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Verification of Persuasion Effect to Cope with Virus Infection Based on Collective Protection Motivation Theory

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Advances in Network-Based Information Systems (NBiS 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 22))

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Abstract

It has been reported that many Internet users do not recover personal computers (PCs) that have been infected by computer viruses. To address this problem, we have investigated how to motivate users to remove viruses from their PCs based on the Protection Motivation Theory. Previously, we have reported that the cognitive factors related to response efficacy, responsibility, percentage of performers, and group norm could affect the intention to recover an infected PC. In this study, we created the experimental content to stimulate these cognitive factors and conducted an experiment to verify whether the content would be effective to persuade Internet users to recover infected PCs. Our research confirmed that the content stimulated some cognitive factors and effectively persuaded users to recover their PCs. We also found that some users did not intend to cope with the virus infection because they did not consider the information about the virus infection to be credible.

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Acknowledgements

We would like to thank Assistant Professor Daisuke Takagi of Tokyo University and Doctor Stavrakakis of Sydney University for their valuable advice and comments. In addition, we thank the members of our project team, Tasuku Komagome, Momomi Takahashi, and Akane Harada of Nihon University. We also thank Yusuke Kanehira and Kota Fujisaki (Nihon University) for their assistance in creating the experimental content.

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Correspondence to Kana Shimbo .

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Shimbo, K., Kurino, Si., Yoshikai, N. (2019). Verification of Persuasion Effect to Cope with Virus Infection Based on Collective Protection Motivation Theory. In: Barolli, L., Kryvinska, N., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-98530-5_67

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