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Cited by 512

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

UltraHaptics: multi-point mid-air haptic feedback for touch surfaces

Open access
Carter, Tom, Seah, Sue Ann, Long, Benjamin, Drinkwater, Bruce, Subramanian, Sriram·2013·Proceedings of the 26th annual ACM symposium on User interface software and technology

Abstract

We introduce UltraHaptics, a system designed to provide multi-point haptic feedback above an interactive surface. UltraHaptics employs focused ultrasound to project discrete points of haptic feedback through the display and directly on to users' unadorned hands. We investigate the desirable properties of an acoustically transparent display and demonstrate that the system is capable of creating multiple localised points of feedback in mid-air. Through psychophysical experiments we show that feedback points with different tactile properties can be identified at smaller separations. We also show that users are able to distinguish between different vibration frequencies of non-contact points with training. Finally, we explore a number of exciting new interaction possibilities that UltraHaptics provides.

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Crossref · 10.1145/2501988.2502018

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Metadata

Authors
Carter, T., Seah, S. A., Long, B., Drinkwater, B., & Subramanian, S.
Venue
Proceedings of the 26th annual ACM symposium on User interface software and technology
Publisher
ACM
Published
2013-10-08
Pages
505-514
OpenAlex
W2123917150
Cited by
512
References
23
FWCI
36.51
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: UltraHaptics: multi-point mid-air haptic feedback for touch surfaces. https://app.cochat.ai/papers/10.1145/2501988.2502018
The paper
Carter, T., Seah, S. A., Long, B., Drinkwater, B., & Subramanian, S. (2013). UltraHaptics: multi-point mid-air haptic feedback for touch surfaces. Proceedings of the 26th annual ACM symposium on User interface software and technology. https://doi.org/10.1145/2501988.2502018

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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.