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 language | English |
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Title of host publication | Active Media Technology - 8th International Conference, AMT 2012, Proceedings |
Pages | 572-583 |
Number of pages | 12 |
DOIs | |
Publication status | Published - 2012 |
Event | International Conference on Active Media Technology - Macau, China Duration: 4 Dec 2012 → 7 Dec 2012 http://www.fst.umac.mo/wic2012/AMT/ |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 7669 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | International Conference on Active Media Technology |
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Country/Territory | China |
City | Macau |
Period | 04.12.2012 → 07.12.2012 |
Internet address |
Keywords
- Culture
- Relation
- Data Analysis
- Global
- Local
- Intercultural Interaction Analysis
- Tools
- Big Data
- Modeling
- Data Mining
- Statistics
- ANOVA.
- ANOVA