Data Cubes in Hand: A Design Space of Tangible Cubes for Visualizing 3D Spatio-Temporal Data in Mixed Reality

Fuente: arXiv
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Autores principales: He, Shuqi, Yao, Haonan, Jiang, Luyan, Li, Kaiwen, Xiang, Nan, Li, Yue, Liang, Hai-Ning, Yu, Lingyun
Formato: Preprint
Publicado: 2024
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author He, Shuqi
Yao, Haonan
Jiang, Luyan
Li, Kaiwen
Xiang, Nan
Li, Yue
Liang, Hai-Ning
Yu, Lingyun
author_facet He, Shuqi
Yao, Haonan
Jiang, Luyan
Li, Kaiwen
Xiang, Nan
Li, Yue
Liang, Hai-Ning
Yu, Lingyun
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2403_06891
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Data Cubes in Hand: A Design Space of Tangible Cubes for Visualizing 3D Spatio-Temporal Data in Mixed Reality
He, Shuqi
Yao, Haonan
Jiang, Luyan
Li, Kaiwen
Xiang, Nan
Li, Yue
Liang, Hai-Ning
Yu, Lingyun
Human-Computer Interaction
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.
title Data Cubes in Hand: A Design Space of Tangible Cubes for Visualizing 3D Spatio-Temporal Data in Mixed Reality
topic Human-Computer Interaction
url https://arxiv.org/abs/2403.06891