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Investigating User Perceptions of Persuasive Design Elements that Influence Perceived Credibility

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Persuasive Technology (PERSUASIVE 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12684))

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Abstract

Given the prevalent use of technology for human activities, the determinants of user perceptions of the credibility of technological systems must be understood. This study investigated how user perceptions of persuasive elements that are incorporated in Academic Social Networking Sites (ASNSs) influence the Perceived Credibility of these sites. Specifically, the effects of Personalization, Reduction, Tailoring, Self-Monitoring, Rehearsal, Simulation and Tunneling on Perceived Credibility are examined. An online survey was adopted to examine the research model. Partial Least Square techniques were used to assess the significance of the determinants on Perceived Credibility. Results indicate that Tailoring positively influences Perceived Credibility whereas Personalization has a negative significant effect. Implications for theoretical insights into Perceived Credibility and its determinants and design implication are discussed.

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Author information

Authors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Felix N. Koranteng & Jaap Ham

  2. Department of Computer Science, University of Ghana, Legon-Accra, Ghana

    Isaac Wiafe

Authors
  1. Felix N. Koranteng
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  2. Jaap Ham
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  3. Isaac Wiafe
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Editor information

Editors and Affiliations

  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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Koranteng, F.N., Ham, J., Wiafe, I. (2021). Investigating User Perceptions of Persuasive Design Elements that Influence Perceived Credibility. 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_13

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  • DOI: https://doi.org/10.1007/978-3-030-79460-6_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-79459-0

  • Online ISBN: 978-3-030-79460-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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