UMAP 2010 Big Island - Hawai

1. School of Computing FACULTY OF ENGINEERING UMAP 2010Big Island - Hawai

2. Workshops & Tutorials • Adaptive Collaboration Support • Adaptation in Social and Semantic Web - SASweb 2010 • Evaluation of Adaptive Systems - Tutorials

3. Adaptive Collaboration Support Alexandros Paramythis and Stavros Demetriadis • Discussion-based workshop - The idea was to bring together people who work in different aspects of collaboration support • Supporting group formation with the purpose of “effective” collaboration - Liana Razmerita, Copenhagen Business School, Denmark • Algorithm design for group formation • What properties are important when forming a group • Homogeneous Vs Heterogeneous groups of students in terms of knowledge level • How can these properties be represented in computational methods • Supporting groups of people with disabilities to work together • How can UMAP techniques inform computational methods in collaborative organisational building for people with disabilities? • What aspects need to be considered when forming groups with different abilities

4. SASWeb 2010 Carlo Tasso, Federica Cena, Antonina Dattolo,Styliani Kleanthous, David Bueno Vallejo and Julita Vassileva • SASWeb 2010 – Adaptation in Social and Semantic Web • http://ailab.dimi.uniud.it/en/events/2010/sasweb/schedule.html • Personalised Information Retrieval – retrieve more relevant results for users’ personal information needs • Providing support for personalised customer care • Collaborative Tagging – The basic level effect • SOBOLEO software – users collaboratively tag bookmarks and use them to build a shared vocabulary • Basic Level Advantage – describe a preferred level of taxonomic abstraction when classifying objects of the real world • Not strong conclusive results on the effect of the basic level.

5. Social Networking - SoCConnect retrieves users’ friends information and their activities on different SN sites – managing friend, rating friends, rating friends and activities, and personalised recommendations of activities. • Evaluation – What features are important for users in order to see what personalised recommendation features are more important. • Trust and Reputation in multiple social networking systems – presented a model for computing trust and reputation. Building a Trust & Reputation ontology. A long discussion on their approach to represent trust and reputation. Many did not agreed with the idea of a trust and reputation ontology • Evaluation of Adaptive Systems – Tutorials • Layered Evaluation – Handouts online

6. Main Conference - Day 1 Interweaving Public User Profiles on the Web - Fabian Abel, Nicola Henze, Eelco Herder and Daniel Krause What are the benefits of aggregating public user profile traces available on the web? • Users reveal different types of facets in different social systems • Solving the cold-start problem • Modelling Long-Term Search Engine Usage – R. White, A. Kapoor and S. Dumais Modelling user behaviours and determine key variables that affect search engine usage • Knowledge of key trends in engine usage and prediction of this usage are invaluable to the designers and marketers of search engines Analysis of Strategies for building Group Profiles – C. Senot, M. Bouzid, D. Kostadinov, J. Picault, C. Bernier, A. Aghasaryan How to select the right strategy? Which group recom. strategy provides the best results? Can we determine some factors that influence the choice of a group recom. strategy? Run preliminary evaluation on a real large-scale dataset of TV viewings.

7. Main Conference - Day 1 • Intelligent Tutoring Systems Scaffolding Self-directed Learning with Personalised Learning Goal Recommendations – Tobias Lay, Barbara Kump, Cornelia Gerdenitsch APOSDLE – adaptive systems that follows the work-integrated learning approach supporting self directed learning at knowledge intensive workplaces Learning Goal Recommendation – Experimental Study effective learning goal recommendation can scaffold self directed learning and increase task performance. “Yes!”: Using Tutor and Sensor Data to Predict Moments of Delight during Instructional Activities - Kasia Muldner, Winslow Burleson and Kurt VanLehn Eye –tracking and skin sensors “Yes!” always followed a correct solution step but a correct solution step was not always followed by a “Yes!” These moments occur after a challenge is overcome Information Retrieval and Text Mining - Mariam Daoud, Mohand Boughanem and Lynda Tamine-Lechani.A personalized graph-based document ranking model using a semantic user profile

8. Main Conference - Day 2 Introspective Views: An Interface for Scrutinising Semantic User Models – Fedor Bakalov, Birgitta Konig-Ries, Andreas Naurez, Martin Welsch Visualisation of overlay user model representing user knowledge or interests http://www.minerva-portals.de/research/introspective-views/ Ontology behind, time also considered Doctoral Consortium Semantically-Enhanced Ubiquitous User Modelling– Till Plumbaum User Modelling Based on Emergent Domain Semantics – Marian Simko, Maria Bielikova Task-Based User Modelling for Knowledge Work Support – Charlie Abela, Chris Staff and Siegfried Handschuh

9. Main Conference - Day 3 • Short Research Papers