Effortless reading remains an issue for many Web users, despite a large number of readability guidelines available to designers. This paper presents a study of manual and automatic use of 39 readability guidelines in webpage evaluation. The study collected the ground-truth readability for a set of 50 webpages using eye-tracking with average and dyslexic readers (n = 79). It then matched the ground truth against human-based (n = 35) and automatic evaluations. The results validated 22 guidelines as being connected to readability. The comparison between human-based and automatic results also revealed a complex framework: algorithms were better or as good as human experts at evaluating webpages on specific guidelines – particularly those about low-level features of webpage legibility and text formatting. However, multiple guidelines still required a human judgment related to understanding and interpreting webpage content. These results contribute a guideline categorization laying the ground for future design evaluation methods.

Guideline-based evaluation of web readability / Miniukovich, A.; Scaltritti, M.; Sulpizio, S.; De Angeli, A.. - (2019), pp. 1-12. ((Intervento presentato al convegno 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019 tenutosi a Glasgow nel 2019 [10.1145/3290605.3300738].

Guideline-based evaluation of web readability

Miniukovich A.;Scaltritti M.;Sulpizio S.;
2019

Abstract

Effortless reading remains an issue for many Web users, despite a large number of readability guidelines available to designers. This paper presents a study of manual and automatic use of 39 readability guidelines in webpage evaluation. The study collected the ground-truth readability for a set of 50 webpages using eye-tracking with average and dyslexic readers (n = 79). It then matched the ground truth against human-based (n = 35) and automatic evaluations. The results validated 22 guidelines as being connected to readability. The comparison between human-based and automatic results also revealed a complex framework: algorithms were better or as good as human experts at evaluating webpages on specific guidelines – particularly those about low-level features of webpage legibility and text formatting. However, multiple guidelines still required a human judgment related to understanding and interpreting webpage content. These results contribute a guideline categorization laying the ground for future design evaluation methods.
Conference on Human Factors in Computing Systems - Proceedings
New York, NY
Association for Computing Machinery
9781450359702
Miniukovich, A.; Scaltritti, M.; Sulpizio, S.; De Angeli, A.
Guideline-based evaluation of web readability / Miniukovich, A.; Scaltritti, M.; Sulpizio, S.; De Angeli, A.. - (2019), pp. 1-12. ((Intervento presentato al convegno 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019 tenutosi a Glasgow nel 2019 [10.1145/3290605.3300738].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11572/242310
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