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DataLev: Mid-air Data Physicalisation Using Acoustic Levitation

Lei Gao, Pourang Irani, Sriram Subramanian, Gowdham Prabhakar, Diego Martínez Plasencia, Ryuji Hirayama

2023Year
22Citations
1Top-tier citations

Abstract

Data physicalisation is a technique that encodes data through the geometric and material properties of an artefact, allowing users to engage with data in a more immersive and multi-sensory way. However, current methods of data physicalisation are limited in terms of their reconfgurability and the types of materials that can be used. Acoustophoresis-a method of suspending and manipulating materials using sound waves-ofers a promising solution to these challenges. In this paper, we present DataLev, a design space and platform for creating reconfgurable, multimodal data physicalisations with enriched materiality using acoustophoresis. We demonstrate the capabilities of DataLev through eight examples and evaluate its performance in terms of reconfgurability and materiality. Our work ofers a new approach to data physicalisation, enabling designers to create more dynamic, engaging, and expressive artefacts.

• Human-centered computing → Human computer interaction (HCI); Interactive systems and tools.

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