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Author:

Li, Mi (Li, Mi.) (Scholars:栗觅) | Lu, Wan-Xuan (Lu, Wan-Xuan.) | Lü, Sheng-Fu (Lü, Sheng-Fu.) | Song, Yang-Yang (Song, Yang-Yang.) | Yin, Jing-Jing (Yin, Jing-Jing.) | Zhong, Ning (Zhong, Ning.)

Indexed by:

EI Scopus PKU CSCD

Abstract:

Previous studies have demonstrated that visual search on Web pages is impacted by many factors, such as information form and Webpage layout. However, quantitative research about the impact of information overload for visual search on Web pages has not been reported yet. This study quantitatively investigates users' visual search behavior under information overload on Web pages using eye-tracking. Results suggest that 1) under information overload or not, users' visual search strategies are the same that is paying more attention to pictures and peripheral areas; 2) Information overload significantly increases the visual search time, which means the decrease of visual search efficiency; and 3) Under information overload, users are more likely to decrease parallel processing and increase serial processing to improve the visual search efficiency.

Keyword:

Efficiency Websites Data processing Eye tracking

Author Community:

  • [ 1 ] [Li, Mi]School of Computer and Communication Engineering, Liaoning Shihua University, Fushun 113001, Liaoning, China
  • [ 2 ] [Li, Mi]International WIC Institute, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Lu, Wan-Xuan]International WIC Institute, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Lü, Sheng-Fu]International WIC Institute, Beijing University of Technology, Beijing 100124, China
  • [ 5 ] [Song, Yang-Yang]International WIC Institute, Beijing University of Technology, Beijing 100124, China
  • [ 6 ] [Yin, Jing-Jing]International WIC Institute, Beijing University of Technology, Beijing 100124, China
  • [ 7 ] [Zhong, Ning]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: 2012

Issue: 3

Volume: 38

Page: 390-395

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: 7

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