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Does Animation Attract Online Users’ Attention? The Effects of Flash on Information Search Performance and Perceptions

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  • Weiyin Hong

    (Department of Management Information Systems, University of Nevada-Las Vegas, 4505 Maryland Parkway, Las Vegas, Nevada 89154)

  • James Y. L. Thong

    (Department of Information and Systems Management, School of Business and Management, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong)

  • Kar Yan Tam

    (Department of Information and Systems Management, School of Business and Management, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong)

Abstract

The proliferation of information on the Internet poses a significant challenge on humans’ limited attentional resources. To attract online users’ attention, various kinds of animation are widely used on websites. Despite the ubiquitous use of animation, there is an inadequate understanding of its effect on attention. Focusing on flash animation, this study examines its effects on online users’ performance and perceptions in both task-relevant and task-irrelevant information search contexts by drawing on the visual search literature and two theories from cognitive psychology. In the task-relevant context, flash is applied on the search target; while in the task-irrelevant context, flash is applied on a nontarget item. The results of this study confirm that flash does attract users’ attention and facilitates quicker location of the flashed target item in tightly packed screen displays. However, there is no evidence that attracting attention increases recall of the flashed item, as is generally presumed in practice, and may even decrease the overall recall. One explanation is that when users have to use their limited attentional resources on suppressing the distraction of flash, they will have less mental resources to process information. Moreover, the results suggest that processing information about an item depends not only on the attention it attracts per se, but also on the attention that other items on the same screen attract. While flashing an item may not increase the recall of that item, it can reduce the recall of other items (especially the nontarget items) on the screen. Finally, flash has negative effects on users’ focused attention and attitude towards using the website. These results have implications for website interface design, online product promotion, online advertising, and multimedia training systems, among others.

Suggested Citation

  • Weiyin Hong & James Y. L. Thong & Kar Yan Tam, 2004. "Does Animation Attract Online Users’ Attention? The Effects of Flash on Information Search Performance and Perceptions," Information Systems Research, INFORMS, vol. 15(1), pages 60-86, March.
  • Handle: RePEc:inm:orisre:v:15:y:2004:i:1:p:60-86
    DOI: 10.1287/isre.1040.0017
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    References listed on IDEAS

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    1. Izak Benbasat & Albert S. Dexter, 1985. "An Experimental Evaluation of Graphical and Color-Enhanced Information Presentation," Management Science, INFORMS, vol. 31(11), pages 1348-1364, November.
    2. Brucks, Merrie, 1985. "The Effects of Product Class Knowledge on Information Search Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(1), pages 1-16, June.
    3. Thomas P. Novak & Donna L. Hoffman & Yiu-Fai Yung, 2000. "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, INFORMS, vol. 19(1), pages 22-42, May.
    4. Andrew Large & Jamshid Beheshti & Alain Breuleux & André Renaud, 1994. "Multimedia and comprehension: A cognitive study," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 45(7), pages 515-528, August.
    5. Sirkka L. Jarvenpaa, 1989. "The Effect of Task Demands and Graphical Format on Information Processing Strategies," Management Science, INFORMS, vol. 35(3), pages 285-303, March.
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