Usability analysis taking into consideration the aspects of accessibility of selected university websites
Article Sidebar
Open full text
Issue Vol. 21 (2021)
-
Comparison of selected mathematical functions for the analysis of growth behavior of items and physical interpretation of Avrami-Weibull function
Keshra Sangwal259-278
-
Comparison of classical machine learning algorithms in the task of handwritten digits classification
Oleksandr Voloshchenko, Małgorzata Plechawska-Wójcik279-286
-
The comparative analysis of Java frameworks: Spring Boot, Micronaut and Quarkus
Maciej Jeleń, Mariusz Dzieńkowski287-294
-
Usability analysis taking into consideration the aspects of accessibility of selected university websites
Karol Kałan, Damian Karpiuk, Mariusz Dzieńkowski295-302
-
A comparison of conventional and deep learning methods of image classification
Maryna Dovbnych, Małgorzata Plechawska–Wójcik303-308
-
Comparative analysis of connection performance with databases via JDBC interface and ORM programming frameworks
Mateusz Żuchnik, Piotr Kopniak309-315
-
Examination of text's lexis using a Polish dictionary
Roman Voitovych, Edyta Łukasik316-323
-
Comparison of capabilities of the Unity environment and LibGDX in terms of computer game development
Piotr Kosidło, Karol Kowalczyk, Marcin Badurowicz324-329
-
Performance analysis of the TensorFlow library with different optimisation algorithms
Maciej Wadas, Jakub Smołka330-335
-
Analysis of user experience during interaction with selected CMS platforms
Michał Miszczak, Mariusz Dzieńkowski336-343
-
Analysis of polish community on streaming platform twitch.tv during COVID-19 epidemy
Kamil Jeżowski, Marcin Badurowicz344-348
-
A study of the user experience when interacting with applications that work with sports armbands to monitor human activity
Mateusz Kiryczuk, Paweł Kocyła, Mariusz Dzieńkowski349-355
-
Performance comparison of programming interfaces on the example of REST API, GraphQL and gRPC
Mariusz Śliwa, Beata Pańczyk356-361
-
Digital entertainment in the face of COVID-19
Adam Jarszak362-366
-
Symfony and Laravel – a comparative analysis of PHP programming frameworks
Krzysztof Kuflewski, Mariusz Dzieńkowski367-372
-
A comparative analysis of cryptocurrency wallet management tools
Kamil Biernacki, Małgorzata Plechawska-Wójcik373-377
-
Analysis of data storage methods available in the Android SDK
Dominika Kornaś378-382
-
An analysis of the possibility of realization steganography in C#
Piotr Pawlak, Jakub Podgórniak, Grzegorz Kozieł383-390
Main Article Content
DOI
Authors
Abstract
The goal of this paper was to evaluate selected web services of universities in terms of user experience, with particular emphasis on usability and accessibility. The research was conducted using eye-tracking and questionnaire methods. Ten people participated in this study. The objects of the study were three university websites: the Catholic University of Lublin (KUL), the Cracow University of Technology (PK) and the West Pomeranian University of Technology (ZUT). The eye-tracking data were subjected to qualitative and quantitative analyses, while the data from questionnaires were subjected to quantitative analysis. The results of individual analyses are presented in the form of heat maps, scan paths, charts and tables.
Keywords:
References
M. Nilsson, UX method development from Usability testing with Eye tracking for E-commerce, http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-21842, [14.08.2021].
M. Miłosz, Ergonomia systemów informatycznych, Politechnika Lubelska, 2014.
M. Macleod, R. Bowden, N. Vevan, I. Curson, The MUSIC Performance Measurement Method, Behaviour and Information Technology 16 (1997) 279-293. DOI: https://doi.org/10.1080/014492997119842
J. H. Goldberg, A. M. Wichansky, Eye tracking in usability evaluation: A practitioner’s guide, [w] J. Hyönä, R. Radach, & H. Deubel (Ed.), The mind's eye: Cognitive and applied aspects of eye movement research, Amsterdam: Elsevier (2003) 493-516. DOI: https://doi.org/10.1016/B978-044451020-4/50027-X
A. Bojko, Eye tracking the user experience: A practical guide to research, Brooklyn, NY: Rosenfeld Media, 2013.
F. Onorati, R. Barbieri, M. Mauri, V. Russo, L. Mainardi, Characterization of affective states by pupillary dynamics and autonomic correlates, https://www.frontiersin.org/articles/10.3389/fneng.2013.00009/full, [14.08.2021].
J. A. Jacko, A. B. Barreto, J. Y. M., Chu, H. S. Bautsch, G. J. Marmet, I. U. Scott, R. H. Rosa, Low vision: The role of visual acuity in the efficiency of cursor movement, Proceedings of ACM Conference on Assistive Technologies (2000) 1-8. DOI: https://doi.org/10.1145/354324.354327
J. H. Goldberg, M. J. Stimson, M. Lewenstein, N. Scott, A. M. Wichansky, Eye Tracking in Web Search Tasks: Design Implications. Proceedings of Eye tracking research & applications (2002) 51-58. DOI: https://doi.org/10.1145/507072.507082
Gazepoint, https://www.gazept.com/product/gp3hd/, [14.08.2021].
iMotions, https://imotions.com/, [14.08.2021].
X. P. Kotval, J. H. Goldberg, Eye Movements and Interface Components Grouping: An Evaluation Method, Proceedings of the 42nd Annual Meeting of the Human Factors and Ergonomics Society (HFES) 42 (1998) 486-490. DOI: https://doi.org/10.1177/154193129804200509
A. Bojko, Using Eye Tracking to Compare Web Page Designs: A Case Study, Journal of Usability Studies 3(1) (2006) 112-120.
T. Tullis, B. Albert, Measuring the user experience: collecting, analyzing, and presenting usability metrics, Morgan Kaufmann Publishers, Elsevier, 2008
Article Details
Abstract views: 412
License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
