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David Beymer

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Publications by David Beymer (bibliography)

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» 2008 «

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Beymer, David, Russell, Daniel and Orton, Peter (2008): An Eye Tracking Study of How Font Size and Type Influence Online Reading. In: Proceedings of the HCI08 Conference on People and Computers XXII 2008. pp. 15-18. Available online

In order to maximize online reading performance and comprehension, how should a designer choose typographical variables such as font size and font type? This paper presents an eye tracking study of how font size and font type affect online reading. In a between-subjects design, we collected data from 82 subjects reading stories formatted in a variety of point sizes, san serif, and serif fonts. Reading statistics such as reading speed were computed, and post-tests of comprehension were recorded. For smaller font sizes, fixation durations are significantly longer, resulting in slower reading -- but not significantly slower. While there were no significant differences in serif vs. san serif fonts, serif reading was slightly faster. Significant eye tracking differences were found for demographic variables such as age group and whether English is the subject's first language.

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» 2007 «

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Beymer, David, Orton, Peter Z. and Russell, Daniel M. (2007): An Eye Tracking Study of How Pictures Influence Online Reading. In: Baranauskas, Maria Cecília Calani, Palanque, Philippe A., Abascal, Julio and Barbosa, Simone Diniz Junqueira (eds.) DEGAS 2007 - Proceedings of the 1st International Workshop on Design and Evaluation of e-Government Applications and Services September 11th, 2007, Rio de Janeiro, Brazil. pp. 456-460. Available online

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Beymer, David and Russell, Daniel M. (2005): WebGazeAnalyzer: a system for capturing and analyzing web reading behavior using eye gaze. In: Proceedings of ACM CHI 2005 Conference on Human Factors in Computing Systems 2005. pp. 1913-1916. Available online

Capturing and analyzing the detailed eye movements of a user while reading a web page can reveal much about the ways in which web reading occurs. The WebGazeAnalyzer system described here is a remote-camera system, requiring no invasive head-mounted apparatus, giving test subjects a normal web use experience when performing web-based tasks. While many such systems have been used in the past to collect eye gaze data, WebGazeAnalyzer brings together several techniques for efficiently collecting, analyzing and re-analyzing eye gaze data. We briefly describe techniques for overcoming the inherent inaccuracies of such apparatus, illustrating how we capture and analyze eye gaze data for commercial web design problems. Techniques developed here include methods to group fixations along lines of text, and reading analysis to measure reading speed, regressions, and coverage of web page text.

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Changes to this page (author)

26 Feb 2010: Enabled abstracts to be shown on David Beymer's author page.
25 Jul 2009: Author was edited
12 Jul 2009: Author was edited
29 Jun 2007: Author was added to the bibliography

Publication statistics

Publication period:2005-2008
Publication count:3
Number of co-authors:4



Productive colleagues

David Beymer's 3 most productive colleagues in number of publications:

Daniel M. Russell:42
Peter Z. Orton:1
Daniel Russell:1


Collaboration count

Number of publications with 3 favourite co-authors:

Daniel M. Russell:2
Peter Z. Orton:1
Daniel Russell:1

 

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Mar 21

Software design is the act of determining the user's experience with a piece of software. It has nothing to do with how the code works inside, or how big or small the code is. The designer's task is to specify completely and unambiguously the user's whole experience.

-- David Liddle, From Bringing Design to Software, edited by Terry Winograd, 1996

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