Abstract
In this world of digitization, screen reading has grown immensely due to the availability of affordable display devices. Most of the people prefer to read on display devices as compared to the print media. To make the reading experience of the reader pleasant and comfortable, the font designers strive hard to choose suitable typographical properties of the text such as font type, font size etc. Some of the researchers suggest that the typography of the text affects the reading performance of the readers to some extent. However, the research focusing on the effect of typography on the reading behavior of the readers is limited and it is hardly touched upon for the Indian scripts. Therefore, the proposed paper aims to find out the effect of Devanagari font type on the reading performance, especially reading comprehension of the readers. In addition to this, a method to reduce the error in the gaze estimation of the eye tracker is also proposed. In order to understand the reading behavior, an eye tracking experiment is performed on 14 participants asking them to read 22 pages, in 3 different font types, presented on the screen of the eye tracker. The performance of the readers is analyzed in terms of total reading time, comprehension score, number of fixations, fixation duration and number of regressions. Our results show that there is a significant difference in the fixation duration, a number of fixations and the comprehension score, when the same document is read in different font type. Thus, there is a scope for improvement in the reading comprehension, by changing the physical properties of the document without changing its content. These findings might be useful to understand the readers’ preference for the font and to design a proper font type for online reading.
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References
Katzir, T., Hershko, S., Halamish, V.: The effect of font size on reading comprehension on second and fifth grade children: bigger is not always better. PLoS ONE 8(9), e74061 (2013)
Dalvi, G.: Conceptual model for Devanagari typefaces. Doctoral dissertation, Ph.D. thesis, Industrial Design Centre, Indian Institute of Technology Bombay (2010)
Bernard, M., Lida, B., Riley, S., Hackler, T., & Janzen, K.: A comparison of popular online fonts: Which size and type is best. Usability news, 4(1). (2002)
Akhmadeeva, L., Tukhvatullin, I., Veytsman, B.: Do serifs help in comprehension of printed text? An experiment with Cyrillic readers. Vision Res. 65, 21–24 (2012)
Beymer, D., Russell, D., Orton, P.: An eye tracking study of how font size and type influence online reading. In: Proceedings of the 22nd British HCI Group Annual Conference on People and Computers: Culture, Creativity, Interaction, vol. 2, pp. 15–18. BCS Learning & Development Ltd. (2008)
Rayner, K.: Eye movements in reading and information processing: 20 years of research. Psychol. Bull. 124(3), 372 (1998)
Raney, G.E., Campbell, S.J., Bovee, J.C.: Using eye movements to evaluate the cognitive processes involved in text comprehension. J. Visual. Exp. JoVE, (83) (2014)
Yoshimura, K., Kise, K., Kunze, K.: The eye as the window of the language ability: estimation of English skills by analyzing eye movement while reading documents. In: 2015 13th International Conference on Document Analysis and Recognition (ICDAR), pp. 251–255. IEEE (2015)
Ralekar, C., Gandhi, T.K., Chaudhury, S.: Unlocking the mechanism of devanagari letter identification using eye tracking. In: Shankar, B.U., Ghosh, K., Mandal, D.P., Ray, S.S., Zhang, D., Pal, S.K. (eds.) PReMI 2017. LNCS, vol. 10597, pp. 219–226. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-69900-4_28
http://ncertbooks.prashanthellina.com/class_8.Hindi.Vasant. Accessed 7 July 2017
Salvucci, D.D., Goldberg, J.H.: Identifying fixations and saccades in eye-tracking protocols. In: Proceedings of the 2000 Symposium on Eye Tracking Research and Applications, pp. 71–78. ACM (2000)
Garain, U., Pandit, O., Augereau, O., Okoso, A., Kise, K.: Identification of reader specific difficult words by analyzing eye gaze and document content. In: 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), pp. 1346–1351. IEEE (2017)
Miller, B.W.: Using reading times and eye-movements to measure cognitive engagement. Educ. Psychol. 50(1), 31–42 (2015)
Acknowledgements
We would like to thank all the participants participated in our study. We would also like to thank the Visvesvaraya PhD Scheme/DIC/MeitY for providing financial assistance to the first author to carry out research.
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Ralekar, C., Saha, P., Gandhi, T.K., Chaudhury, S. (2018). Effect of Devanagari Font Type in Reading Comprehension: An Eye Tracking Study. In: Tiwary, U. (eds) Intelligent Human Computer Interaction. IHCI 2018. Lecture Notes in Computer Science(), vol 11278. Springer, Cham. https://doi.org/10.1007/978-3-030-04021-5_13
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DOI: https://doi.org/10.1007/978-3-030-04021-5_13
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