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Beyond paper: supporting active reading with free form digital ink annotations
Abstract
Reading frequently involves not just looking at words on a page, but also underlining, highlighting and commenting, either on the text or in a separate notebook. This combination of reading with critical thinking and learning is called active reading [2]. To explore the premise that computation can enhance active reading we have built the XLibris “active reading machine.” XLibris uses a commercial high-resolution pen tablet display along with a paper-like user interface to support the key affordances of paper for active reading: the reader can hold a scanned image of a page in his lap and mark on it with digital ink. To go beyond paper, XLibris monitors the free-form ink annotations made while reading, and uses these to organize and to search for information. Readers can review, sort and filter clippings of their annotated text in a “Reader's Notebook.” XLibris also searches for material related to the annotated text, and displays links to similar documents unobtrusively in the margin. XLibris demonstrates that computers can help active readers organize and find information while retaining many of the advantages of reading on paper.
Overview
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Citations
Cited by
Designing technology to support reflection
Lin, X., Hmelo, C., Kinzer, C. K., & Secules, T. J. (1999) · Educational Technology Research and Development · doi:10.1007/bf02299633 · Cited by 342
Western University, Sedig, K., Parsons, P., & Western University (2013) · AIS Transactions on Human-Computer Interaction · doi:10.17705/1thci.00055 · Cited by 145
Metadata
- Authors
- Schilit, B. N., Golovchinsky, G., & Price, M. N.
- Venue
- Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '98
- Publisher
- ACM Press
- Published
- 1998
- Pages
- 249-256
- OpenAlex
- W2094567668
- Cited by
- 326
- References
- 0
- FWCI
- 12.20
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
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- CoChat. (2026). Citation check: Beyond paper: supporting active reading with free form digital ink annotations. https://app.cochat.ai/papers/10.1145/274644.274680
- The paper
- Schilit, B. N., Golovchinsky, G., & Price, M. N. (1998). Beyond paper: supporting active reading with free form digital ink annotations. Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '98. https://doi.org/10.1145/274644.274680
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.