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Revealing Cultural Influences in Human Computer Interaction by Analyzing Big Data in Interactions

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Active Media Technology (AMT 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7669))

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Abstract

Understanding human information needs worldwide requires the analysis of much data and adequate statistical analysis methods. Big interaction data from empirical studies regarding cultural human computer interaction (HCI) was analyzed using statistical methods to develop a model of culturally influenced HCI. There are significant differences in HCI style depending on the cultural imprint of the user. Having knowledge about the relationship between culture and HCI using this model, the local human information needs can be predicted for a worldwide scope.

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© 2012 Springer-Verlag Berlin Heidelberg

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Heimgärtner, R., Kindermann, H. (2012). Revealing Cultural Influences in Human Computer Interaction by Analyzing Big Data in Interactions. In: Huang, R., Ghorbani, A.A., Pasi, G., Yamaguchi, T., Yen, N.Y., Jin, B. (eds) Active Media Technology. AMT 2012. Lecture Notes in Computer Science, vol 7669. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35236-2_58

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  • DOI: https://doi.org/10.1007/978-3-642-35236-2_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35235-5

  • Online ISBN: 978-3-642-35236-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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