Turn your video calls into conversations that go beyond the screen!
This Video Conference demo uses Facial Emotion AI to track real-time engagement, attention level, and mood of participants in virtual meetings.
It shows the potential of an integration of MorphCast in a Video Conferencing tool, allowing to:
- Identify emotional reactions of your audience in real-time.
- Monitor the attention levels of participants.
- Evaluate the engagement rate of your audience.
This analysis is conducted live during your interactions, with the added benefit of a detailed analytics dashboard available after your video conference for reviewing all collected data.
Key Features
Real-time statistics
In virtual meetings, MorphCast leverages AI to analyze and provide real-time insights into participants’ emotions, attention, and engagement. It offers immediate visual feedback on the emotional dynamics present, enabling hosts to tailor their communication for more empathetic and impactful interactions. This approach enhances the understanding between hosts and participants, fostering more meaningful conversations.
Insights and analytics, accessible anytime
The data collected during live events is saved in a detailed analytics dashboard, accessible anytime to evaluate and optimize communication strategies for future meetings.
For example, the technology can show the most engaged attendees, highlights moments triggering strong emotional reactions, and pinpoints moments that may cause stress or frustration during meetings.
Key Benefits
Say goodbye to guessing if your students are engaged
MorphCast helps you see how engaged your students are in real-time, offering cues on when to take breaks, adjust teaching methods, or change topics. After lessons, detailed engagement statistics guide future planning, ensuring every session is as effective as possible.
Enhancing therapy with AI
MorphCast allows you to effortlessly track your patients’ emotional journey. Our technology provides insights into patients’ feelings from session start to finish, using an advanced Emotion AI for a comprehensive understanding of emotional changes. It also enables the tracking of emotional patterns over sessions through its analytical dashboard, offering a deeper level of patient care through data-driven insights.