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Microsoft Teams AI may soon identify the most engaged participants

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Microsoft has created a new artificial intelligence tool that will inform Teams users if participants are involved. The AI ​​solution, dubbed AffectiveSpotlight, will use a neural network to analyze facial expressions and determine how individuals are responding to the speaker.

In initial studies, AffectiveSpotlight received a positive response from the speakers, with many confirming that they felt better about speaking when the software was working. Members of the public, however, did not notice any difference in the quality of the presentation whether the AI ​​was in operation or not.

“The ability to monitor audience reactions is critical in delivering presentations,” explained the Microsoft research team. “However, video conferencing platforms currently offer limited solutions to support this functionality.

This work takes advantage of recent advances in detection and to capture and facilitate communication with relevant audience signals. AffectiveSpotlight works by classifying expressions into common human emotions, including sadness, happiness or surprise, and even has an eyebrow detection system to detect confusion.

Microsoft Teams AI may soon identify the most engaged participants

All expressions are rated between 0 and 1, with positive responses that receive the highest score. At 15-second intervals during a call, the participant from the Teams with the highest score is presented to the presenter.

Microsoft has been working hard to add new features to Teams throughout the COVID-19 pandemic, including renewing its storage system and making it easier for us to share files with colleagues. Other online collaboration tools have launched similar improvements, with competition heating up as companies continue to rely on digital tools to enable remote operation.

Whether AffectiveSpotlight makes a big difference for Teams users or not, AI is likely to play an increasingly important role in the workplace, so it wouldn’t be surprising if added to other collaboration tools.

Source: Techradar

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