Reduce Meeting Fatigue with Microsoft Teams' "Hide for Me" Feature

Microsoft 365Microsoft 365 AdoptionMicrosoft TeamsSharePoint OnlineVideo Conferencing
Written By Dan Sanabria, Ph.D. (Candidate)

In today's digital workspace, video conferencing has become a staple. However, constantly viewing oneself during meetings can lead to increased self-awareness and fatigue. Microsoft Teams addresses this concern with the "Hide for Me" feature, allowing users to hide their self-view without turning off the camera.

What is the "Hide for Me" Feature?

The "Hide for Me" feature enables users to remove their own video feed from their view during a Teams meeting. Importantly, this action does not disable the camera; other participants can still see you. This functionality helps reduce distractions and self-consciousness, promoting a more comfortable meeting experience.

How to Use "Hide for Me"

To activate the "Hide for Me" feature during a Teams meeting:

  1. Hover over your video feed (the "Me" box).

  2. Click on the three-dot menu (...).

  3. Select "Hide for me".

Your video feed will collapse or move, depending on your gallery view, minimizing its presence on your screen.

To unhide your video:

  1. Click on the arrow icon where your video was minimized.

  2. Select "Unhide for me".

This feature is available across various platforms, including Windows, macOS, iOS, and Android devices .

Use Case: Enhancing Focus During Presentations

Consider a scenario where you're delivering a presentation in a Teams meeting. Seeing your own video feed might distract you from your content delivery. By using the "Hide for Me" feature, you can focus solely on your presentation and audience, reducing self-consciousness and enhancing performance.

Additional Notes

  • The "Hide for Me" feature only affects your view; other participants will continue to see your video unless you turn off your camera.

  • As of now, the setting does not persist between meetings; you'll need to activate it each time you join a new meeting.

By utilizing the "Hide for Me" feature, you can create a more comfortable and focused meeting environment, enhancing your overall productivity and well-being during virtual collaborations.

Dan Sanabria, Ph.D. (Candidate)

This article was written by Dan Sanabria, an AI Research Scientist.

Daniel Sanabria is an AI Research Scientist with a wealth of experience in artificial intelligence (AI), machine learning, and natural language processing, with a primary focus on applying these technologies to the frontier of space exploration. With a solid background in software engineering, data science, and advanced AI techniques, Daniel’s work is grounded in innovative approaches to solving some of the most complex challenges in space robotics.

His current research, as outlined in his dissertation "Traversing Mars: A Rover and AI Experience", explores the integration of AI-driven systems for autonomous operation of rovers and drones on Mars. His research seeks to leverage advanced AI techniques such as machine learning, neuromorphic computing, and quantum computing to overcome the harsh environmental constraints of Mars, such as communication delays, power limitations, and extreme terrain.

The dissertation explores interdisciplinary strategies that combine AI, physics, neuroscience, and engineering to enhance robotic autonomy, focusing on AI’s role in optimizing decision-making processes for Mars-based rovers and aerial drones. Daniel’s work is contributing to the future of autonomous exploration beyond Earth, making AI-driven systems capable of operating independently in extraterrestrial environments.

With over a decade of experience in technology and AI, Daniel is deeply committed to pushing the boundaries of AI and space exploration. He is driven by the belief that AI will be a key enabler in the next era of space missions, allowing us to explore other planets with greater autonomy, efficiency, and precision.

Education

  • PhD in Artificial Intelligence, Capitol Technology University, 2025

  • MS in Computer Science with Concentration in Artificial Intelligence, Lewis University, 2022

  • BS in Computer Science, Rasmussen University, 2020

  • AS in Application and Software Development, Rasmussen University, 2019

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