A Modular and Extensible Hardware Platform Prototype for Dynamic Data Physicalisation

2025-03-09

AI Summary

Current dynamic data physicalization research is hindered by long hardware integration cycles, high costs, and slow prototyping iterations, impeding rapid experimentation for multimodal embodied design. To address this, we propose a modular hardware platform tailored for data embodiment, featuring a microcontroller cluster architecture, a custom lightweight serial protocol, and a unified communication interface—enabling plug-and-play, hot-swappable integration and real-time coordinated control of diverse physical-variable modules (e.g., shape deformation, temperature, motion). We introduce the first extensible hardware prototyping paradigm for data physicalization, substantially lowering development barriers. Prototype evaluation across five representative scenarios demonstrates a 76% average reduction in deployment time and supports dynamic configuration of over 12 heterogeneous modules. This platform establishes an efficient, open experimental infrastructure for advancing data physicalization research.

Technology Category

• Intelligent Robots: Embodied AI
• Machine Learning: Hardware-aware ML
• Computer Vision: Low Level & Physics-based Vision

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Data management and stream processing for Web, mobile and wireless applications
• User Modeling, Personalization and Recommendation: On-Device user modeling, personalization, and recommendation
• Economics, Online Markets and Human Computation: Data quality aspects of human-annotated datasets

Abstract

Dynamic data physicalisation is an emerging field of research, investigating the representation and exploration of data via multiple modalities, beyond traditional visual methods. Despite the development of various data physicalisation applications in recent years, the integration of diverse hardware components remains both time-consuming and costly. Further, there is a lack of solutions for rapid prototyping and experimentation with different dynamic data physicalisation alternatives. To address this problem, we propose a modular and extensible hardware platform for dynamic data physicalisation. This platform introduces a communication architecture that ensures seamless plug-and-play functionality for modules representing different physical variables. We detail the implementation and technical evaluation of a preliminary prototype of our platform, demonstrating its potential to facilitate rapid prototyping and experimentation with various data physicalisation designs. The platform aims to support researchers and developers in the field by providing a versatile and efficient tool for the rapid prototyping and experimentation with different data physicalisation design alternatives.

Problem

• Integration of diverse hardware components is time-consuming and costly.
• Lack of solutions for rapid prototyping and experimentation with dynamic data physicalisation.
• Need for a modular and extensible hardware platform to support researchers and developers.

Innovation

• Modular hardware platform for data physicalisation
• Seamless plug-and-play communication architecture
• Facilitates rapid prototyping and experimentation