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Multicriteria Selection of Online Advertising Content for the Habituation Effect Reduction

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Intelligent Information and Database Systems (ACIIDS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11432))

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Abstract

While extant research has examined the various areas related to interactive marketing, techniques to overcome habituation effects without negative impact on users are still less explored. Usually effects such as vividness are used and they have an influence on consumer skepticism toward websites and brands, which negatively influences their attitudes. This research contributes to the field through exploration and identification of consumer responses to multimedia content focused on reduction of habituation effects through visual elements with high intensity used. The results were obtained from the natural responses of web users and subjective experiments in which a group of observers rated differently arranged banners. Proposed decision support model based on the COMET method helps to validate proposed scenarios towards compromise solutions.

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Acknowledgments

The work was supported by the National Science Centre of Poland, the decisions no. 2017/27/B/HS4/01216 (JJ), 2016/23/N/HS4/01931 (WS) and by the Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin statutory funds.

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Correspondence to Jarosław Jankowski .

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Lewandowska, A., Jankowski, J., Sałabun, W., Wątróbski, J. (2019). Multicriteria Selection of Online Advertising Content for the Habituation Effect Reduction. In: Nguyen, N., Gaol, F., Hong, TP., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2019. Lecture Notes in Computer Science(), vol 11432. Springer, Cham. https://doi.org/10.1007/978-3-030-14802-7_43

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  • DOI: https://doi.org/10.1007/978-3-030-14802-7_43

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  • Online ISBN: 978-3-030-14802-7

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