An information architecture to support the visualization of personal histories

作者: Catherine Plaisant , Ben Shneiderman , Rich Mushlin

DOI: 10.1016/S0306-4573(98)00024-7

关键词:

摘要: This paper proposes an information architecture for personal history data and describes how the model can be extended to a runtime compact visualization using graphical timelines. Our was developed juvenile justice medical patient records, but is usable in other application domains such as resumes, financial histories, or customer support. groups events into aggregates that are contained facets (e.g., doctor visits, hospitalizations, lab tests). Crosslinks enable representation of arbitrary relationships across aggregates. Data attributes, severity, mapped by administrators visual attributes color line thickness. End-users have powerful controls over display contents, they modify mapping fit their tasks.

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