional information, then they can obtain clarifying content, but the presentation flow is disrupted and time is lost
Solution Approach 1:
The system performs preliminary action by detecting user confusion or interest states during the presentation and proactively providing auxiliary information before the user needs to pause or ask questions. The feedback component continuously monitors user state, and when confusion is detected, the system automatically retrieves and displays relevant auxiliary content, eliminating the need for users to interrupt the presentation flow to seek information.
Solution Approach 2:
The system implements feedback by using the feedback component to continuously monitor user mental states (confusion, interest, boredom) during the presentation. This real-time feedback triggers automatic adjustment of the presentation by providing auxiliary information when needed, creating a closed-loop system that adapts to user needs without disrupting the overall presentation flow.
2Loss of information
If users ask questions during live presentations, then they can clarify confusion, but other users may be embarrassed and the presenter's flow is interrupted
Solution Approach 1:
The system introduces an intermediary component (the auxiliary information delivery system) that mediates between the user's need for clarification and the presentation flow. Instead of users directly asking questions that interrupt the presenter, the system automatically detects confusion through feedback analysis and provides clarifying information through the user's device, acting as an intermediary that satisfies information needs without disrupting the presentation or requiring public questioning.
Solution Approach 2:
The system enables self-service by automatically detecting user confusion and providing auxiliary information without requiring users to verbally ask questions. The feedback component monitors user state, and when confusion is detected, the system autonomously retrieves and displays relevant auxiliary content on the user's device, allowing users to clarify their understanding privately and comfortably without interrupting the presentation or drawing attention to their confusion.
3Loss of information
If presenters provide detailed explanations for all users, then all users understand, but the presentation becomes too long and loses engagement
Solution Approach 1:
The system applies local quality by providing auxiliary information selectively to individual users based on their specific needs detected through feedback analysis, rather than providing uniform detailed explanations to all users. The system identifies which users are confused about which specific concepts and delivers targeted auxiliary content only to those users, allowing the main presentation to remain concise and engaging while still addressing individual understanding needs.
4Loss of information
If users receive auxiliary information during presentation, then their understanding improves, but the system complexity increases
Solution Approach 1:
The system applies universality by designing the feedback component and auxiliary information delivery mechanism to serve multiple functions: detecting user mental states (confusion, interest, boredom), analyzing feedback data, retrieving relevant auxiliary content, and delivering it through the user's device. This multi-functional approach consolidates what could be separate complex systems into an integrated solution that improves information retention without proportionally increasing overall system complexity.
Data Source
AI summary
Techniques for conditional presentation of auxiliary information are provided. In one example, a computer-implemented method comprises determining, by a device operatively coupled to a processor, feedback information for a user in response to a media presentation, wherein the feedback information is indicative of a mental state of the user during presentation of the media presentation. The computer-implemented method can further comprise determining content of the media presentation associated with the mental state of the user, and determining auxiliary information about the content based on the mental state of the user. The computer-implemented method can further comprise providing, by the device, the content to a user device during the presentation of the media presentation and for rendering at the user device in association with presentation of the content.