PreprintArticleVersion 1This version is not peer-reviewed
Towards Designing a Set of Usability and Accessibility Heu-ristics focused on Cognitive Diversity: An Exploratory Case Study with Generative Artificial Intelligence
Version 1
: Received: 30 October 2024 / Approved: 30 October 2024 / Online: 30 October 2024 (13:05:38 CET)
How to cite:
Pascual Almenara, A.; Sayago Barrantes, S. Towards Designing a Set of Usability and Accessibility Heu-ristics focused on Cognitive Diversity: An Exploratory Case Study with Generative Artificial Intelligence. Preprints2024, 2024102444. https://doi.org/10.20944/preprints202410.2444.v1
Pascual Almenara, A.; Sayago Barrantes, S. Towards Designing a Set of Usability and Accessibility Heu-ristics focused on Cognitive Diversity: An Exploratory Case Study with Generative Artificial Intelligence. Preprints 2024, 2024102444. https://doi.org/10.20944/preprints202410.2444.v1
Pascual Almenara, A.; Sayago Barrantes, S. Towards Designing a Set of Usability and Accessibility Heu-ristics focused on Cognitive Diversity: An Exploratory Case Study with Generative Artificial Intelligence. Preprints2024, 2024102444. https://doi.org/10.20944/preprints202410.2444.v1
APA Style
Pascual Almenara, A., & Sayago Barrantes, S. (2024). Towards Designing a Set of Usability and Accessibility Heu-ristics focused on Cognitive Diversity: An Exploratory Case Study with Generative Artificial Intelligence. Preprints. https://doi.org/10.20944/preprints202410.2444.v1
Chicago/Turabian Style
Pascual Almenara, A. and Sergio Sayago Barrantes. 2024 "Towards Designing a Set of Usability and Accessibility Heu-ristics focused on Cognitive Diversity: An Exploratory Case Study with Generative Artificial Intelligence" Preprints. https://doi.org/10.20944/preprints202410.2444.v1
Abstract
This paper discusses the design and evaluation of a set of heuristics (U+A) to assess the usability and accessibility of interactive systems in terms of cognitive diversity in an integrated way. Method: An analysis of the usability and accessibility aspects that have the greatest impact on people with cognitive disabilities is presented. A set of cognitive usability and accessibility heu-ristics targeted at people with cognitive disabilities is generated with the support of Generative Artificial Intelligence (GenAI). Result: Several interactive systems are evaluated to validate the U+A heuristics. A quantitative classification of the evaluated systems is obtained, i.e., the “U+Aindex”, which reveals the most and least usable and accessible systems for people with cognitive and learning disabilities. Conclusion: This study demonstrates that it is possible to car-ry out a classification of heuristic criteria considering accessibility, usability, and cognitive disa-bility. The results also show that the selection of criteria proposed by GenAI is optimal and that this technology can be used to improve usability and accessibility of interactive systems in a practical way. Yet, further evaluations are needed to support the results of the analyzed proposal.
Keywords
Artificial Intelligence; Generative AI (GenAI), Accessibility; Heuristic Evaluation; Usability
Subject
Engineering, Telecommunications
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
