Feature Request: Zoom Facial Recognition Alert
Overview:
A new feature for Zoom, Facial Recognition Alert, would enable the platform to detect whether participants are actively looking at the screen or facing away. This feature could provide valuable real-time feedback and reporting for hosts, co-hosts, and participants, helping improve engagement and accountability in virtual meetings.
Potential Use Cases:
- Screen Alignment Alerts
- Notify users when their face is not centered or visible on screen, prompting adjustments for better visibility and engagement.
- Activity Logging Reports
- Generate logs for hosts that track when participants turn away from the camera for extended periods (e.g., “Participant X looked away for 3 minutes and 25 seconds”). These reports can help organizers gauge overall engagement and identify participants who might need follow-up.
- Classroom Engagement Monitoring
- Provide tools for teachers, CEU instructors, or trainers to monitor student engagement. If a student’s attention strays from the screen for a set threshold, they could receive a notification or be automatically logged out after a specified period of inactivity. This feature helps maintain a minimum engagement standard and ensures compliance with participation requirements.
Additional Suggestions:
- Privacy Considerations: To ensure user trust, Zoom could incorporate privacy settings allowing participants to opt into or be notified about when facial recognition is active.
- Customization Options: Allow hosts to set custom thresholds for attention requirements based on the meeting’s needs, so alerts and logs align with specific engagement goals.
- Data Aggregation: For large classes or conferences, aggregate data can be provided as summaries for instructors to quickly assess overall engagement trends.