Effects of User Age on Smartphone and Tablet Use, Measured with an Eye-Tracker via Fixation Duration, Scan-Path Duration, and Saccades Proportion

Al-Showarah, Suleyman and Al-Jawad, Naseer and Sellahewa, Harin (2014) Effects of User Age on Smartphone and Tablet Use, Measured with an Eye-Tracker via Fixation Duration, Scan-Path Duration, and Saccades Proportion. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 8514 LNCS, 8514. pp. 3-14. ISSN 0302-9743

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Official URL: http://doi.org/10.1007/978-3-319-07440-5_1

Abstract

The design of user interfaces plays an important role in human computer interaction, especially for smartphones and tablet devices. It is very important to consider the interface design of smartphones for elderly people in order for them to benefit from the variety applications on such devices. The aim of this study is to investigate the effects of user age as well as screen size on smartphone/tablet use. We evaluated the usability of smartphone interfaces for three different age groups: elderly age group (60+ years), middle age group (40-59 years) and younger age group (20-39 years). The evaluation is performed using three different screen sizes of smartphone and tablet devices: 3.2", 7", and 10.1" respectively. An eye-tracker device was employed to obtain three metrics: fixation duration, scan-path duration, and saccades amplitude. Two hypothesis were considered. First, elderly users will have both local and global processing difficulties on smartphone/tablet use than other age groups. Second, all user age groups will be influenced by screen sizes; small screen size will have smaller saccades proportion indicating uneasy interface browsing compared to large screen size. All these results have been statistically evaluated using 2-way ANOVA.

Item Type: Article
Uncontrolled Keywords: Mobile communication systems; User interfaces (Computer systems); Mobile computing; Eye tracking; Human-computer interaction
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: School of Science > Applied Computing
Depositing User: Harin Sellahewa
Date Deposited: 28 Jul 2015 11:26
Last Modified: 07 Feb 2017 12:58
URI: http://bear.buckingham.ac.uk/id/eprint/34

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