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DATALEV: Acoustophoretic Data Physicalisation

Gao, Lei; Hardwick, James; Plasencia, Diego Martinez; Subramanian, Sriram; Hirayama, Ryuji; (2022) DATALEV: Acoustophoretic Data Physicalisation. In: UIST '22 Adjunct: The Adjunct Publication of the 35th Annual ACM Symposium on User Interface Software and Technology. (pp. p. 64). ACM: New York, NY, United States. Green open access

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Abstract

Here, we demonstrate DataLev, a data physicalisation platform with a physical assembly pipeline that allows us to computationally assemble 3D physical charts using acoustically levitated contents. DataLev consists of several enhancement props that allow us to incorporate high-resolution projection, different 3D printed artifacts and multi-modal interaction. DataLev supports reconfigurable and dynamic physicalisations that we animate and illustrate for different chart types. Our work opens up new opportunities for data storytelling using acoustic levitation.

Type: Proceedings paper
Title: DATALEV: Acoustophoretic Data Physicalisation
Event: UIST '22: The 35th Annual ACM Symposium on User Interface Software and Technology
ISBN-13: 9781450393218
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3526114.3558638
Publisher version: https://doi.org/10.1145/3526114.3558638
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10161588
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