Cross-cultural user-interface design: what? so what? now what?
CHI '00 Extended Abstracts on Human Factors in Computing Systems
Adaptable and Adaptive User Interfaces for Disabled Users in the AVANTI Project
IS&N '98 Proceedings of the 5th International Conference on Intelligence and Services in Networks: Technology for Ubiquitous Telecom Services
The effects of culture on performance achieved through the use of human computer interaction
SAICSIT '03 Proceedings of the 2003 annual research conference of the South African institute of computer scientists and information technologists on Enablement through technology
Promoting universal usability with multi-layer interface design
CUU '03 Proceedings of the 2003 conference on Universal usability
Dynamic detection of novice vs. skilled use without a task model
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predicting user interface preferences of culturally ambiguous users
CHI '08 Extended Abstracts on Human Factors in Computing Systems
On Enriching Ajax with Semantics: The Web Personalization Use Case
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Combining ontologies and scenarios for context-aware e-learning environments
Proceedings of the 28th ACM International Conference on Design of Communication
MOCCA - a system that learns and recommends visual preferences based on cultural similarity
Proceedings of the 16th international conference on Intelligent user interfaces
Improving performance, perceived usability, and aesthetics with culturally adaptive user interfaces
ACM Transactions on Computer-Human Interaction (TOCHI)
Breaking psychological barrier toward changes: two experiences
UAHCI'13 Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: design methods, tools, and interaction techniques for eInclusion - Volume Part I
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Adapting user interfaces to cultural preferences has been shown to improve a user's performance, but is oftentimes foregone because of its time-consuming and costly procedure. Moreover, it is usually limited to producing one uniform user interface (UI) for each nation disregarding the intangible nature of cultural backgrounds. To overcome these problems, we exemplify a new approach with our culturally adaptive web application MOCCA, which is able to map information in a cultural user model onto adaptation rules in order to create personalized UIs. Apart from introducing the adaptation flexibility of MOCCA, the paper describes a study with 30 participants in which we compared UI preferences to MOCCA's automatically generated UIs. Results confirm that automatically predicting cultural UI preferences is possible, paving the way for low-cost cultural UI adaptations.