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Time-machine computing: a time-centric approach for the information environment

Rekimoto, Jun·1999·Proceedings of the 12th annual ACM symposium on User interface software and technology

Abstract

This paper describes the concept of Time-Machine Computing (TMC), a time-centric approach to organizing information on computers. A system based on Time-Machine Computing allows a user to visit the past and the future states of computers. When a user needs to refer to a document that he/she was working on at some other time, he/she can travel in the time dimension and the system restores the computer state at that time. Since the user's activities on the system are automatically archived, the user's daily workspace is seamlessly integrated into the information archive. The combination of spatial information management of the desktop metaphor and time traveling allows a user to organize and archive information without being bothered by folder hierarchies or the file classification problems that are common in today's desktop environments. TMC also provides a mechanism for linking multiple applications and external information sources by exchanging time information. This paper describes the key features of TMC, a time-machine desktop environment called “TimeScape,” and several time-oriented application integration examples.

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Metadata

Authors
Rekimoto, J.
Venue
Proceedings of the 12th annual ACM symposium on User interface software and technology
Publisher
ACM
Published
1999-11-07
Pages
45-54
OpenAlex
W2058623130
Cited by
243
References
0
FWCI
15.99
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Time-machine computing: a time-centric approach for the information environment. https://app.cochat.ai/papers/10.1145/320719.322582
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Rekimoto, J. (1999). Time-machine computing: a time-centric approach for the information environment. Proceedings of the 12th annual ACM symposium on User interface software and technology. https://doi.org/10.1145/320719.322582

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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.