Cited By
View all- Tate RConti GFarmer ASobiesk E(2016)Evaluating Adversarial Interfaces: An Automated ApproachIEEE Technology and Society Magazine10.1109/MTS.2016.251824935:1(56-68)Online publication date: Mar-2016
Automated webpage evaluation
Pages 77 - 82
Abstract
Webpage evaluation and metrics have historically focused on page-level characteristics or on key words. We introduce an automated technique for graphically measuring specific elements on a webpage. Our technique provides a means to increase the fidelity of webpage analysis and introduces a novel metric focused on the number of pixels that certain elements occupy in a browser window. We implemented the technique as a Firefox extension and successfully tested it on Alexa?s top 25 U.S. websites. The technique is fully automatable and consistently measures a customizable set of elements as they appear to users in the Firefox web browser. Importantly, the application allows for communication with and the incorporation of other browser-based tools or extensions. We discuss design considerations and creative solutions to technical implementation challenges. The application provides for a wide range of research opportunities that may require a new level of fidelity in webpage analysis and comparison.
References
[1]
Andrew Jaquith. 2007. Security Metrics: Replacing Fear Uncertainty, and Doubt. Addison Wesley, 2007.
[2]
Wladimir Palant. 2007. Adblock plus Firefox extension. Available from http://adblockplus.org/en/firefox
[3]
Melody Y. Ivory, Rashmi R. Sinha, and Marti A. Hearst. 2001. Empirically validated web page design metrics. Proceedings of the SIGCHI conference on Human factors in computing systems, March 2001, Seattle, Washington, pp. 53--60.
[4]
Kevin Freitas. 2011. MeasureIt Firefox extension. Available from https://addons.mozilla.org/en-US/firefox/addon/measureit/
Index Terms
- Automated webpage evaluation
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Information
Published In
October 2013
102 pages
ISBN:9781450324946
DOI:10.1145/2512209
- General Chair:
- William D. Armitage,
- Program Chairs:
- Rob Friedman,
- Ken Baker
Copyright © 2013 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 01 October 2013
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- Research-article
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SIGITE/RIIT'13
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Acceptance Rates
RIIT '13 Paper Acceptance Rate 12 of 24 submissions, 50%;
Overall Acceptance Rate 51 of 116 submissions, 44%
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Cited By
View all- Tate RConti GFarmer ASobiesk E(2016)Evaluating Adversarial Interfaces: An Automated ApproachIEEE Technology and Society Magazine10.1109/MTS.2016.251824935:1(56-68)Online publication date: Mar-2016
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