Paper Info
Title
A study on the relationships between different presentation modes of graphical icons and users' attention.
Abstract
With the vigorous development of applications (App), graphical user interfaces (GUI) have been widely found in computers and handheld devices. This study aimed to explore the relationships between different presentation modes of graphical icons and users’ attention. An eye tracker was employed to measure each participant’s experimental data; in addition, subjective evaluation of attention was conducted. Thus, the optimum presentation mode attracting the most attention might be determined. The experiment was designed to investigate two variables: icon composition and background. Through permutation and combination, six presentation modes were obtained as follows: line + positive background (M1), plane + positive background (M2), line + negative background (M3), plane + negative background (M4), line + no background (M5), and plane + no background (M6). Thirty-six participants were requested to view thirty stimuli, or the contour drawings of graphical icons, presented simultaneously in six modes mentioned above. The participants’ fixation duration, fixation frequency, and subjective evaluation of attention were analyzed through two-way ANOVA. The analytical results showed that in terms of the three performance indicators above, M4 performed the best among the six presentation modes. Moreover, regarding icon composition, planes performed better than lines in terms of the three performance indicators. As for background, negative background performed the best in terms of the three performance indicators, positive background ranked second, and no background performed the worst. The findings can serve as a reference when icons are researched or designed in the future.
Year
DOI
Venue
2016
10.1016/j.chb.2016.05.008
Computers in Human Behavior
Keywords
Field
DocType
Icon composition,Background,Polarity,Icon border,Fixation,Eye-tracking
Social psychology,Performance indicator,Ranking,Experimental data,Computer science,Icon,Permutation,Eye tracking,Graphical user interface,Mobile device
Journal
Volume
Issue
ISSN
63
C
0747-5632
Citations 
PageRank 
References 
1
0.37
13
Authors
3
Name
Order
Citations
PageRank
Hsuan Lin1305.51
Yu-Chen Hsieh221.74
Fong-Gong Wu321.79