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How Serif and Sans Serif Typefaces Influence Reading on Screen: An Eye Tracking Study

  • Berrin Dogusoy
  • Filiz Cicek
  • Kursat Cagiltay
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9747)

Abstract

This study aims to investigate how serif and sans serif typefaces influence reading from screen. 10 graduate students voluntarily participated in the study. The data were collected in a laboratory setting. Participants were asked to find the misspelled words in two different texts written in serif and sans serif typeface. The participants tried to find the misspelled words in the texts, during the data collection there was no time limitation. Participants’ eye movements were recorded by Tobii 1750 eye tracker device. The data were analyzed according to the accuracy and eye behavior metrics. The findings showed that participants read from sans serif typeface faster and more accurate than serif typeface. The findings suggest that participants fixated on the misspelled words more on serif typeface than sans serif typeface, in terms of the total visit duration participants spent more time on serif typeface than sans serif typeface.

Keywords

Reading behavior Reading from screen Eye movement Serif Sans serif User interface 

References

  1. Banerjee, J., Majumdar, D., Pal, M.S.: Readability, subjective preference and mental workload studies on young Indian adults for selection of optimum font type and size during onscreen reading. Al Ameen J. Med. Sci. 4, 131–143 (2011)Google Scholar
  2. Bernard, M., Mills, M.: So, what size and type of font should I use on my website? Usability News 2.2 (2000). http://usabilitynews.org/so-what-size-and-type-of-font-should-i-use-on-my-website/
  3. Bernard, M.L., Lida, B., Riley, S., Hackler, T., Janzen, K.: A comparison of popular online fonts: which size and type is best? Usability News 4.4 (2002a). http://usabilitynews.org/a-comparison-of-two-computer-fonts-serif-versus-ornate-sans-serif/
  4. Bernard, M.L., Chaparro, B.S., Mills, M.M., Halcomb, C.G.: Examining children’s reading performance and preference for different computer-displayed text. Behav. Inf. Technol. 21(2), 87–96 (2002b)Google Scholar
  5. Bernard, M.L., Mills, M.M., Peterson, M., Storrer, K.: A comparison of popular online fonts: which is best and when? Usability News 3.2 (2001). http://usabilitynews.org/a-comparison-of-popular-online-fonts-which-is-best-and-when/
  6. Beymer, D., Russell, D., Orton, P.: An eye tracking study of how font size and type influence online reading. In: People and Computers xxii: Culture, Creativity, Interaction: Proceedings of HCI 2008, the 22nd British HCI Group Annual Conference, vol. 2. Presented at the 22nd British HCI Group Annual Conference, Liverpool John Moores University, UK: British Computer Society (2008). http://www.bcs.org/upload/pdf/ewic_hc08_v2_paper4.pdf
  7. Boyarski, D., Neuwirth, C., Forlizzi, J., Regli, S.H.: A study of fonts designed for screen display. In: Proceedings of CHI 1998, pp. 87–94. ACM, New York, NY (1998)Google Scholar
  8. Clifton Jr., C., Staub, A., Rayner, K.: Eye movements in reading words and sentences. In: Van Gompel, R., Fisher, M., Murray, W., Hill, R.L. (eds.) Eye Movement Research: A Window on Mind and Brain, pp. 341–372. Elsevier Ltd., Oxford (2007). Invited chapterCrossRefGoogle Scholar
  9. Darroch, I., Goodman, J., Brewster, S., Gray, P.: The effect of age and font size on reading text on handheld computers. In: Costabile, M.F., Paternó, F. (eds.) INTERACT 2005. LNCS, vol. 3585, pp. 253–266. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  10. Dillon, A., McKnight, C., Richardson, J.: Reading from paper versus reading from screens. Comput. J. 31(5), 457–464 (1988)CrossRefGoogle Scholar
  11. Doherty, S., O’Brien, S., Carl, M.: Eye tracking as an MT evaluation technique. Mach. Translat. 24(1), 1–13 (2009). SpringerCrossRefGoogle Scholar
  12. Dyson, M.C.: How physical text layout affects reading from screen. Behav. Inf. Technol. 23(6), 377–393 (2004)CrossRefGoogle Scholar
  13. Dyson, M.C., Haselgrove, M.: The effects of reading speed and reading patterns on the understanding of text read from screen. J. Res. Read. 23(2), 210–223 (2000)CrossRefGoogle Scholar
  14. Franken, G., Podlesek, A., Možina, K.: Eye-tracking study of reading speed from LCD displays: influence of type style and type size. J. Eye Mov. Res. 8(1), 1–8 (2015)Google Scholar
  15. Gould, J.L., Alfaro, L., Finn, R., Haupt, B., Minuto, A.: Why reading was slower from CRT displays than from paper. ACM SIGCHI Bull. 17, 7–11 (1987)CrossRefGoogle Scholar
  16. Holmqvist, K., Nyström, M., Andersson, R., Dewhurst, R., Jarodzka, H., Van De Weijer, J.: Eye Tracking a Comprehensive Guide to Methods and Measures. Oxford University Press, New York (2011)Google Scholar
  17. Horton, W., Taylor, L., Ignacio, A., Hoft, N.L.: The Web Page Design Cookbook. Wiley, New York (1996)Google Scholar
  18. Jeong, H.: A comparison of the influence of electronic books and paper books on reading comprehension, eye fatigue, and perception. Electron. Libr. 30(3), 390–408 (2012)CrossRefGoogle Scholar
  19. Jorna, G.C., Snyder, H.L.: Image quality determines differences in reading performance and perceived image quality with CRT and hard-copy displays. Hum. Factors 33(4), 459–469 (1991)Google Scholar
  20. Just, M.A., Carpenter, P.A.: A theory of reading: from eye fixations to comprehension. Psychol. Rev. 87, 329–354 (1980)CrossRefGoogle Scholar
  21. Kawasaki, Y., Sasaki, H., Yamaguchi, H., Yamaguchi, Y.: Cognitive conditions in text reading on a visual display terminal by different age groups. In: 10th WSEAS International Conference on Mathematical Methods and Computational Techniques in Electrical Engineering, Sofia, Bulgaria (2008)Google Scholar
  22. Liu, Z.: Reading behavior in the digital environment: changes in reading behavior over the past ten years. J. Documentation 61(6), 700–712 (2005)CrossRefGoogle Scholar
  23. Mackeben, M.: Typefaces influence peripheral letter recognition and can be optimized for reading with eccentric viewing. In: Paper Presented at the Vision 1999, New York (1999)Google Scholar
  24. Mangen, A., Walgermo, B.R., Bronnick, K.: Reading linear texts on paper versus computer screen: effects on reading comprehension. Int. J. Educ. Res. 58, 61–68 (2013)CrossRefGoogle Scholar
  25. Moret-Tatay, C., Perea, M.: Do serifs provide an advantage in the recognition of written words? J. Cogn. Psychol. 23(5), 619–624 (2011)CrossRefGoogle Scholar
  26. Rayner, K.: Eye movements in reading and information processing: 20 years of research. Psychol. Bull. 124, 372–422 (1998)CrossRefGoogle Scholar
  27. Rayner, K., Pollatsek, A.: The Psychology of Reading. Lawrence Erlbaum Associates, Hillsdale (1989)Google Scholar
  28. Rayner, K., Morris, R.K.: Eye movement control in reading: evidence against semantic preprocessing. J. Exp. Psychol. Hum. Percept. Perform. 5, 522–526 (1992)Google Scholar
  29. Rello, L., Marcos, M.-C.: An eye tracking study on text customization for user performance and preference. In: The 8th Edition of the Latin American Web Congress, Cartagena, Colombia (2012). http://www.taln.upf.edu/system/files/biblio_files/laweb2012.pdf
  30. Rose, E.: The phenomenology of on-screen reading: university students’ lived experience of digitized text. Br. J. Educ. Technol. 42(3), 515–526 (2011)CrossRefGoogle Scholar
  31. Salvucci, D.D.: An integrated model of eye movements and visual encoding. J. Cogn. Syst. Res. 1, 201–220 (2001)CrossRefGoogle Scholar
  32. Schotter, E.R., Bicknell, K., Howard, I., Levy, R., Rayner, K.: Task effects reveal cognitive flexibility responding to frequency and predictability: evidence from eye movements in reading and proofreading. Cognition 131, 1–27 (2012)CrossRefGoogle Scholar
  33. Tullis, T.S., Boynton, J.L., Hersch, H.: Readability of fonts in the windows environment. In: Proceedings of CHI 1995, pp. 127–128. ACM Press, Denver, CO (1995)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Computer Education and Instructional TechnologyMersin UniversityMersinTurkey
  2. 2.Department of Computer Education and Instructional TechnologyMiddle East Technical UniversityAnkaraTurkey

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