Predicting user interface preferences of culturally ambiguous users

To date, localized user interfaces are still being adapted to one nation, not taking into account cultural ambiguities of people within this nation. We have developed an approach to cultural user modeling, which allows to personalize user interfaces to an individual's cultural background. The study presented in this paper shows how we use this approach to predict user interface preferences. Results show that we are able to reduce the absolute error on this prediction to 1.079 on a rating scale of 5. These findings suggest that it is possible to automate the process of localization and, thus, to automatically personalizing user interfaces for users of different cultural backgrounds.

[1]  Albert N. Badre,et al.  The Effects of Cross Cultural Interface Design Orientation on World Wide Web User Performance , 2001 .

[2]  Alvin Yeo,et al.  Cultural user interfaces: a silver lining in cultural diversity , 1996, SGCH.

[3]  Jean Scholtz,et al.  The Effects of Cultural Markers on Web Site Use , 1999 .

[4]  E. W. Gould,et al.  Applying culture to Web site design: a comparison of Malaysian and US Web sites , 2000, 18th Annual Conference on Computer Documentation. ipcc sigdoc 2000. Technology and Teamwork. Proceedings. IEEE Professional Communication Society International Professional Communication Conference an.

[5]  Aaron Marcus,et al.  Cross-Cultural User-Interface Design , 2001 .

[6]  Norhayati Zakaria,et al.  Applying culture to website design: a comparison of Malaysian and US websites , 2000, SIGDOC.

[7]  A. Kobsa.  User Modeling : Recent Work , Prospects and Hazards , 1993 .

[8]  A. Bernstein,et al.  Cultural user modeling with CUMO: an approach to overcome the personalization bootstrapping problem , 2007 .

[9]  Boris Brandherm,et al.  Gumo - The General User Model Ontology , 2005, User Modeling.

[10]  Constantine Stephanidis,et al.  Adaptable and Adaptive User Interfaces for Disabled Users in the AVANTI Project , 1998, IS&N.

[11]  W. Nejdl,et al.  Intelligent Distributed User Modelling : from Semantics to Learning , 2007 .

[12]  Andy Smith,et al.  Quantifying Hofstede and Developing Cultural Fingerprints for Website Acceptability , 2003, International Workshop on Internationalization of Products and System.

[13]  Peter Dolog,et al.  Personalisation in Elena: How to cope with personalisation in distributed eLearning Networks , 2003 .

[14]  Nicola Henze.  Personalization Services for e-Learning in the Semantic Web , 2005 .