Measuring and using interactivity in video conferencing

A method comprising:

• detecting, at a computer comprising a processor, a request to initiate a video conference;
• identifying, by the processor, two client devices that are to be added to the video conference;
• triggering, by the processor, a signaling server to establish the video conference with the two client devices, wherein the two client devices generate, exchange, and receive media content with one another via a video conferencing service;
• obtaining, by the processor, quality of experience metric data associated with the video conference, wherein the quality of experience metric data defines an interactivity associated with the video conference and is based on observable behavior associated with the video conference, wherein the quality of experience metric data is generated at the computer by analyzing an audio and video stream associated with the video conference by detecting repeated phrases, overlapping speech, and a silence time ratio using machine learning that is trained on simulated video conferences;
• determining, by the processor and based on the quality of experience metric data, if a projected quality of experience associated with the video conference satisfies a defined quality of experience measure;
• and
• if a determination is made that the projected quality of experience associated with the video conference does not satisfy the defined quality of experience measure,
• determining, by the processor, a change to be made to the video conference to improve the projected quality of experience,
• generating, by the processor, a command that, when executed, causes a recipient to make the change, and
• sending, by the processor, the command to the recipient.

A computer storage medium having computer-executable instructions stored thereon that, when executed by a processor, cause the processor to perform operations comprising:

• detecting a request to initiate a video conference;
• identifying two client devices that are to be added to the video conference;
• triggering a signaling server to establish the video conference with the two client devices, wherein the two client devices generate, exchange, and receive media content with one another via a video conferencing service;
• obtaining, at a computer, quality of experience metric data associated with the video conference, wherein the quality of experience metric data defines an interactivity associated with the video conference and is based on observable behavior associated with the video conference, wherein the quality of experience metric data is generated at the computer by analyzing an audio and video stream associated with the video conference by detecting repeated phrases, overlapping speech, and a silence time ratio using machine learning that is trained on simulated video conferences;
• determining, based on the quality of experience metric data, if a projected quality of experience associated with the video conference satisfies a defined quality of experience measure;
• and
• if a determination is made that the projected quality of experience associated with the video conference does not satisfy the defined quality of experience measure,
• determining a change to be made to the video conference to improve the projected quality of experience,
• generating a command that, when executed, causes a recipient to make the change, and
• sending the command to the recipient.