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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title MOCCA - A system that learns and recommends visual preferences based on cultural similarity
Organization Unit
  • Katharina Reinecke
  • Patrick Minder
  • Abraham Bernstein
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
ISBN 978-1-4503-0419-1
Page Range 453 - 454
Event Title 16th International Conference on Intelligent User Interfaces (IUI)
Event Type conference
Event Location Palo Alto
Event Start Date February 13 - 2011
Event End Date February 16 - 2011
Place of Publication Lisbon, Portugal
Publisher ACM
Abstract Text We demonstrate our culturally adaptive system MOCCA, which is able to automatically adapt its visual appearance to the user's national culture. Rather than only adapting to one nationality, MOCCA takes into account a person's current and previous countries of residences, and uses this information to calculate user-specific preferences. In addition, the system is able to learn new, and refine existing adaptation rules from users' manual modifications of the user interface based on a collaborative filtering mechanism, and from observing the user's interaction with the interface.
Digital Object Identifier 10.1145/1943403.1943495
Other Identification Number merlin-id:2404
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