Scholars need to keep up with an exponentially increasing flood of scientific papers. To aid this challenge, we introduce Scim, a novel intelligent interface that helps experienced researchers skim – or rapidly review – a paper to attain a cursory understanding of its contents. Scim supports the skimming process by highlighting salient paper contents in order to direct a reader’s attention. The system’s highlights are faceted by content type, evenly distributed across a paper, and have a density configurable by readers at both the global and local level. We evaluate Scim with both an in-lab usability study and a longitudinal diary study, revealing how its highlights facilitate the more efficient construction of a conceptualization of a paper. We conclude by discussing design considerations and tensions for the design of future intelligent skimming tools.
Description
Scim: Intelligent Skimming Support for Scientific Papers | Proceedings of the 28th International Conference on Intelligent User Interfaces
%0 Conference Paper
%1 Fok_2023
%A Fok, Raymond
%A Kambhamettu, Hita
%A Soldaini, Luca
%A Bragg, Jonathan
%A Lo, Kyle
%A Hearst, Marti
%A Head, Andrew
%A Weld, Daniel S
%B Proceedings of the 28th International Conference on Intelligent User Interfaces
%D 2023
%I ACM
%K iui2023 navigation-support reading-support
%P 476-490
%R 10.1145/3581641.3584034
%T Scim: Intelligent Skimming Support for Scientific Papers
%U https://doi.org/10.1145%2F3581641.3584034
%X Scholars need to keep up with an exponentially increasing flood of scientific papers. To aid this challenge, we introduce Scim, a novel intelligent interface that helps experienced researchers skim – or rapidly review – a paper to attain a cursory understanding of its contents. Scim supports the skimming process by highlighting salient paper contents in order to direct a reader’s attention. The system’s highlights are faceted by content type, evenly distributed across a paper, and have a density configurable by readers at both the global and local level. We evaluate Scim with both an in-lab usability study and a longitudinal diary study, revealing how its highlights facilitate the more efficient construction of a conceptualization of a paper. We conclude by discussing design considerations and tensions for the design of future intelligent skimming tools.
@inproceedings{Fok_2023,
abstract = {Scholars need to keep up with an exponentially increasing flood of scientific papers. To aid this challenge, we introduce Scim, a novel intelligent interface that helps experienced researchers skim – or rapidly review – a paper to attain a cursory understanding of its contents. Scim supports the skimming process by highlighting salient paper contents in order to direct a reader’s attention. The system’s highlights are faceted by content type, evenly distributed across a paper, and have a density configurable by readers at both the global and local level. We evaluate Scim with both an in-lab usability study and a longitudinal diary study, revealing how its highlights facilitate the more efficient construction of a conceptualization of a paper. We conclude by discussing design considerations and tensions for the design of future intelligent skimming tools.},
added-at = {2023-04-12T16:43:12.000+0200},
author = {Fok, Raymond and Kambhamettu, Hita and Soldaini, Luca and Bragg, Jonathan and Lo, Kyle and Hearst, Marti and Head, Andrew and Weld, Daniel S},
biburl = {https://www.bibsonomy.org/bibtex/2e3e947e0c169738e2bfd918537ce10b8/brusilovsky},
booktitle = {Proceedings of the 28th International Conference on Intelligent User Interfaces},
description = {Scim: Intelligent Skimming Support for Scientific Papers | Proceedings of the 28th International Conference on Intelligent User Interfaces},
doi = {10.1145/3581641.3584034},
interhash = {ec0c41a728b73b7549009f544904ce6e},
intrahash = {e3e947e0c169738e2bfd918537ce10b8},
keywords = {iui2023 navigation-support reading-support},
month = mar,
pages = {476-490},
publisher = {{ACM}},
timestamp = {2023-04-12T16:54:11.000+0200},
title = {Scim: Intelligent Skimming Support for Scientific Papers},
url = {https://doi.org/10.1145%2F3581641.3584034},
year = 2023
}