Title
Automated webpage evaluation
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.
Year
DOI
Venue
2013
10.1145/2512209.2512220
RIIT
Keywords
Field
DocType
automated webpage evaluation,browser-based tool,firefox extension,u.s. web,firefox web browser,certain element,webpage analysis,browser window,automated technique,creative solution,webpage evaluation,interfaces,user experience,interface design
Automated technique,User experience design,Fidelity,World Wide Web,Web browser,Web page,Computer science,Human–computer interaction,Pixel,Web content analysis,Interface design
Conference
Citations 
PageRank 
References 
0
0.34
1
Authors
3
Name
Order
Citations
PageRank
Ryan Tate100.34
Gregory Conti2445.82
Edward Sobiesk34910.29