Understanding Worldwide Human Information Needs - Revealing Cultural Influences in HCI by Analyzing Big Data in Interactions

Rüdiger Heimgärtner

2012

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.

Paper Citation

in Harvard Style

Heimgärtner R. (2012). Understanding Worldwide Human Information Needs - Revealing Cultural Influences in HCI by Analyzing Big Data in Interactions . In Proceedings of the International Conference on Data Technologies and Applications - Volume 1: DATA, ISBN 978-989-8565-18-1, pages 165-169. DOI: 10.5220/0004166401650169

in Bibtex Style

@conference{data12,
author={Rüdiger Heimgärtner},
title={Understanding Worldwide Human Information Needs - Revealing Cultural Influences in HCI by Analyzing Big Data in Interactions},
booktitle={Proceedings of the International Conference on Data Technologies and Applications - Volume 1: DATA,},
year={2012},
pages={165-169},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004166401650169},
isbn={978-989-8565-18-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Data Technologies and Applications - Volume 1: DATA,
TI - Understanding Worldwide Human Information Needs - Revealing Cultural Influences in HCI by Analyzing Big Data in Interactions
SN - 978-989-8565-18-1
AU - Heimgärtner R.
PY - 2012
SP - 165
EP - 169
DO - 10.5220/0004166401650169