Abstract
Readable text is a key ingredient in a universally accessible web. WCAG2.1 recommends that text should be readable by someone with basic schooling, a criterion that is hard to quantify and implement. Writers rely on qualitative clear-language recommendations, their own experience, and tools. This study set out to investigate if one class of such tools, automatic grammar checkers, has a measurable effect on the readability of text. A controlled experiment was conducted employing 15 participants who brought a piece of their own writing to the experiment tasked with improving the text using a grammar checker. Changes in readability of the text before and after applying the grammar tool were measured. Results show that there were significant reductions in error rates by applying the grammar tool, while there were no significant effects on readability. The results suggest that other automatic tools beside grammar checkers are needed to improve readability. These results have implications for web content providers.
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References
Bailin, A., Grafstein, A.: Grammar and readability. In: Readability: Text and Context, pp. 65–96. Springer, London (2016). https://doi.org/10.1057/9781137388773_3
Benjamin, R.G.: Reconstructing readability: recent developments and recommendations in the analysis of text difficulty. Educ. Psychol. Rev. 24, 63–88 (2012)
Berget, G., Sandnes, F. E.: Searching databases without query-building aids: implications for dyslexic users. Inf. Res. 20(4) (2015). http://www.informationr.net/ir/
Berget, G., Mulvey, F., Sandnes, F.E.: Is visual content in textual search interfaces beneficial to dyslexic users? Int. J. Hum Comput Stud. 92, 17–29 (2016)
Boye, A.: Teaching, Learning, & Professional Development Center. https://www.depts.ttu.edu/tlpdc/Resources/Teaching_resources/TLPDC_teaching_resources/StudentWriting.php (2017)
Brathovde, K., Farner, M.B., Brun, F.K., Sandnes, F.E.: Effectiveness of color-picking interfaces among non-designers. In: Luo, Y. (ed.) CDVE 2019. LNCS, vol. 11792, pp. 181–189. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-30949-7_21
Brinck, T., Gergle, D., Wood, S.D.: Writing for the web. In: Usability for the Web: Designing Web Sites that Work, pp. 244–301. Morgan Kaufmann, San Francisco (2003)
Cavaleri, M.R., Dianati, S.: You want me to check your grammar again? The usefulness of an online grammar checker as perceived by students. J. Acad. Lang. Learn. 10, A223–A236 (2016)
Charney, D.: The validity of using holistic scoring to evaluate writing: a critical overview. Res. Teach. Engl. 18, 65–81 (1984)
Chung, J.-W., Min, H.-J., Kim, J., Park, J.C.: Enhancing readability of web documents by text augmentation for deaf people. In: Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics, pp. Article 30. Association for Computing Machinery, Madrid, Spain (2013). https://doi.org/10.1145/2479787.2479808
Dale, E., Chall, J.: The concept of readability. Elementary Engl. 26(1), 19–26 (1949)
Dale, R.: Checking in on grammar checking. Nat. Lang. Eng. 22, 491–495 (2016)
Dubay, W.: The Principles of Readability. CA 92627949, 631-3309 (2004)
Eika, E., Sandnes, F.E.: Assessing the reading level of web texts for WCAG2.0 compliance—can it be done automatically? In: Di Bucchianico, G., Kercher, P. (eds.) Advances in Design for Inclusion, pp. 361–371. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-41962-6_32
Eika, E., Sandnes, F.E.: Authoring WCAG2. 0-compliant texts for the web through text readability visualization. In: International Conference on Universal Access in Human-Com-puter Interaction, pp. 49–58. Springer, Cham (2016)
Eika, E.: Universally designed text on the web: towards readability criteria based on anti-patterns. Stud. Health Technol. Inform 229, 461–470 (2016)
Flesch, R.: A new readability yardstick. J. Appl. Psychol. 32(3), 221–233 (1948)
Gilliland, J.: The concept of readability. Reading 2, 24–29 (1968). https://doi.org/10.1111/j.1467-9345.1968.tb00749.x
Grammarly: Write your best with Grammarly (n.d.). https://www.grammarly.com/
Gray, W.S., Leary, B.E.: What Makes a Book Readable?. University Chicago Press, Oxford (1935)
Gunning, R.: The Technique of Clear Writing. McGraw-Hill, New York (1971)
Habib, L., et al.: Dyslexic students in higher education and virtual learning environments: an exploratory study. J. Comput. Assist. Learn. 28(6), 574–584 (2012)
Hansen, F., Krivan, J.J., Sandnes, F.E.: Still not readable? an interactive tool for recommending color pairs with sufficient contrast based on existing visual designs. In: The 21st International ACM SIGACCESS Conference on Computers and Accessibility, pp. 636–638. ACM (2019). https://doi.org/10.1145/3308561.3354585
Hargis, G.: Readability and computer documentation. ACM J. Comput. Document. 24, 122–131 (2000)
Hines, R., Basso, J.: Do communication students have the “Write Stuff”?: practitioners evaluate writing skills of entry-level workers. J. Promot. Manag. 14, 293–307 (2008). https://doi.org/10.1080/10496490802625817
Jacobs, H., Zinkgraf, S., Wormuth, D., Hearfiel, V., Hughey, J.: Testing ESL Composition: A Practical Approach. Newbury House Publishers, Inc., Rowley, Massachusetts (1981)
Janssen, G., Meier, V., Trace, J.: Building a better rubric: Mixed methods rubric revision. Assess. Writ. 26 (2015). https://doi.org/10.1016/j.asw.2015.07.002
JASP Team: JASP (Version 0.11.1) [Computer software] (2019)
Jatowt, A., Tanaka, K.: Is Wikipedia too difficult? comparative analysis of readability of Wikipedia, simple Wikipedia and Britannica. In: Proceedings of the 21st ACM International Conference on Information and Knowledge Management, pp. 2607–2610. Association for Computing Machinery, Maui (2012). https://doi.org/10.1145/2396761.2398703
Jönsson, A., Svingby, G.: The use of scoring rubrics: reliability, validity and educational consequences. Educ. Res. Rev. 2, 130–144 (2007). https://doi.org/10.1016/j.edurev.2007.05.002
Kadayat, B.B., Eika, E.: Impact of sentence length on the readability of web for screen reader users. In: International Conference on Universal Access in Human-Computer Inter-action. Springer, Cham (2020). LNCS 12188
Klare, G.: The measurement of readability: useful information for communicators. ACM J. Comput. Doc. 24, 107–121 (2000). https://doi.org/10.1145/344599.344630
Klimova, B.: Evaluating writing in English as a second language. Procedia Soc. Behav. Sci. 28, 390–394 (2011). https://doi.org/10.1016/j.sbspro.2011.11.074
Lidwell, W., Holden, K., Butler, J.: Universal principles of design, revised and updated: 125 ways to enhance usability, influence perception, increase appeal, make better design decisions, and teach through design. Rockport Pub 198 (2010)
Mahon, R.: A grading system for composition papers. Clear. House 69, 280–282 (1996). https://doi.org/10.1080/00098655.1996.10114317
Mc Laughlin, G.H.: SMOG grading-a new readability formula. J. Read. 12, 639–646 (1969)
McKinley, V.: Keeping it simple: making regulations write in plan language. Regulation 21, 30 (1998)
Meade, C., Smith, C.: Readability formulas: cautions and criteria. Patient Educ. Couns. 17, 153–158 (1991). https://doi.org/10.1016/0738-3991(91)90017-Y
Moskal, B., Leydens, J.: Scoring rubric development: validity and reliability. Pract. Assess. Res. Eval. 7 (2000). https://doi.org/10.7275/q7rm-gg74
Schraudner, M.: The online teacher’s assistant: using automated correction programs to supplement learning and lesson planning. CELE J. 22, 128–140 (2014)
ONeill, R., Russell, A.: Stop! grammar time: university students’ perceptions of the automated feedback program Grammarly. Australasian J. Educ. Technol. 35, 42–56 (2019). https://doi.org/10.14742/ajet.3795
Pedersen, L. A., Einarsson, S. S., Rikheim, F. A., Sandnes, F. E.: User interfaces in dark mode during daytime – improved productivity or just cool-looking? In: Antona, M., Stephanidis, C. (eds.) HCII 2020, LNCS, vol. 12188, pp. 178–187. Springer, Cham (2020)
Pitler, E., Nenkova, A.: Revisiting readability: a unified framework for predicting text quality. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 186–195. Association for Computational Linguistics, Honolulu, Hawaii (2008)
Rakedzon, T.: To make a long story short: a rubric for assessing graduate students’ academic and popular science writing skills. Assess. Writ. 32 (2017). https://doi.org/10.1016/j.asw.2016.12.004
Sandnes, F.E.: Universell utforming av IKT-systemer, 2nd edn. Universitetsforlaget, Oslo (2018)
Sandnes, F.E.: On-screen colour contrast for visually impaired readers: selecting and exploring the limits of WCAG2.0 colours. In: Black, A., Lund, O., Walker, S. (eds.) Information Design: Research and Practice, pp. 405–416 (2016)
Sandnes, F. E.: Understanding WCAG2. 0 color contrast requirements through 3D color space visualization. Stud. Health Technol. Inform. 229, 366–375 (2016). https://doi.org/10.3233/978-1-61499-684-2-366
Sandnes, F. E., Zhao, A.: An interactive color picker that ensures WCAG2.0 compliant color contrast levels. Procedia Comput. Sci. 67, 87–94 (2015). https://doi.org/10.1016/j.procs.2015.09.252
Sandnes, F.E., Zhao, A.: A contrast colour selection scheme for WCAG2. 0-compliant web designs based on HSV-half-planes. In: 2015 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1233–1237. IEEE (2015). https://doi.org/10.1109/smc.2015.220
Sandnes, F.E.: An image-based visual strategy for working with color contrasts during design. In: Miesenberger, K., Kouroupetroglou, G. (eds.) ICCHP 2018. LNCS, vol. 10896, pp. 35–42. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-94277-3_7
Schriver, K.A.: Readability formulas in the new millennium: what’s the use? ACM J. Comput. Doc. 24, 138–140 (2000)
W3C: Web Content Accessibility Guidelines (WCAG) 2.1, 5 June 2018. https://www.w3.org/TR/WCAG21/
Weigle, S.C.: Assessing Writing. Cambridge University Press, Cambridge (2002)
Wright, N.: Free eBook: StyleWriter’s New BOG INDEX Readability Formula: Readability Software. http://www.stylewriter-usa.com/bog-index-readability-formula.php
Yu, C.-H., Miller, R.C.: Enhancing web page readability for non-native readers. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2523–2532. Association for Computing Machinery, Atlanta, Georgia, USA (2010). https://doi.org/10.1145/1753326.1753709
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Kaushik, H.M., Eika, E., Sandnes, F.E. (2020). Towards Universal Accessibility on the Web: Do Grammar Checking Tools Improve Text Readability?. In: Antona, M., Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. Design Approaches and Supporting Technologies. HCII 2020. Lecture Notes in Computer Science(), vol 12188. Springer, Cham. https://doi.org/10.1007/978-3-030-49282-3_19
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