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Abstract
Tangible interfaces in mixed reality (MR) environments allow for intuitive data interactions. Tangible cubes, with their rich interaction affordances, high maneuverability, and stable structure, are particularly well-suited for exploring multi-dimensional data types. However, the design potential of these cubes is underexplored. This study introduces a design space for tangible cubes in MR, focusing on interaction space, visualization space, sizes, and multiplicity. Using spatio-temporal data, we explored the interaction affordances of these cubes in a workshop (N=24). We identified unique interactions like rotating, tapping, and stacking, which are linked to augmented reality (AR) visualization commands. Integrating user-identified interactions, we created a design space for tangible-cube interactions and visualization. A prototype visualizing global health spending with small cubes was developed and evaluated, supporting both individual and combined cube manipulation. This research enhances our grasp of tangible interaction in MR, offering insights for future design and application in diverse data contexts.
Original language | English |
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Title of host publication | CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems |
Publisher | Association for Computing Machinery |
ISBN (Electronic) | 9798400703300 |
DOIs | |
Publication status | Published - 11 May 2024 |
Event | 2024 CHI Conference on Human Factors in Computing Systems: CHI'24 - Honolulu, United States Duration: 11 May 2024 → 16 May 2024 |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
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Conference
Conference | 2024 CHI Conference on Human Factors in Computing Systems |
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Country/Territory | United States |
City | Honolulu |
Period | 11/05/24 → 16/05/24 |
Keywords
- Tangible interaction
- Spatio-temporal data
- Mixed reality
Fingerprint
Dive into the research topics of 'Data Cubes in Hand: A Design Space of Tangible Cubes for Visualizing 3D Spatio-Temporal Data in Mixed Reality'. Together they form a unique fingerprint.Projects
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Natural Interaction Techniques for Immersive Data Visualization
Yu, L., Liang, H. N., Li, Y. & Isenberg, T.
1/01/23 → 31/12/26
Project: Governmental Research Project