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1796-2021 (Online); 2374-4367 (Print)
Prof. Maode Ma
Prof. Jalel Ben-Othman, Prof. Nobuo Funabiki
Prof. Jason Z. Kang
or comments to
Assoc. Prof. Maode Ma
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore
I'm very happy and honored to take on the position of editor-in-chief of JCM, which is a high-quality journal with potential and I'll try my every effort to bring JCM to a next level...
Welcome Prof. Abdelhalim Zekry from Egypt to join the Editorial board of JCM.
Volume 15, No. 6 have both been indexed by Scopus.
Volume 15, No. 7 has been published online!
Volume 12, No. 8, August 2017
Detection of Errors in the Layout Design of Websites for Mobile Devices Based on Capturing User Behaviour
Lukáš Čegan and Petr Filip
University of Pardubice, Pardubice 530 02, Czech Republic
—Smart mobile touch devices with a small screen such as mobile phones or tablets have become part of everyday life. These devices are taking over conventional personal computers and are increasingly used for accessing web-content. For website developers it is a new challenge which brings issues in the development strategy, because PCs are used differently than mobile touch devices. Adapting web design for every device has become a necessity and a responsive web-design has become standard for every newly developed website. Even if the website development is driven by best practices and developer`s experiences, issues that decrease user experience (UX) on the specific device still exist. This paper presents architecture for capturing user behaviour, followed by a statistical evaluation process which helps to detect errors in the layout design of websites. Information on website use is gathered from real users. Evaluated data is used as feedback for UX-designers who can improve web-design for specific devices and increase user experience.
—User experience, analytical tool, Web user Behaviour, HTML5
Cite: Lukáš Čegan and Petr Filip, "Detection of Errors in the Layout Design of Websites for Mobile Devices Based on Capturing User Behaviour," Journal of Communications, vol. 12, no. 8, pp. 457-463, 2017. Doi: 10.12720/jcm.12.8.457-463.
A Study on the Performance Renewal Bartlett Method Based on Correlation Optimal Weight
Leveraging Software-Defined Wireless Network (SDWN) by Locator/Identifier Split Scheme for Mobility Management
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