FluidMeet: Enabling Frictionless Transitions Between In-Group, Between-Group, and Private Conversations During Virtual Breakout Meetings

Document Title

FluidMeet: Enabling Frictionless Transitions Between In-Group, Between-Group, and Private Conversations During Virtual Breakout Meetings

Document Information

• Subject Area: Virtual meeting system design and user experience
• Keywords: virtual meetings, breakout discussions, private conversations, permeable boundaries, user interaction, social presence

Research Background and Issues

• Problems and Challenges: Current video conferencing tools impose overly rigid boundaries for group discussions, making transitions between in-group, between-group, and private conversations less seamless. This segmentation often affects users' sense of connection and communication efficiency, potentially leading to feelings of isolation.
• Significance: Spontaneous and informal conversations are key to social and professional innovation. In the post-pandemic era, where virtual meetings have become the norm, designing virtual meeting tools that closely mimic real-world scenarios is particularly important.
• Related Work: Existing platforms like Zoom and Gather.Town provide some tools for group discussions, but they suffer from either rigid boundaries (e.g., static breakout rooms in Zoom) or lack of boundaries (e.g., Gather.Town). These designs often lack the flexibility to balance privacy and connectivity.

Solution

• Approach: FluidMeet is a virtual breakout meeting system that supports flexible inter-group boundaries and seamless conversation transitions. The system includes the following features:

  1. Halo Widget: Facilitates private conversations within groups by enhancing one-on-one interactions through visualized small notifications (Halos) and personalized accessibility settings.
  2. Room Panels: Displays information about other discussion groups in a hierarchical manner (ranging from fully closed to public), creating a progressive visibility space for inter-group conversations.
  3. Switch Handler & Room Controller: Enables instant switching between private and group conversations and provides dynamic control over group membership and privacy distances.

• Innovations:

  • Introduces "low-friction transitions" from face-to-face conversations into virtual environments.
  • Proposes and implements the concepts of cross-group distance and semi-permeable group boundaries.
  • Adapts to varying group sizes and needs through user-driven privacy interaction design.

• Implementation Steps:

  1. Interface Design: Built a visualized meeting and signaling server using React and Socket.io.
  2. Conversation Distance Implementation: Defined virtual ranges from private to public spaces based on progressive design theory.
  3. Real-Time Information Sharing: Utilized audio and keyword extraction to dynamically display "atmosphere" and "word clouds."

Research Outcomes

• Specific Outcomes:

  • FluidMeet supports seamless transitions between in-group, between-group, and private conversations, reducing user isolation and fostering more natural communication.
  • In user studies, Halo and Room Panels significantly improved awareness of ongoing conversations and activities in other groups.

• Experimental Results:

  • Compared to traditional Zoom breakout rooms, FluidMeet demonstrated superior performance in task ease of use, interactivity, and engagement (p < 0.05 significance level).
  • The presence of Room Panels enhanced participants' cognitive coherence of other groups, encouraged users to join new conversations, and reduced intrusiveness.

• Strengths and Limitations:

  • Strengths:
    1. Enhanced interaction efficiency between one-on-one and group discussions through nested and progressive spatial design.
    2. Met dynamic needs of different scenarios with user-driven privacy adjustment features.
  • Limitations:
    1. In preliminary experiments, information overload and interference between nested levels may limit application effectiveness.
    2. Time constraints may affect users' adaptability to and trust in the system.

• Future Research Directions:

  • Deepen the evaluation of dynamic privacy adjustments and complex use cases (e.g., large-scale virtual meetings).
  • Explore personalized recommendation features in cross-platform implementations to reduce cognitive load.
  • Leverage machine learning to further optimize the extraction and display of word clouds and room atmosphere information.

Through systematic design and user research data, FluidMeet effectively addresses the gap in connectivity and privacy management within virtual meetings, offering practical and theoretical guidance for future digital meeting scenarios.