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What do you see when you're surfing?: using eye tracking to predict salient regions of web pages

Published:04 April 2009Publication History

ABSTRACT

An understanding of how people allocate their visual attention when viewing Web pages is very important for Web authors, interface designers, advertisers and others. Such knowledge opens the door to a variety of innovations, ranging from improved Web page design to the creation of compact, yet recognizable, visual representations of long pages. We present an eye-tracking study in which 20 users viewed 361 Web pages while engaged in information foraging and page recognition tasks. From this data, we describe general location-based characteristics of visual attention for Web pages dependent on different tasks and demographics, and generate a model for predicting the visual attention that individual page elements may receive. Finally, we introduce the concept of fixation impact, a new method for mapping gaze data to visual scenes that is motivated by findings in vision research.

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    • Published in

      cover image ACM Conferences
      CHI '09: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2009
      2426 pages
      ISBN:9781605582467
      DOI:10.1145/1518701

      Copyright © 2009 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      • Published: 4 April 2009

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      CHI '09 Paper Acceptance Rate277of1,130submissions,25%Overall Acceptance Rate6,199of26,314submissions,24%

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