Author:
Rüdiger Heimgärtner
Affiliation:
Intercultural User Interface Consulting (IUIC), Germany
Keyword(s):
Culture, Relation, Structure Equation Model, Neural Networks, Factor Analysis, Data Analysis, Global, Local, Intercultural Interaction Analysis, Tools, Big Data, Modeling, Data Mining, Statistics.
Abstract:
Understanding human information needs worldwide requires the analysis of much data and adequate statistical analysis methods. Factor Analysis and Structural Equation Models (SEM) are a means to reveal structures in data. Data from empirical studies found in literature regarding cultural human computer interaction (HCI) was analyzed using these 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.