SPECIAL TOPIC: Research on Online Health Information Behavior of Users

Research on the Influence of Information Representation on Privacy Policy of M-Health APP:Based on Cognitive Load Theory

  • Zhang Yue ,
  • Wang Jian ,
  • Yu Shu ,
  • Zhu Qinghua
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  • School of Information Management, Nanjing University, Nanjing 210023

Received date: 2020-12-17

  Revised date: 2021-03-24

  Online published: 2021-06-10

Abstract

[Purpose/significance] Privacy protection in mobile health environment is an important issue that needs to be solved urgently. Research on the reading effect of privacy policies of mobile health apps can stimulate users’ willingness to read the privacy policies and improve users’ awareness of privacy protection, which is conducive to the long-term development and application of the mobile health apps. [Method/process]z This paper attempts to measure the subjective cognitive load and objective performance of different types of users when reading different forms of privacy policies from the perspective of user-friendly reading and understanding, based on the cognitive load theory, through virtual experiments and multi factor analysis of variance, and to study the influence of information representation on the reading effect of privacy policies of mobile medical app. [Result/conclusion] The results showed that compared with the textual privacy policy, the graphical privacy policy is more readable and comprehensible, which can effectively reduce the cognitive load of visual users, and can significantly improve users’ reading achievement.

Cite this article

Zhang Yue , Wang Jian , Yu Shu , Zhu Qinghua . Research on the Influence of Information Representation on Privacy Policy of M-Health APP:Based on Cognitive Load Theory[J]. Library and Information Service, 2021 , 65(11) : 3 -13 . DOI: 10.13266/j.issn.0252-3116.2021.11.001

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