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Author:

Li, Mi (Li, Mi.) (Scholars:栗觅) | Zhong, Ning (Zhong, Ning.) | Lü, Sheng-Fu (Lü, Sheng-Fu.)

Indexed by:

EI Scopus PKU CSCD

Abstract:

This study investigates the characteristics of visual search and browsing, and analyzes the differences of those strategies on Web pages using the eye tracking. When participants search on Web pages, the peripheral area is significantly higher than the central area on fixation duration and fixation count; when participants brows information on Web pages, there is no significant difference between the peripheral area and the central area on fixation duration and fixation count. Visual search is significantly larger than browsing on the average pupil diameter, which shows that the mental load on visual search is significantly greater than that on browsing. Results show that the visual search strategy pays more attention to the peripheral area than the central area; however, the visual browsing strategy freely run their eyes over the peripheral area and the central area in equality. The differences between the visual search and the browsing strategies are mainly due to the goal-driven and the mental load.

Keyword:

Eye tracking Websites

Author Community:

  • [ 1 ] [Li, Mi]International WIC Institute, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Li, Mi]The School of Computer and Communication Engineering, Liaoning ShiHua University, Fushun 113001, Liaoning, China
  • [ 3 ] [Zhong, Ning]International WIC Institute, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Zhong, Ning]Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi 371-0816, Japan
  • [ 5 ] [Lü, Sheng-Fu]International WIC Institute, Beijing University of Technology, Beijing 100124, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2011

Issue: 5

Volume: 37

Page: 773-779

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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