کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
401194 1439003 2012 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The role of visual complexity and prototypicality regarding first impression of websites: Working towards understanding aesthetic judgments
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
The role of visual complexity and prototypicality regarding first impression of websites: Working towards understanding aesthetic judgments
چکیده انگلیسی

This paper experimentally investigates the role of visual complexity (VC) and prototypicality (PT) as design factors of websites, shaping users' first impressions by means of two studies. In the first study, 119 screenshots of real websites varying in VC (low vs. medium vs. high) and PT (low vs. high) were rated on perceived aesthetics. Screenshot presentation time was varied as a between-subject factor (50 ms vs. 500 ms vs. 1000 ms). Results reveal that VC and PT affect participants' aesthetics ratings within the first 50 ms of exposure. In the second study presentation times were shortened to 17, 33 and 50 ms. Results suggest that VC and PT affect aesthetic perception even within 17 ms, though the effect of PT is less pronounced than the one of VC. With increasing presentation time the effect of PT becomes as influential as the VC effect. This supports the reasoning of the information-processing stage model of aesthetic processing (Leder et al., 2004), where VC is processed at an earlier stage than PT. Overall, websites with low VC and high PT were perceived as highly appealing.


► Visual complexity (VC) and prototypicality (PT) of websites affect users' first impression.
► Both factors influence aesthetic judgments after a very short presentation time of only 17 ms.
► At 17 ms the effect of PT is less pronounced than the one of VC.
► With increasing presentation time the effect of PT becomes as influential as the VC effect.
► Websites of low VC and high PT are preferred over pages of high VC and low PT.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Human-Computer Studies - Volume 70, Issue 11, November 2012, Pages 794–811
نویسندگان
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