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

Rüdiger Heimgärtner, Harald Kindermann

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

3 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationActive Media Technology - 8th International Conference, AMT 2012, Proceedings
Number of pages12
Publication statusPublished - 2012
EventInternational Conference on Active Media Technology - Macau, China
Duration: 4 Dec 20127 Dec 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7669 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Active Media Technology
Internet address


  • Culture
  • Relation
  • Data Analysis
  • Global
  • Local
  • Intercultural Interaction Analysis
  • Tools
  • Big Data
  • Modeling
  • Data Mining
  • Statistics
  • ANOVA.


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