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Using Persuasive Design Principles in Motivational Feeling towards Children Dental Anxiety (CDA)

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Persuasive Technology (PERSUASIVE 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6137))

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Abstract

This paper is focusing the potential use of persuasive design principles in motivating children’s dental anxiety. The main intention of the paper is to emphasize an attempt of how persuasive design principle can be designed into educational material using CD ROM based multimedia learning environment to overcome the CDA. Firstly, we describe a problem domain which discuss about the universal feeling of CDA and secondly the current practices in handling those negative feelings. Thirdly, the conceptual background of PMLE and how the principle has been applied in designing the information interfaces and presentation of a persuasive multimedia learning environment (PMLE) are described. Fourthly, an experimental design was used to validate the effects of prototype which assessed children dental anxiety level before and after the demonstration and utilization of a PMLE. Primary school children age between seven and nine years old are selected as respondents. Fifthly, the result of the study has revealed the feedback from children regarding baseline test and children dental anxiety test. It shows how by using persuasive design principles as an overall strategy in designing PMLE was able to motivate children feelings towards dental anxiety and could let the children behave in a good manner for dental visit in the future.

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Salam, S.NA., Yahaya, W.A.JW., Ali, AM. (2010). Using Persuasive Design Principles in Motivational Feeling towards Children Dental Anxiety (CDA). In: Ploug, T., Hasle, P., Oinas-Kukkonen, H. (eds) Persuasive Technology. PERSUASIVE 2010. Lecture Notes in Computer Science, vol 6137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13226-1_23

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  • DOI: https://doi.org/10.1007/978-3-642-13226-1_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13225-4

  • Online ISBN: 978-3-642-13226-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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