CHIP Project Cultural Heritage Information Personalization Lora Aroyo, TU/e Rogier Brussee, Telematica Instituut Peter Gorgels, Rijksmuseum Lloyd Rutledge,

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Presentation transcript:

CHIP Project Cultural Heritage Information Personalization Lora Aroyo, TU/e Rogier Brussee, Telematica Instituut Peter Gorgels, Rijksmuseum Lloyd Rutledge, Telematica Instituut Natalia Stash, TU/e Mettina Veenstra, Telematica Instituut Paul De Bra, TU/e

CHIP: Information Personalization  CATCH program  Cultural Partner Rijksmuseum Amsterdam  Cultural Goal Personally engaging Website  Scientific Goal Personalization of Presentation & Navigation Interactive User Modelling Semantic-based User Interaction & Data Access

User Model StaffDB RMA Collection ClientsDB MyRijksmuseumRMAWebsite E-ticketing E-shop News Courses Collectionbrowse Virtual tours Uses / Updates Metadata visits Personalization of RMA Web Site Data Model

Interactive User Profile Building  Unobtrusive & User-friendly way to collect user data: Personal preferences Art & history interests Emotional characteristics etc.  Semantic enriched data for efficient: Navigation and browsing of Rijksmuseum collection Feedback to the user User profile conceptualization Recommendation generation  Personalized Services on the Rijksmuseum Web site: Personalized tours of the museum Surprise tour of the museum Art& history tour of the museum

Recommendations  Content-based  Statistical analysis of the collection Top artists Most occurring themes  Recommend domain topics related to the user profile: Artists Themes Periods and locations  Recommend artefacts related to the user profile

RMA Data  ARIA 750 artefacts Website targeted Current focus  Adlib 50,000 artefacts Curator targeted  Flash formats Focus on document/interface structure Website targeted

External Ontologies to Integrate  AAT Styles Periods  ULAN: artists  TGN: locations  Iconclass Topics and Themes

Demonstrator Architecture

Demonstrator Evolution  Explored several concepts for: Interaction Information visualization Content-based recommendations User profile presentation  Analyzed the RMA data: Introducing structure to existing ARIA vocabularies Add styles information Add use of external domain ontologies

Evaluation plans  On-line user studies: Users: Rijksmuseum visitors Test procedure:  Online, without examiner  Questionnaire  Off-line Test Sessions: Users:  Rijksmuseum experts  Art lovers  General users (of different age groups) Test procedure:  With examiner  Video, walkthrough, think-aloud, task-centered, etc.  Questionnaires

Evaluation plans (2)  Evaluation criteria: Requirements  User Interface  Functional Success factors Golden standards for various tasks Statistical criteria  Precision, recall  Time

Links  Demo URL:  CHIP Web Site:

Acknowledgements  Rijksmuseum: Xenia Henny Tom van der Meer Renate Meijer Dick Rijken Niki van Wijk  STITCH project  e-culture project