Evidence Type Influence on the Selection of Online Health Information Titles: Eye-Tracking Experiment and Implications

  • Jiang Tingting ,
  • Guo Qian ,
  • Xu Yaping ,
  • Song Enmei
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  • 1 School of Information Management, Wuhan University, Wuhan 430072;
    2 Center for Studies of Information Resources, Wuhan University, Wuhan 430072;
    3 Library, Shanghai International Studies University, Shanghai 200083

Received date: 2020-03-11

  Revised date: 2020-06-11

  Online published: 2020-10-05

Abstract

[Purpose/significance] A huge amount of health information are competing for users' attention on the Internet, thus in urgent need of attractive headlines. More and more online health information titles are adopting anecdotal or numerical evidence to increase their attractiveness. [Method/process] This paper explored the relationship among the type of evidence in online health information titles, users' emotional and cognitive responses, and their attention to and selection of health titles, based on an experiment. Each participant was asked to complete a task of browsing 40 health information items (including both titles and articles) within a time limit. Users' emotional and cognitive responses to the titles were collected with related scales, and their attention and selection were captured with a Tobbi eye-tracker and its built-in screen recorder. [Result/conclusion] Numerical titles would arouse higher levels of pleasure and arousal as well as more likely to inspire clicking behavior. The level of arousal had mediating effects on the relationship between title evidence type and clicking behavior. Thinking style had moderating effects on the relationship between title evidence type and fixation duration and that between title evidence type and fixation count. The findings help our understanding of how the internal characteristics of information affects its selection, and provide useful implications for creating effective online headlines in the health domain.

Cite this article

Jiang Tingting , Guo Qian , Xu Yaping , Song Enmei . Evidence Type Influence on the Selection of Online Health Information Titles: Eye-Tracking Experiment and Implications[J]. Library and Information Service, 2020 , 64(19) : 61 -70 . DOI: 10.13266/j.issn.0252-3116.2020.19.007

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