MarioChart: Autonomous Tangibles as Active Proxy Interfaces for Embodied Casual Data Exploration
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arXiv
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| Format: | Preprint |
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2026
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| _version_ | 1866911399318388736 |
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| author | Dai, Shaozhang Satriadi, Kadek Ananta Smiley, Jim Ens, Barrett Besançon, Lonni Dwyer, Tim |
| author_facet | Dai, Shaozhang Satriadi, Kadek Ananta Smiley, Jim Ens, Barrett Besançon, Lonni Dwyer, Tim |
| contents | We introduce the notion of an Active Proxy interface, i.e. tangible models as proxies for physical data referents, supporting interactive exploration of data through active manipulation. We realise an active proxy data visualisation system, "MarioChart", using robot carts relocating themselves on a tabletop, e.g., to align with their data referents in a map or other visual layout. We consider a casual-data exploration scenario involving a multivariate campus sustainability dataset, using scale models as proxies for their physical building data referents. Our empirical study (n=12) compares active proxy use with conventional tablet interaction, finding that our active proxy system enhances short-term spatial memory of data and enables faster completion of certain data analytic tasks. It shows no significant differences compared to traditional touch-screens in long-term memory, physical fatigue, mental workload, or user engagement. Our study offers an initial baseline for active proxy techniques and advances understanding of tangible interfaces in situated data visualisation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_18328 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | MarioChart: Autonomous Tangibles as Active Proxy Interfaces for Embodied Casual Data Exploration Dai, Shaozhang Satriadi, Kadek Ananta Smiley, Jim Ens, Barrett Besançon, Lonni Dwyer, Tim Human-Computer Interaction We introduce the notion of an Active Proxy interface, i.e. tangible models as proxies for physical data referents, supporting interactive exploration of data through active manipulation. We realise an active proxy data visualisation system, "MarioChart", using robot carts relocating themselves on a tabletop, e.g., to align with their data referents in a map or other visual layout. We consider a casual-data exploration scenario involving a multivariate campus sustainability dataset, using scale models as proxies for their physical building data referents. Our empirical study (n=12) compares active proxy use with conventional tablet interaction, finding that our active proxy system enhances short-term spatial memory of data and enables faster completion of certain data analytic tasks. It shows no significant differences compared to traditional touch-screens in long-term memory, physical fatigue, mental workload, or user engagement. Our study offers an initial baseline for active proxy techniques and advances understanding of tangible interfaces in situated data visualisation. |
| title | MarioChart: Autonomous Tangibles as Active Proxy Interfaces for Embodied Casual Data Exploration |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2601.18328 |