17643078. AI-BASED PRESENTER SELECTION FOR WEB CONFERENCE simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

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AI-BASED PRESENTER SELECTION FOR WEB CONFERENCE

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Hemant Kumar Sivaswamy of Pune (IN)

Sri Harsha Varada of Vizianagaram (IN)

Ramesh Naidu Yamalapalli of Visakhapatnam (IN)

Tirumala Vasu Padisetti of Visakhapatnam (IN)

AI-BASED PRESENTER SELECTION FOR WEB CONFERENCE - A simplified explanation of the abstract

This abstract first appeared for US patent application 17643078 titled 'AI-BASED PRESENTER SELECTION FOR WEB CONFERENCE

Simplified Explanation

The abstract describes a method, computer system, and computer program for using artificial intelligence to oversee virtual meeting presentations. The system receives a stream of a virtual meeting and a hindrance update from the computer controlling the screen sharing. This hindrance update is then input into a machine learning model, which provides a recommendation on whether to switch the screen sharing control. If the recommendation suggests switching, a control switching signal is sent to another computer participating in the meeting.

  • The system uses artificial intelligence to oversee virtual meeting presentations.
  • It receives a stream of the meeting and a hindrance update from the screen sharing control computer.
  • A machine learning model analyzes the hindrance update and provides a recommendation on whether to switch screen sharing control.
  • If the recommendation suggests switching, a control switching signal is sent to another computer in the meeting.

Potential Applications

  • Virtual meeting platforms can use this technology to improve the quality and efficiency of presentations.
  • Companies and organizations can benefit from more effective virtual meetings with better oversight and control.

Problems Solved

  • Lack of oversight in virtual meetings can lead to poor presentation quality and inefficiency.
  • It can be challenging to identify hindrances in real-time during virtual meetings.
  • Switching screen sharing control manually can be time-consuming and disruptive.

Benefits

  • Artificial intelligence-based oversight can help improve the quality and effectiveness of virtual meeting presentations.
  • Real-time analysis of hindrances allows for prompt action to address issues.
  • Automated control switching reduces the need for manual intervention, saving time and minimizing disruptions.


Original Abstract Submitted

A method, computer system, and a computer program product for artificial intelligence-based virtual meeting presentation oversight are provided. A stream of a virtual meeting having a first computer designated for screen sharing control is received. A broadcast hindrance update from the first computer is received. The broadcast hindrance update is input into a machine learning model. As output from the machine learning model a recommendation regarding switching of the screen sharing control is received. In response to the receiving and to the recommendation indicating that the screen sharing control should be switched, a control switching signal is sent to a second computer participating in the virtual meeting.

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