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Cited by 414

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

"Stuff goes into the computer and doesn't come out": a cross-tool study of personal information management

Boardman, Richard, Sasse, M. Angela·2004·Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Abstract

This paper reports a study of Personal Information Management (PIM), which advances research in two ways: (1) rather than focusing on one tool, we collected cross-tool data relating to file, email and web bookmark usage for each participant, and (2) we collected longitudinal data for a subset of the participants. We found that individuals employ a rich variety of strategies both within and across PIM tools, and we present new strategy classifications that reflect this behaviour. We discuss synergies and differences between tools that may be useful in guiding the design of tool integration. Our longitudinal data provides insight into how PIM behaviour evolves over time, and suggests how the supporting nature of PIM discourages reflection by users on their strategies. We discuss how the promotion of some reflection by tools and organizations may benefit users.

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Metadata

Authors
Boardman, R., & Sasse, M. A.
Venue
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2004-04-25
Pages
583-590
OpenAlex
W2065132166
Cited by
414
References
14
FWCI
28.83
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: "Stuff goes into the computer and doesn't come out": a cross-tool study of personal information management. https://app.cochat.ai/papers/10.1145/985692.985766
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Boardman, R., & Sasse, M. A. (2004). "Stuff goes into the computer and doesn't come out": a cross-tool study of personal information management. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/985692.985766

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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.