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Rooms: the use of multiple virtual workspaces to reduce space contention in a window-based graphical user interface
Open accessAbstract
A key constraint on the effectiveness of window-based human-computer interfaces is that the display screen is too small for many applications. This results in “window thrashing,” in which the user must expend considerable effort to keep desired windows visible. Rooms is a window manager that overcomes small screen size by exploiting the statistics of window access, dividing the user's workspace into a suite of virtual workspaces with transitions among them. Mechanisms are described for solving the problems of navigation and simultaneous access to separated information that arise from multiple workspaces.
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Citations
Cited by
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Ellis, C. A., Gibbs, S. J., & Rein, G. (1991) · Communications of the ACM · doi:10.1145/99977.99987 · Cited by 2,767
A diary study of task switching and interruptions
Czerwinski, M., Horvitz, E., & Wilhite, S. (2004) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/985692.985715 · Cited by 830
How people revisit web pages: empirical findings and implications for the design of history systems
TAUSCHER, L., & GREENBERG, S. (1997) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1997.0125 · Cited by 562
Interface Metaphors and User Interface Design
Carroll, J. M., Mack, R. L., & Kellogg, W. A. (1988) · Handbook of Human-Computer Interaction · doi:10.1016/b978-0-444-70536-5.50008-7 · Cited by 345
Metadata
- Authors
- Henderson, D. A., & Card, S.
- Venue
- ACM Transactions on Graphics
- Published
- 1986-07
- Volume
- 5
- Issue
- 3
- Pages
- 211-243
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W2056276720
- Cited by
- 522
- References
- 0
- FWCI
- 9.98
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Henderson, D. A., & Card, S. (1986). Rooms: the use of multiple virtual workspaces to reduce space contention in a window-based graphical user interface. ACM Transactions on Graphics. https://doi.org/10.1145/24054.24056
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
