Computation of interface aesthetics

Miniukovich, Aliaksei and De angeli, Antonella (2015) Computation of interface aesthetics. In: 33rd Annual ACM Conference on Human Factors in Computing Systems, 18-23 April 2015, Seoul, Republic of Korea.

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

Abstract

People prefer attractive interfaces. Designers strive to outmatch competitors, and create apps and websites that stand out. However, significant expenses on design are unaffordable to small companies; instead, they could adopt automatic tools of interface aesthetics evaluation, a cheaper strategy to good design. This paper describes an important step towards such a tool; it presents eight automatic metrics of graphical user interface (GUI) aesthetics. We tested the metrics in two exploratory studies - On desktop webpages (N = 62) and on iPhone apps (N = 53) - And found them to function on both GUI types and for both immediate (150ms exposure) and deliberate (4s exposure) aesthetics impressions. Our best-fit regression models explained up to 49 of variance in webpage aesthetics and up to 32 (if app genre is considered) of variance in iPhone app aesthetics. These results confirm past results and suggest the metrics are valid and reliable enough to be widely discussed, and possibly, to be embedded in our prospective GUI evaluation tool, tLight.

Keywords:Graphical user interfaces, Human computer interaction, Human engineering, Regression analysis, Smartphones, Websites, Automatic metrics, Deliberate impression, Immediate impression, Tlight, User study, User interfaces
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
ID Code:25468
Deposited On:14 Aug 2017 09:59

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