A Study on Recent Research Trend on Web Accessibility Evaluation in Korea

KIPS Transactions on Software and Data Engineering, Vol. 7, No.1, pp.33-42, January 2018
10.3745/KTSDE.2018.7.1.033, Full Text

Abstract

The purpose of this study is to suggest the shortcomings and the direction of the web accessibility evaluation studies by analyzing the research trends on web accessibility evaluation in Korea. For this aim, a total of 59 theses presented in the registered academic journal and the candidate of registration academic journals from January 2000 to March 2017 were selected. The selected dissertations have been analyzed based on the evaluators, the evaluation targets, the evaluation methods, and the evaluation results with regard to web accessibility. As a result of the analysis, the highest rate in the evaluator aspect was ‘independent evaluation (66 percent)’ and the highest percentage in the evaluation target aspect was ‘web site (83 percent)’. When it came to the evaluation methods, automatic evaluation and the mixture of automatic evaluation and manual evaluation had a similar percentage. Lastly, only two papers showed that web accessibility did not have any problems. This study is meaningful in the sense that it suggested a desirable direction for the web accessibility studies in Korea and web accessibility evaluation studies in the situation when the meta studies which analyzed research trends are insufficient.


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Cite this paper

[KIPS Transactions Style]
M. Kim and J. Kim, "A Study on Recent Research Trend on Web Accessibility Evaluation in Korea," KIPS Transactions on Software and Data Engineering, Vol.7, No.1, pp.33-42, 2018, DOI: 10.3745/KTSDE.2018.7.1.033.

[IEEE Style]
MiJeong Kim and JaMee Kim, "A Study on Recent Research Trend on Web Accessibility Evaluation in Korea," KIPS Transactions on Software and Data Engineering, vol. 7, no. 1, pp. 33-42, 2018. DOI: 10.3745/KTSDE.2018.7.1.033.

[ACM Style]
Kim, M. and Kim, J. 2018. A Study on Recent Research Trend on Web Accessibility Evaluation in Korea. KIPS Transactions on Software and Data Engineering, 7, 1, (2018), 33-42. DOI: 10.3745/KTSDE.2018.7.1.033.