Zoom video communications, inc. (20240187269). Recommendation Based On Video-based Audience Sentiment simplified abstract

Recommendation Based On Video-based Audience Sentiment

Organization Name

zoom video communications, inc.

Inventor(s)

Vi Dinh Chau of Seattle WA (US)

Recommendation Based On Video-based Audience Sentiment - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240187269 titled 'Recommendation Based On Video-based Audience Sentiment

Simplified Explanation

• • Simplified Explanation:**

The patent application focuses on analyzing video data of audience reactions to a speaker during a conference to determine sentiment types and engagement levels, providing real-time recommendations for the speaker based on the audience's reactions.

• • Key Features and Innovation:**
• Video data processing to detect and recognize audience reactions to a speaker.
• Determination of sentiment types based on the recognized reactions.
• Calculation of an engagement level based on aggregated sentiment types.
• Real-time recommendation output for the speaker based on the engagement level.

• • Potential Applications:**

This technology can be applied in conference settings, educational environments, and public speaking engagements to enhance speaker performance and audience engagement.

• • Problems Solved:**

The technology addresses the challenge of understanding audience reactions and sentiment towards a speaker in real-time, allowing for immediate feedback and improvement opportunities.

• • Benefits:**
• Improved speaker performance based on audience feedback.
• Enhanced audience engagement and satisfaction.
• Real-time recommendations for speakers to adjust their presentation.

• • Commercial Applications:**
• "Real-Time Audience Engagement Analysis System for Conferences and Events"
• This technology can be utilized by event organizers, educational institutions, and public speakers to optimize audience interaction and overall presentation effectiveness.

• • Prior Art:**

There may be existing technologies related to sentiment analysis and audience engagement, but the real-time aspect of this system sets it apart from traditional methods.

• • Frequently Updated Research:**

Stay updated on advancements in sentiment analysis algorithms and real-time data processing techniques to enhance the performance of the system.

• • Questions about Real-Time Audience Engagement Analysis:**
  • Question 1:** How does the system differentiate between positive and negative audience reactions?

The system uses sentiment analysis algorithms to categorize audience reactions based on emotional cues and facial expressions, allowing it to distinguish between positive and negative sentiments accurately.

• • Question 2:** Can the real-time recommendations be customized based on the speaker's preferences or goals?

Yes, the system can be programmed to consider specific criteria or objectives set by the speaker to tailor the recommendations accordingly.

Original Abstract Submitted

video data from audience participants reacting to a speaker participation during a conference is obtained. the video data is processed to detect and recognize reactions based on a speaker presentation. sentiment types are determined for the recognized reactions in view of a context of the speaker presentation. an engagement level is determined based on aggregated sentiment types for the audience participants. a real-time recommendation output is presented based on the engagement level. the real-time recommendation output provides suggestive actions for the speaker participant based on a positive or negative engagement level.