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Detecting Leadership Opportunities in Group Discussions Using Off-the-Shelf VR Headsets
Chenghao Gu1, Jiadong Chen1, Jiayi Zhang1
1Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka 819-0395, Japan.
Sensors (Basel, Switzerland)
|April 27, 2024
Summary
Virtual reality (VR) discussions can be improved by using sensor data to detect suppressed speaking intentions. This research shows combining leader and participant sensor data enhances engagement and leader support in VR group settings.
Area of Science:
- Human-Computer Interaction
- Virtual Reality Technologies
- Communication Studies
Background:
- Virtual reality (VR) environments often lack non-verbal cues, hindering effective group discussions.
- Facilitating engaging discussions in VR is challenging, even with assigned leaders.
- Existing methods for supporting VR group discussions are limited.
Purpose of the Study:
- To investigate the use of sensor data from off-the-shelf VR devices for facilitating group discussions.
- To detect suppressed speaking intentions in VR-based group discussions.
- To support leaders in managing and enhancing engagement during VR group interactions.
Main Methods:
- Utilized sensor data from commercially available VR devices.
- Developed and applied personalized and general models for detecting suppressed speaking intention.
- Analyzed experimental data from VR-based group discussions.
Main Results:
- Sensor data can identify opportunities to facilitate more engaging VR discussions.
- Combining sensor data from leaders and low-engagement participants is beneficial.
- Specific head-mounted display (HMD) sensor features proved useful for analysis.
Conclusions:
- Leveraging VR sensor data offers a pathway to improve group discussion dynamics.
- Detecting suppressed speaking intention can provide actionable insights for facilitators.
- Future work should consider specific sensor features and data fusion strategies for enhanced VR communication.
