Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/10941
Title: A Heuristic Evaluation for Deaf Web User Experience (HE4DWUX)
Authors: Yeratziotis, Alexandros 
Zaphiris, Panayiotis 
Keywords: Human computer interaction;Iterative methods;User interfaces;Websites;Deaf web user
Category: Electrical Engineering - Electronic Engineering - Information Engineering
Field: Engineering and Technology
Issue Date: 4-Mar-2018
Publisher: Taylor and Francis Inc.
Source: International Journal of Human-Computer Interaction, 2018, Volume 34, Issue 3, Pages 195-217
DOI: https://doi.org/10.1080/10447318.2017.1339940
Abstract: Websites that are usable and accessible can have a positive impact on the overall user experience. Usability Inspection Methods (UIMs) can be applied to evaluate and measure the usability. The current research in the fields of Web Accessibility and Human –Computer Interaction (HCI) is in need of additional UIMs that can be applied to also measure the accessibility, in addition to the usability alone. In this article, a novel UIM in the form of a heuristic evaluation is presented. The heuristic evaluation aims to support HCI experts and Web developers in designing and evaluating websites that provide positive user experiences to users who are deaf. This article discusses the development of the Heuristic Evaluation for Deaf Web User Experience (HE4DWUX). Following an iteration cycle, version 2 of the HE4DWUX is presented in Appendix A. An existing three-phase process to develop heuristics for specific application domains was applied to construct the HE4DWUX. The outcome of this research is 12 heuristics, with each containing its own set of checklist items to operationalize its applicability in measuring the Web user experience for users who are deaf. The heuristics and their checklist items can identify important aspects of design that will impact the Web user experience for this particular user group.
URI: http://ktisis.cut.ac.cy/handle/10488/10941
ISSN: 10447318
Rights: © 2017 Taylor & Francis Group, LLC.
Type: Article
Appears in Collections:Άρθρα/Articles

Show full item record

Page view(s) 50

91
Last Week
1
Last month
3
checked on Feb 17, 2020

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.