Lark: coordinating co-located collaboration with information visualization.

Area of Science:

• Human-computer interaction
• Information visualization
• Collaborative systems

Background:

• Large multi-touch displays enable new forms of collaborative data interaction.
• Coordinating multiple views for multiple users presents significant challenges.
• Existing systems often lack flexibility in supporting diverse collaboration styles.

Purpose of the Study:

• To present Lark, a system designed to facilitate coordinated interactions with information visualizations on shared digital workspaces.
• To support coordination based on scoped interaction, temporal flexibility, spatial flexibility, and changing collaboration styles.
• To enhance awareness of linked views and user freedom in collaborative data analysis.

Main Methods:

• Integrating a meta-visualization of the information visualization pipeline into the shared workspace.
• Explicitly indicating coordination points at data, representation, presentation, and view levels.
• Providing direct visual and algorithmic support for interaction coordination.

Main Results:

• Lark successfully integrates four key criteria for coordination: scoped interaction, temporal flexibility, spatial flexibility, and changing collaboration styles.
• The system enhances user awareness of how visualizations are linked.
• Lark supports both concurrent and independent work on shared large displays.

Conclusions:

• Lark provides a coherent environment for visualization collaboration and interaction.
• The system effectively supports coordinated data analysis actions over shared large displays.
• Lark advances the capabilities of multi-user interaction with information visualizations on large-scale interfaces.