Immersive Collaborative Analysis of Network Connectivity: CAVE-style or Head-Mounted Display?

Area of Science:

• Human-Computer Interaction
• Computer Graphics
• Data Visualization

Background:

• Immersive display technologies like head-mounted displays (HMDs) are emerging as accessible alternatives to traditional CAVE-style environments.
• Collaborative sense-making is a key driver for immersive environments, yet research on abstract data visualization in these settings is limited.

Purpose of the Study:

• To investigate the effectiveness of HMDs versus CAVE-style environments for collaborative analysis of abstract data, specifically network connectivity.
• To conduct the first formal user study comparing these immersive environments for abstract data visualization tasks.

Main Methods:

• A user study comparing collaborative network connectivity analysis using HMDs and a CAVE2 system.
• Measurement of task completion time, participant movement, accuracy, and communication effectiveness.

Main Results:

• Participants using HMDs completed tasks significantly faster than those in the CAVE2 environment.
• The CAVE2 condition resulted in asymmetrical movement patterns between collaborators.
• No significant differences were found in accuracy or communication effectiveness between HMDs and CAVE2.

Conclusions:

• Low-cost HMDs provide comparable collaborative data analysis capabilities to CAVE systems for abstract tasks, with improved speed.
• The findings suggest HMDs are a viable and potentially ubiquitous platform for collaborative abstract data visualization.