McDougall, S., Reppa, I., Kulik, J. and Taylor, A., 2016. What makes icons appealing? The role of processing fluency in predicting icon appeal in different task contexts. Applied Ergonomics, 55, 156 - 172.
Full text available as:
|
PDF
MCDougall. what makes icons appealing.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives. 686kB | |
Copyright to original material in this document is with the original owner(s). Access to this content through BURO is granted on condition that you use it only for research, scholarly or other non-commercial purposes. If you wish to use it for any other purposes, you must contact BU via BURO@bournemouth.ac.uk. Any third party copyright material in this document remains the property of its respective owner(s). BU grants no licence for further use of that third party material. |
DOI: 10.1016/j.apergo.2016.02.006
Abstract
Although icons appear on almost all interfaces, there is a paucity of research examining the determinants of icon appeal. The experiments reported here examined the icon characteristics determining appeal and the extent to which processing fluency - the subjective ease with which individuals process information - was used as a heuristic to guide appeal evaluations. Participants searched for, and identified, icons in displays. The initial appeal of icons was held constant while ease of processing was manipulated by systematically varying the complexity and familiarity of the icons presented and the type of task participants were asked to carry out. Processing fluency reliably influenced users' appeal ratings and appeared to be based on users' unconscious awareness of the ease with which they carried out experimental tasks.
Item Type: | Article |
---|---|
ISSN: | 0003-6870 |
Uncontrolled Keywords: | Aesthetics ; Appeal ; Icons ; Processing fluency ; User experience |
Group: | Faculty of Science & Technology |
ID Code: | 23310 |
Deposited By: | Symplectic RT2 |
Deposited On: | 21 Mar 2016 16:31 |
Last Modified: | 14 Mar 2022 13:55 |
Downloads
Downloads per month over past year
Repository Staff Only - |