Skim reading by satisficing: evidence from eye tracking

Geoffrey B Duggan, Stephen J Payne

Research output: Chapter in Book/Report/Conference proceedingConference contribution

49 Citations (Scopus)
610 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationCHI '11 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Pages1141-1150
Number of pages10
ISBN (Print)9781450302289
DOIs
Publication statusPublished - 2011
Event29th Annual CHI Conference on Human Factors in Computing Systems, CHI 2011, May 7, 2011 - May 12, 2011 - Vancouver, BC, Canada
Duration: 1 Jan 2011 → …

Conference

Conference29th Annual CHI Conference on Human Factors in Computing Systems, CHI 2011, May 7, 2011 - May 12, 2011
CountryCanada
CityVancouver, BC
Period1/01/11 → …

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  • Cite this

    Duggan, G. B., & 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 (pp. 1141-1150). Association for Computing Machinery. https://doi.org/10.1145/1978942.1979114