Research

Skim reading by satisficing: evidence from eye tracking


Reference:

Duggan, G. B. and Payne, S. J., 2011. Skim reading by satisficing: evidence from eye tracking. In: CHI '11 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York: ACM, pp. 1141-1150.

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    Official URL:

    http://dx.doi.org/10.1145/1978942.1979114

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    Abstract

    Readers on the Web often skim through text to cope with the volume of available information. In a previous study, Duggan and Payne [11] tracked readers' eye movements as they skimmed through expository text under time pressure. This article presents novel analyses of these eye-movement data. Results indicated that readers were able to explicitly direct attention to the most important information in the text and that this improved performance on a subsequent test of memory for the meaning of text. We suggest readers achieve this by satisficing - reading through text until the rate of information gain drops below threshold and then skipping to the next section of text. Further analyses of gaze patterns for paragraphs and pages supported this explanation. Combining satisficing with some form of scanning or sampling behaviour could explain patterns of reading found on the Web. A greater understanding of the way that text is read on the Web would assist many producers of online content.

    Details

    Item Type Book Sections
    CreatorsDuggan, G. B.and Payne, S. J.
    DOI10.1145/1978942.1979114
    Related URLs
    URLURL Type
    http://dx.doi.org/10.1145/1978942.1979114Free Full-text
    DepartmentsFaculty of Science > Computer Science
    Faculty of Humanities & Social Sciences > Health
    Publisher StatementDuggan_&_Payne,_11.pdf: © AM, 2011. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Duggan, G. B. and Payne, S. J., 2011. Skim reading by satisficing: evidence from eye tracking. In: CHI '11: Proceedings of the 2011 Annual Conference on Human Factors in Computing Systems. New York: ACM, pp. 1141-1150. http://dx.doi.org/10.1145/1978942.1979114
    StatusPublished
    ID Code24646
    Additional Information29th Annual CHI Conference on Human Factors in Computing Systems, CHI 2011. 7-12 May 2011. Vancouver, BC, Canada.

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