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Research Article · Open access · Published 24 August 2018

Experimental Study: The Effects of Mobile Phone Icons Characteristics on Users’ Age Groups

Syed Ghayas1, Salim Amor Al-Hajri2 & Suziah Sulaiman1

Journal of Computer Science, Volume 14, Issue 8, pp. 1134–1143 · doi.org/10.3844/jcssp.2018.1134.1143

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Abstract

Mobile phone applications interfaces offer great support to various age group users. There is a lot of Mobile Human Computer Interaction (here after HCI) research work going on, which is found in User Experience – UX issues. Until now little research work is done on Mobile phone icons and its effect on learn ability for various age group users. The aim of this study is to investigate the effects of mobile phone icons characteristics on users’ age groups. In current research work we carry out an exploratory study followed by an in-depth experimental based study in order to find out which icons characteristics effect icon usability for various age group users. From experimental results, it is revealed that elderly have more issues while interpreting mobile phone icons, but specifically icon characteristics-semantic distance, familiarity and complexity- are having potential in order to improve icon user experience. We further discuss how design guidelines can support application designers to design application icons that can be adopted by various age group users and be beneficial for them.

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Open access. This article is licensed under a Creative Commons Attribution 3.0 Licence (CC BY 3.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.

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Ghayas, S., Al-Hajri, S. A. & Sulaiman, S. (2018). Experimental Study: The Effects of Mobile Phone Icons Characteristics on Users’ Age Groups. Journal of Computer Science, 14(8), 1134–1143. https://doi.org/10.3844/jcssp.2018.1134.1143

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Experimental Study: The Effects of Mobile Phone Icons Characteristics on Users’ Age GroupsJournal of Computer Science · Volume 14, Issue 8 · pp. 1134–1143 · CC BY 3.0Download