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.
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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 |
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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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