Revealing cultural influences in human computer interaction by analyzing big data in interactions

Authors:
Rüdiger Heimgärtner;Harald Kindermann
Affiliations:
Intercultural User Interface Consulting (IUIC), Undorf, Germany;Upper Austria University of Applied Sciences, Steyr, Austria
Venue:
AMT'12 Proceedings of the 8th international conference on Active Media Technology
Year:
2012

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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.