The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A multiple device approach for supporting whiteboard-based interactions
Open accessAbstract
In this paper, we propose a multiple-device approach for supporting informal meetings using a digital whiteboard.Traditional digital whiteboard systems often suffer from a limited capability to enter text and the handling of existing data.The large display surface of the whiteboard also makes traditional GUI design ineffective.Our proposed approach provides a hand-held computer for each participant which serves as a tool palette and data entry palette for the whiteboard.Just as an oil painter effectively uses a palette in his/her hand, this hand-held device offers an easy way to create a new text/stroke object, to select existing data from a network, to select pen attributes, and to control thewhiteboard application.This paper also reports our experience with the digital whiteboard systems using a proposed multi-device architecture.
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Cites
Tangible bits: towards seamless interfaces between people, bits and atoms
Ishii, H., & Ullmer, B. (1997) · Proceedings of the ACM SIGCHI Conference on Human factors in computing systems · doi:10.1145/258549.258715 · Cited by 3,853
Cited by
Augmented surfaces: a spatially continuous work space for hybrid computing environments
Rekimoto, J., & Saitoh, M. (1999) · Proceedings of the SIGCHI conference on Human factors in computing systems the CHI is the limit - CHI '99 · doi:10.1145/302979.303113 · Cited by 688
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Metadata
- Authors
- Rekimoto, J.
- Venue
- Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '98
- Publisher
- ACM Press
- Published
- 1998
- Pages
- 344-351
- OpenAlex
- W2007760386
- Cited by
- 229
- References
- 1
- FWCI
- 12.80
- Type
- conference paper
- Language
- en
- Open access
- bronze
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- Rekimoto, J. (1998). A multiple device approach for supporting whiteboard-based interactions. Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '98. https://doi.org/10.1145/274644.274692
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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.
