MarioChart: Autonomous Tangibles as Active Proxy Interfaces for Embodied Casual Data Exploration

要旨

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 touchscreens 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.

著者
Shaozhang Dai
Monash University, Melbourne, VIC, Australia
Kadek Ananta Satriadi
Monash University, Melbourne, Australia
Jim Smiley
Monash University, Clayton, Victoria, Australia
Barrett Ens
The University of British Columbia (Okanagan Campus), Kelowna, British Columbia, Canada
Lonni Besançon
Linköping University, Norrköping, Sweden
Tim Dwyer
Monash University, Melbourne, VIC, Australia
動画

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Physical and Tangible Data Visualizations

P1 - Room 119
7 件の発表
2026-04-15 18:00:00
2026-04-15 19:30:00