Ambient Analytics: Calm Technology for Immersive Visualization and Sensemaking

Area of Science:

• Human-Computer Interaction
• Data Visualization
• Augmented Reality

Background:

• Augmented reality (AR) offers potential for embedding data visualizations into the user's environment.
• However, AR may overwhelm users with excessive information, increasing cognitive load.
• Calm technologies prioritize placing information in the user's attentional periphery to minimize cognitive load.

Purpose of the Study:

• To explore the harmonious integration of data visualizations into everyday life using augmented reality.
• To transition from traditional visual analytics to a more ambient approach.

Main Methods:

• Conceptual exploration of AR capabilities for data visualization.
• Discussion of calm technology principles applied to AR interfaces.
• Framework development for ambient analytics.

Main Results:

• AR visualizations can be designed to be less intrusive and more peripheral.
• Ambient analytics leverages calm technologies to present data unobtrusively.
• A progression from visually demanding analytics to passively perceptive ambient information is proposed.

Conclusions:

• Augmented reality, guided by calm technology principles, can enable ambient analytics.
• This approach reduces cognitive load by integrating data visualizations peripherally.
• The study outlines a pathway for seamless data interaction within everyday environments.