Content-aware kinetic scrolling for supporting web page navigation
Name
Miller_Content-aware.pdf
Size
1.83 MB
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Adobe PDF
Checksum (MD5)
cc0c6ae06c60ffc93a2d0c2c8e59636e
Author(s)
Kim, Juho
Kim, Jihee
Miller, Robert C.
Gajos, Krzysztof Z.
Zhang, Amy Xian
Date Issued
October 2014
Journal
Proceedings of the 27th annual ACM symposium on User interface software and technology (UIST '14)
Publisher
Association for Computing Machinery (ACM)
Citation
Juho Kim, Amy X. Zhang, Jihee Kim, Robert C. Miller, and Krzysztof Z. Gajos. 2014. Content-aware kinetic scrolling for supporting web page navigation. In Proceedings of the 27th annual ACM symposium on User interface software and technology (UIST '14). ACM, New York, NY, USA, 123-127.
Version
Author's final manuscript
Abstract
Long documents are abundant on the web today, and are accessed in increasing numbers from touchscreen devices such as mobile phones and tablets. Navigating long documents with small screens can be challenging both physically and cognitively because they compel the user to scroll a great deal and to mentally filter for important content. To support navigation of long documents on touchscreen devices, we introduce content-aware kinetic scrolling, a novel scrolling technique that dynamically applies pseudo-haptic feedback in the form of friction around points of high interest within the page. This allows users to quickly find interesting content while exploring without further cluttering the limited visual space. To model degrees of interest (DOI) for a variety of existing web pages, we introduce social wear, a method for capturing DOI based on social signals that indicate collective user interest. Our preliminary evaluation shows that users pay attention to items with kinetic scrolling feedback during search, recognition, and skimming tasks.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2642918.2647401
