Touching the Ground: Evaluating the Effectiveness of Data Physicalizations for Spatial Data Analysis Tasks.

Area of Science:

• Data Visualization
• Human-Computer Interaction
• Scientific Data Analysis

Background:

• Data physicalizations offer potential benefits for data engagement and analysis.
• Previous research focused on abstract data, not continuous spatial fields.
• Climate and medical science rely on analyzing spatial data fields.

Purpose of the Study:

• To compare human performance in analyzing continuous spatial data across physical and digital visualizations.
• To investigate the efficacy of 3D printed data physicalizations for spatial data analysis tasks.

Main Methods:

• Participants analyzed 3D spatial elevation data using three modalities: 2D digital, stereoscopic virtual reality, and 3D printed physicalization.
• Tasks included path tracing, location lookup, and height comparison.
• Performance was measured by task completion time and error rates.

Main Results:

• Participants performed tasks as well as or better with the 3D printed physicalization compared to digital and VR modalities.
• Analysis included quantitative metrics (time, errors) and qualitative participant feedback.

Conclusions:

• 3D printed data physicalizations are a viable and effective method for analyzing continuous spatial data.
• Findings support the broader application of data physicalization in scientific domains like climate and medicine.