Video Distribution System Using Nonverbal Feedback Sensors
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Solution Overview
Problem
Conventional video distribution systems fail to provide effective and timely feedback to video creators about viewer engagement and emotions, as text-based comments do not accurately reflect viewer emotions and create a delay between intended feedback and display, making it difficult to determine which actor behaviors attract attention.
Innovation Solution
A system that uses computer processors to distribute videos with animations of character objects, storing both verbal and nonverbal feedback information, including acceleration and biological data, associated with a time code, allowing for real-time analysis of viewer emotions and behavior, and generating digest videos and recommending other actors based on this feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If text-based comments are used for feedback, then interactivity is enhanced, but the feedback does not accurately reflect viewer emotions and creates a delay between intended feedback and display
Solution Approach 1:
The patent replaces text-based manual feedback input with automatic nonverbal feedback detection using sensors (acceleration sensors, biological information sensors) to capture viewer emotions and reactions, eliminating the need for text input operations and providing accurate emotion detection
Solution Approach 2:
The patent introduces nonverbal feedback information (acceleration data, biological information) as an intermediary between the viewer's emotional state and the feedback system, allowing emotions to be captured automatically without requiring the viewer to consciously input text comments
2Loss of information
If text input is required for comments, then feedback can be recorded, but there is a gap between the time at which a viewing user intends to make a comment and the time at which the posted comment is displayed
Solution Approach 1:
The patent replaces the manual text input mechanism with automatic sensor-based detection that continuously captures nonverbal feedback in real-time, eliminating the time gap between intention and display by automatically detecting and recording emotions as they occur
Solution Approach 2:
The patent implements continuous real-time detection of nonverbal feedback through sensors that operate throughout the video viewing process, ensuring that feedback is captured continuously without interruption or delay rather than relying on discrete text input events
3Loss of information
If text-based feedback is used, then viewer opinions can be collected, but it is difficult to infer the emotion or affect of the viewing user based on the feedback content
Solution Approach 1:
The patent substitutes text-based feedback collection with sensor-based nonverbal feedback detection that directly measures physiological and behavioral indicators of emotion (acceleration, biological information), providing objective emotion data rather than requiring interpretation of text content
Solution Approach 2:
The patent changes the feedback parameter from subjective text content to objective physiological parameters (acceleration values, biological information measurements), enabling direct and accurate emotion measurement without interpretation
4Productivity
If conventional video distribution systems are used, then videos can be distributed, but it is difficult to obtain useful feedback about the actor's performance from viewing users
Solution Approach 1:
The patent implements a feedback mechanism that uses nonverbal feedback information to provide actionable insights about actor performance, allowing video creators to understand which specific behaviors attracted viewer attention and improve future performances based on this data
Solution Approach 2:
The patent introduces nonverbal feedback information as an intermediary that bridges the gap between actor performance and viewer reaction, providing objective data about which performance elements were most engaging without requiring subjective text analysis
Data Source
AI summary
A video distribution system in one embodiment includes one or more computer processors. The one or more computer processors execute computer-readable instructions to distribute a video that includes an animation of a character object generated based on actor's behavior to a viewing user, and store actor information representing the actor's behavior and nonverbal feedback information representing nonverbal feedback about the video from the viewing user in association with a time code of the video. The nonverbal feedback information is detected by one or more user devices.


