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| 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 | |
| Authors |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| 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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