Investigating the Use of a Dynamic Physical Bar Chart for Data Exploration and Presentation

Area of Science:

• Human-Computer Interaction
• Data Visualization
• Tangible Computing

Background:

• Passive physicalizations require manual interaction, limiting data exploration.
• Dynamic shape-changing displays offer interactive data exploration and presentation capabilities.
• Understanding user interaction with dynamic physical data representations is crucial.

Purpose of the Study:

• To investigate how non-experts explore and present data using a dynamic physical bar chart.
• To analyze user body movements, hand gestures, and system interactions during data exploration.
• To identify strategies employed for data exploration and insight presentation with physicalizations.

Main Methods:

• An exploratory study involving 16 non-expert participants.
• Participants used a dynamic physical bar chart to explore a European values dataset.
• Analysis of body movements, hand gestures, system interactions, and user strategies.

Main Results:

• Characterization of user approaches and interactions with dynamic physical data.
• Identification of specific gestures and movements associated with data exploration tasks.
• Understanding of data subsets explored and features utilized by users.

Conclusions:

• Findings inform the design and application of dynamic data physicalizations.
• Implications for enhancing user engagement and data comprehension through interactive physical displays.
• Identified avenues for future research in tangible data interaction.