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The Fine Line Between Persuasion and Digital Addiction

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Persuasive Technology (PERSUASIVE 2021)

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Abstract

Digital addiction is becoming a prevalent societal concern and persuasive design techniques used in digital platforms might be accountable also for the development and maintenance of such problematic behavior. This paper theoretically analyses the relationship between persuasive system design principles and digital addiction in light of theories on behavioral and substance-based addictions. The findings suggest that some of the persuasive design principles, in specific contexts, may trigger and expedite digital addiction. The purpose of this paper is to open a discussion around the potential effects of persuasive technology on digital addiction and cater to this risk in the design processes and the persuasive design itself.

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Acknowledgments

This work has been partly supported by Kindred Group – Division of Responsible Gaming and Research, through a match-funded PhD project titled “Responsibility by Design: the Case of Online Gambling”.

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Authors and Affiliations

  1. Faculty of Science and Technology, Bournemouth University, Poole, UK

    Deniz Cemiloglu & Mohammad Naiseh

  2. Kindred Group, Sliema, Malta

    Maris Catania

  3. Oulu Advanced Research on Service and Information Systems, University of Oulu, Oulu, Finland

    Harri Oinas-Kukkonen

  4. College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar

    Raian Ali

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  1. Deniz Cemiloglu
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  2. Mohammad Naiseh
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  3. Maris Catania
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  4. Harri Oinas-Kukkonen
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  5. Raian Ali
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Correspondence to Deniz Cemiloglu .

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  1. Hamad bin Khalifa University, Education City, Doha, Qatar

    Raian Ali

  2. University of Würzburg, Würzburg, Germany

    Birgit Lugrin

  3. Bournemouth University, Poole, UK

    Fred Charles

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Cemiloglu, D., Naiseh, M., Catania, M., Oinas-Kukkonen, H., Ali, R. (2021). The Fine Line Between Persuasion and Digital Addiction. In: Ali, R., Lugrin, B., Charles, F. (eds) Persuasive Technology. PERSUASIVE 2021. Lecture Notes in Computer Science(), vol 12684. Springer, Cham. https://doi.org/10.1007/978-3-030-79460-6_23

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