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When Persuasive Technology Gets Dark?

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Information Systems (EMCIS 2020)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 402))

Abstract

Influencing systems and persuasive technology (PT) should give their users a positive experience. While that sounds attractive and many rush implementing novel ideas things such as gamification, a serious professional and scientifically rich discussion is needed to portray a holistic picture on technology influence. Relatively little research has been aimed at exploring the negative aspects, outcomes, and side effects of PT. Therefore this research aims at addressing this gap by reviewing the existing knowledge on dark patterns, demonstrating how intended Pt designs can be critically examined, introducing the Visibility-Darkness matrix to categorize and locate dark patterns, and proposing a Framework for Evaluating the Darkness of Persuasive Technology (FEDPT). The framework is instrumental for designers and developers of influential technology, as it clarifies an area where their products and services can have a negative impact on well-being, in other words, can become harmful to the users.

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Author information

Authors and Affiliations

  1. Uppsala University, Uppsala, Sweden

    Tobias Nyström

  2. Métis Lab, EM Normandie Business School, Paris, France

    Agnis Stibe

  3. INTERACT Research Unit, University of Oulu, Oulu, Finland

    Agnis Stibe

Authors
  1. Tobias Nyström
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  2. Agnis Stibe
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Correspondence to Tobias Nyström .

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Editors and Affiliations

  1. Department of Digital Innovation, School of Business, University of Nicosia, Nicosia, Cyprus

    Marinos Themistocleous

  2. British University in Dubai, Dubai, United Arab Emirates

    Maria Papadaki

  3. School of Strategy and Leadership, Coventry University, Coventry, UK

    Muhammad Mustafa Kamal

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Nyström, T., Stibe, A. (2020). When Persuasive Technology Gets Dark?. In: Themistocleous, M., Papadaki, M., Kamal, M.M. (eds) Information Systems. EMCIS 2020. Lecture Notes in Business Information Processing, vol 402. Springer, Cham. https://doi.org/10.1007/978-3-030-63396-7_22

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  • DOI: https://doi.org/10.1007/978-3-030-63396-7_22

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