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International Conference on Persuasive Technology

PERSUASIVE 2015: Persuasive Technology pp 27–38Cite as

Formalizing Customization in Persuasive Technologies

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9072))

Abstract

Many authors have noted that customization increases the effectiveness of persuasive technologies. Also, many empirical demonstrations of successful customization efforts exist in the persuasive technology literature. However, a clear formal framework to describe and evaluate customization is lacking. This leads to the worrisome conclusion that statements like: “customization is beneficial” are often ill-defined given the empirical demonstration at hand. In this paper we forward a formalization of customization to prevent such problems. We derive a number of assumptions regarding the data-generating model that need to be met for customization to be fruitful, and we provide several examples of customization criteria. This paper serves as a discussion piece for the persuasive technology conference to evaluate the use and value of (mathematical) formalizations of customization.

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Author information

Authors and Affiliations

  1. Assistant Professor, Artificial Intelligence, Radboud University, Nijmegen, Nijmegen, The Netherlands

    M. C. Kaptein

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  1. M. C. Kaptein
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Correspondence to M. C. Kaptein .

Editor information

Editors and Affiliations

  1. IIT Institute of Design, Chicago, USA

    Thomas MacTavish

  2. IIT Institute of Design, Chicago, USA

    Santosh Basapur

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© 2015 Springer International Publishing Switzerland

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Kaptein, M.C. (2015). Formalizing Customization in Persuasive Technologies. In: MacTavish, T., Basapur, S. (eds) Persuasive Technology. PERSUASIVE 2015. Lecture Notes in Computer Science(), vol 9072. Springer, Cham. https://doi.org/10.1007/978-3-319-20306-5_3

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  • DOI: https://doi.org/10.1007/978-3-319-20306-5_3

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20305-8

  • Online ISBN: 978-3-319-20306-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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