Web Accessibility Evaluation Methods: A Systematic Review

Almendra Nuñez, Arturo Moquillaza, Freddy Paz

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciaInvestigaciónrevisión exhaustiva

Resumen

In this paper, we present the results of a systematic review involving the techniques or methods of web accessibility currently used, the domains that have been covered and the disabilities that were focused. The search strategy identified 343 studies, where only 20 were finally selected for the review. We found that automatic tools are the most frequent techniques used to evaluate web accessibility. In addition, most studies performed in the educational domain and the majority of studies do not focus on a special disability.

Idioma originalInglés
Título de la publicación alojadaDesign, User Experience, and Usability. Practice and Case Studies - 8th International Conference, DUXU 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
EditoresAaron Marcus, Wentao Wang
EditorialSpringer Verlag
Páginas226-237
Número de páginas12
ISBN (versión impresa)9783030235345
DOI
EstadoPublicada - 1 ene 2019
Evento8th International Conference on Design, User Experience, and Usability, DUXU 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, Estados Unidos
Duración: 26 jul 201931 jul 2019

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen11586 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia8th International Conference on Design, User Experience, and Usability, DUXU 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
PaísEstados Unidos
CiudadOrlando
Período26/07/1931/07/19

Huella dactilar

Web Accessibility
Disability
Evaluation Method
Search Strategy
Evaluate
Review
Education

Citar esto

Nuñez, A., Moquillaza, A., & Paz, F. (2019). Web Accessibility Evaluation Methods: A Systematic Review. En A. Marcus, & W. Wang (Eds.), Design, User Experience, and Usability. Practice and Case Studies - 8th International Conference, DUXU 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings (pp. 226-237). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11586 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-23535-2_17
Nuñez, Almendra ; Moquillaza, Arturo ; Paz, Freddy. / Web Accessibility Evaluation Methods : A Systematic Review. Design, User Experience, and Usability. Practice and Case Studies - 8th International Conference, DUXU 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. editor / Aaron Marcus ; Wentao Wang. Springer Verlag, 2019. pp. 226-237 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{ae0887782eb44eff882ac65eb77694c3,
title = "Web Accessibility Evaluation Methods: A Systematic Review",
abstract = "In this paper, we present the results of a systematic review involving the techniques or methods of web accessibility currently used, the domains that have been covered and the disabilities that were focused. The search strategy identified 343 studies, where only 20 were finally selected for the review. We found that automatic tools are the most frequent techniques used to evaluate web accessibility. In addition, most studies performed in the educational domain and the majority of studies do not focus on a special disability.",
keywords = "Evaluation methods, Human-Computer Interaction, Software applications, Systematic review, Web accessibility",
author = "Almendra Nu{\~n}ez and Arturo Moquillaza and Freddy Paz",
year = "2019",
month = "1",
day = "1",
doi = "10.1007/978-3-030-23535-2_17",
language = "Ingl{\'e}s",
isbn = "9783030235345",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "226--237",
editor = "Aaron Marcus and Wentao Wang",
booktitle = "Design, User Experience, and Usability. Practice and Case Studies - 8th International Conference, DUXU 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings",

}

Nuñez, A, Moquillaza, A & Paz, F 2019, Web Accessibility Evaluation Methods: A Systematic Review. En A Marcus & W Wang (eds.), Design, User Experience, and Usability. Practice and Case Studies - 8th International Conference, DUXU 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11586 LNCS, Springer Verlag, pp. 226-237, Orlando, Estados Unidos, 26/07/19. https://doi.org/10.1007/978-3-030-23535-2_17

Web Accessibility Evaluation Methods : A Systematic Review. / Nuñez, Almendra; Moquillaza, Arturo; Paz, Freddy.

Design, User Experience, and Usability. Practice and Case Studies - 8th International Conference, DUXU 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. ed. / Aaron Marcus; Wentao Wang. Springer Verlag, 2019. p. 226-237 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11586 LNCS).

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciaInvestigaciónrevisión exhaustiva

TY - GEN

T1 - Web Accessibility Evaluation Methods

T2 - A Systematic Review

AU - Nuñez, Almendra

AU - Moquillaza, Arturo

AU - Paz, Freddy

PY - 2019/1/1

Y1 - 2019/1/1

N2 - In this paper, we present the results of a systematic review involving the techniques or methods of web accessibility currently used, the domains that have been covered and the disabilities that were focused. The search strategy identified 343 studies, where only 20 were finally selected for the review. We found that automatic tools are the most frequent techniques used to evaluate web accessibility. In addition, most studies performed in the educational domain and the majority of studies do not focus on a special disability.

AB - In this paper, we present the results of a systematic review involving the techniques or methods of web accessibility currently used, the domains that have been covered and the disabilities that were focused. The search strategy identified 343 studies, where only 20 were finally selected for the review. We found that automatic tools are the most frequent techniques used to evaluate web accessibility. In addition, most studies performed in the educational domain and the majority of studies do not focus on a special disability.

KW - Evaluation methods

KW - Human-Computer Interaction

KW - Software applications

KW - Systematic review

KW - Web accessibility

UR - http://www.scopus.com/inward/record.url?scp=85069747285&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-23535-2_17

DO - 10.1007/978-3-030-23535-2_17

M3 - Contribución a la conferencia

SN - 9783030235345

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 226

EP - 237

BT - Design, User Experience, and Usability. Practice and Case Studies - 8th International Conference, DUXU 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings

A2 - Marcus, Aaron

A2 - Wang, Wentao

PB - Springer Verlag

ER -

Nuñez A, Moquillaza A, Paz F. Web Accessibility Evaluation Methods: A Systematic Review. En Marcus A, Wang W, editores, Design, User Experience, and Usability. Practice and Case Studies - 8th International Conference, DUXU 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. Springer Verlag. 2019. p. 226-237. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-23535-2_17