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Cited by 267

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

Zooids: Building Blocks for Swarm User Interfaces

Open access
Le Goc, Mathieu, Kim, Lawrence H., Parsaei, Ali, Fekete, Jean-Daniel, Dragicevic, Pierre, Follmer, Sean·2016·Proceedings of the 29th Annual Symposium on User Interface Software and Technology

Abstract

This paper introduces swarm user interfaces, a new class of human-computer interfaces comprised of many autonomous robots that handle both display and interaction. We describe the design of Zooids, an open-source open-hardware platform for developing tabletop swarm interfaces. The platform consists of a collection of custom-designed wheeled micro robots each 2.6 cm in diameter, a radio base-station, a high-speed DLP structured light projector for optical tracking, and a software framework for application development and control. We illustrate the potential of tabletop swarm user interfaces through a set of application scenarios developed with Zooids, and discuss general design considerations unique to swarm user interfaces.

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Metadata

Authors
Le Goc, M., Kim, L. H., Parsaei, A., Fekete, J.-D., Dragicevic, P., & Follmer, S.
Venue
Proceedings of the 29th Annual Symposium on User Interface Software and Technology
Publisher
ACM
Published
2016-10-16
Pages
97-109
OpenAlex
W2533619018
Cited by
267
References
60
FWCI
16.87
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: Zooids: Building Blocks for Swarm User Interfaces. https://app.cochat.ai/papers/10.1145/2984511.2984547
The paper
Le Goc, M., Kim, L. H., Parsaei, A., Fekete, J.-D., Dragicevic, P., & Follmer, S. (2016). Zooids: Building Blocks for Swarm User Interfaces. Proceedings of the 29th Annual Symposium on User Interface Software and Technology. https://doi.org/10.1145/2984511.2984547

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.