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Pervasive Advertising pp 309–323Cite as

Ambient Persuasion in the Shopping Context

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Part of the book series: Human-Computer Interaction Series ((HCIS))

Abstract

In this chapter, we give an overview on the use of pervasive computing to persuade customers in the shopping context and therefore present novel approaches towards Pervasive Persuasive Advertising. We synthesize the results of three studies, each of which lasted several days and was conducted with situated prototypes in actual shopping environments. The aim of these prototypes was to influence the customers’ shopping behavior by means of persuasive strategies and to ultimately improve the overall shopping experience. Based on these studies, we give a characterization of the shopping context and propose a contextually adequate persuasive strategy based on striking the balance between engagement and unobtrusiveness.

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Authors and Affiliations

  1. University of Salzburg, Salzburg, Austria

    Wolfgang Reitberger, Alexander Meschtscherjakov, Thomas Mirlacher & Manfred Tscheligi

Authors
  1. Wolfgang Reitberger
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  2. Alexander Meschtscherjakov
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  3. Thomas Mirlacher
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  4. Manfred Tscheligi
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Corresponding author

Correspondence to Wolfgang Reitberger .

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Editors and Affiliations

  1. , Laboratories, Deutsche Telekom AG, Ernst-Reuter-Platz 7,, Berlin, 10587, Germany

    Jörg Müller

  2. University of Stuttgart, Pfaffenwaldring, Stuttgart, 70569, Germany

    Florian Alt

  3. Anhalt University of Applied Science, Strenzfelder Allee 28,, Bernburg, 06406, Germany

    Daniel Michelis

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Reitberger, W., Meschtscherjakov, A., Mirlacher, T., Tscheligi, M. (2011). Ambient Persuasion in the Shopping Context. In: Müller, J., Alt, F., Michelis, D. (eds) Pervasive Advertising. Human-Computer Interaction Series. Springer, London. https://doi.org/10.1007/978-0-85729-352-7_15

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  • DOI: https://doi.org/10.1007/978-0-85729-352-7_15

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  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-351-0

  • Online ISBN: 978-0-85729-352-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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