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

2 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationActive Media Technology - 8th International Conference, AMT 2012, Proceedings
Pages572-583
Number of pages12
DOIs
Publication statusPublished - 2012
EventInternational Conference on Active Media Technology - Macau, China
Duration: 4 Dec 20127 Dec 2012
http://www.fst.umac.mo/wic2012/AMT/

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

Conference

ConferenceInternational Conference on Active Media Technology
CountryChina
CityMacau
Period04.12.201207.12.2012
Internet address

Keywords

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

Fingerprint Dive into the research topics of 'Revealing Cultural Influences in Human Computer Interaction by Analyzing Big Data in Interactions'. Together they form a unique fingerprint.

Cite this