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Cited by 582

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LifeLines: visualizing personal histories

Open access
Plaisant, Catherine, Milash, Brett, Rose, Anne, Widoff, Seth, Shneiderman, Ben·1996·Proceedings of the SIGCHI conference on Human factors in computing systems common ground - CHI '96

Abstract

LifeLines provide a general visualization environment for personal histories that can be applied to medical and court records, professional histories and other types of biographical data.A one screen overview shows multiple facets of the records.Aspects, for example medical conditions or legal cases, are displayed as individual time lines, while icons indicate discrete events, such as physician consultations or legal reviews.Line color and thickness illustrate relationships or significance, rescaling tools and filters allow users to focus on part of the information.LifeLines reduce the chances of missing information, facilitate spotting anomalies and trends, streamline access to details, while remaining tailorable and easily transferable between applications.The paper describes the use of LifeLines for youth records of the Maryland Department of Juvenile Justice and also for medical records.User's feedback was collected using a Visual Basic prototype for the youth record.

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Metadata

Authors
Plaisant, C., Milash, B., Rose, A., Widoff, S., & Shneiderman, B.
Venue
Proceedings of the SIGCHI conference on Human factors in computing systems common ground - CHI '96
Publisher
ACM Press
Published
1996
Pages
221-ff.
OpenAlex
W2128938146
Cited by
582
References
0
FWCI
24.00
Type
conference paper
Language
en
Open access
gold

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CoChat. (2026). Citation check: LifeLines: visualizing personal histories. https://app.cochat.ai/papers/10.1145/238386.238493
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Plaisant, C., Milash, B., Rose, A., Widoff, S., & Shneiderman, B. (1996). LifeLines: visualizing personal histories. Proceedings of the SIGCHI conference on Human factors in computing systems common ground - CHI '96. https://doi.org/10.1145/238386.238493

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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.