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Cited by 466

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

QuickSet: multimodal interaction for distributed applications

Open access
Cohen, Philip R., Johnston, Michael, McGee, David, Oviatt, Sharon, Pittman, Jay, Smith, Ira, Chen, Liang, Clow, Josh·1997·Proceedings of the fifth ACM international conference on Multimedia - MULTIMEDIA '97

Abstract

This paper presents an emerging application of multimodal interface research to distributed applications.We have developed the QuickSet prototype, a pen/voice system running on a hand-held PC, communicating via wireless LAN through an agent architecture to a number of systems, including NRaD's' LeatherNet system, a distributed interactive training simulator built for the US Marine Corps.The paper describes the overall system architecture, a novel multimodal integration strategy offering mutual compensation among modalities, and provides examples of multimodal simulation setup.Finally, we discuss our applications experience and evaluation.

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Crossref · 10.1145/266180.266328

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Metadata

Authors
Cohen, P. R., Johnston, M., McGee, D., Oviatt, S., Pittman, J., Smith, I., Chen, L., & Clow, J.
Venue
Proceedings of the fifth ACM international conference on Multimedia - MULTIMEDIA '97
Publisher
ACM Press
Published
1997
Pages
31-40
OpenAlex
W2061270248
Cited by
466
References
20
FWCI
12.60
Type
conference paper
Language
en
Open access
bronze

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CoChat. (2026). Citation check: QuickSet: multimodal interaction for distributed applications. https://app.cochat.ai/papers/10.1145/266180.266328
The paper
Cohen, P. R., Johnston, M., McGee, D., Oviatt, S., Pittman, J., Smith, I., Chen, L., & Clow, J. (1997). QuickSet: multimodal interaction for distributed applications. Proceedings of the fifth ACM international conference on Multimedia - MULTIMEDIA '97. https://doi.org/10.1145/266180.266328

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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.