An application of FCM for increasing usability: Automation of heuristic evaluation

OData support
Supervisor:
Dr. Kóczy László Tamás
Department of Telecommunications and Media Informatics

Usability Heuristics are being widely used as a means of evaluating user interfaces. However,

little existing work has been done that focused on assessing the variable effect violations of

these heuristics have on said systems. In this thesis work, a methodology is presented for

evaluating the usability of systems that deploys a refined version of J. Nielsen’s usability

heuristics. Fuzzy Cognitive Maps is used to model the dynamic relationships heuristic

usability violations exhibit on one another, with the guidance of experts in both fields.

Using the developed method, stakeholders who are trying to enhance and improve the

overall usability of their systems, would be supplied with invaluable insights that can guide

their focus and limited resources towards fixing the subset of issues that, collectively, has

the worst effect on the usability of their systems during any given iteration. In addition, a

new approach to modeling user interfaces is outlined in an effort to pave the way for the

automation of heuristic evaluation.

Downloads

Please sign in to download the files of this thesis.