PASCAL - A Collaboration Technique Between Non-Collocated Avatars in Large Collaborative Virtual Environments.

Area of Science:

• Human-Computer Interaction
• Virtual Reality
• Collaborative Virtual Environments

Background:

• Collaborative work in large virtual environments necessitates seamless transitions between distributed and co-located interaction modes.
• Existing methods often struggle to effectively bridge the gap between loosely-coupled and tightly-coupled collaboration over large virtual distances.

Purpose of the Study:

• To introduce and evaluate two novel interaction techniques for sharing spatial context in collaborative virtual environments.
• To investigate the impact of these techniques on collaboration effectiveness, communication, and user experience.

Main Methods:

• Developed two interaction techniques: a virtual tablet for video conferencing and PASCAL (Parallel Avatars in a Shared Collaborative Aura Link) for sharing immediate spatial surroundings.
• Conducted a within-subject user study with 24 participants solving a collaborative puzzle in pairs.
• Compared the effectiveness of the two techniques based on task completion time, communication ease, mutual understanding, and co-presence.

Main Results:

• PASCAL demonstrated significantly positive effects on task completion time compared to the virtual tablet method.
• Participants reported enhanced ease of communication, mutual understanding, and a greater sense of co-presence when using PASCAL.
• The sharing of immediate spatial context via PASCAL proved more beneficial than simply sharing video feeds.

Conclusions:

• PASCAL is an effective interaction technique for mediating between loosely- and tightly-coupled work in collaborative virtual environments.
• Sharing spatial context is crucial for improving collaborative task performance and user experience in virtual settings.
• The findings contribute valuable insights for designing future collaborative virtual environment interaction techniques.