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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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Author information

Authors and Affiliations

  1. Intercultural User Interface Consulting (IUIC), Undorf, Germany

    Rüdiger Heimgärtner

  2. Upper Austria University of Applied Sciences, Steyr, Austria

    Harald Kindermann

Authors
  1. Rüdiger Heimgärtner
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  2. Harald Kindermann
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Editor information

Editors and Affiliations

  1. Faculty of Computer and Information Sciences, Hosei University, 3-7-2, Kajino-cho, 184-8584, Koganei-shi, Tokyo, Japan

    Runhe Huang

  2. Faculty of Computer Science, University of New Brunswick, Box 440, E3B 5A3, Fredicton, NB, Canada

    Ali A. Ghorbani

  3. Department of Informatics, Systems and Communication, University of Milano Bicocca, Viale Sarca 336, 20126, Milano, Italy

    Gabriella Pasi

  4. Department of Administration Engineering, Keio University, 3-14-1 Hiyoshi, 223-8522, Kohoku-ku, Yokohama, Japan

    Takahira Yamaguchi

  5. University of Aizu, 102-C, Research Quadrangles, Tsuruga, Ikki-machi, 965-8580, Aizu-Wakamatsu City, Fukushima, Japan

    Neil Y. Yen

  6. Institute of Software, Chinese Academy of Sciences, no.4 Nan Sie Jie, Zhong Guan Cun, Hai Dian Qu, 100190, Beijing, China

    Beijing Jin

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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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