If you are interested in any aspect of systems that acquire information about a user (or group of users) so as to be able to adapt their behavior to that user or group, you have come to the right place! UM Inc. is a society of researchers and practitioners who are interested in developing adaptive systems and personalizing users’ experience with systems. Numerous applications of such systems exist for example in the area of natural language understanding and dialogue systems, in computer-based educational systems and online learning environments, in systems for computer supported collaboration, recommender systems for e-Commerce, news and entertainment.
UMAP 2018, the 26th Conference on User Modeling, Adaptation and Personalization will take place 8-11 July 2018 in Singapore. General Chairs are Jie Zhang and Tanja Mitrovic. Program Chairs are David Chin and Li Chen. More details and important dates will follow soon. Check out the conference website.
The UMAP conference series, sponsored by ACM and coordinated by User Modeling Inc. is looking for future hosts, for 2020 and beyond.
When hosting UMAP the ACM takes all of the financial responsibility and therefore needs to approve a detailed bid with budget info. This is why we must start the preparations almost two years in advance.
UMAP is a conference with typically between 130 and 190 participants. UM Inc may provide some limited funds for sponsoring PhD students who wish to attend. ACM will contribute too. But to ensure good student participation you should look for other sponsors as well.
UM Inc. collaborates closely with the organizer in selecting general and program co-chairs and other people involved and in practical matters like selecting the dates, the conference structure, etc.
The bids have to be sent by email to Lora Aroyo (president) Cristina Gena (secretary), no later than December 15, 2017.
Best Paper Award
Experimental Analysis of Mastery Learning Criteria
Radek Pelánek and Jiří Řihák
James Chen Best Student Paper Awards
Out of the Fr-“Eye”-ing Pan: Towards Gaze-Based Models of Attention during Learning with Technology in the Classroom
Stephen Hutt, Caitlin Mills, Nigel Bosch, Kristina Krasich, James Brockmole and Sidney D’Mello
Fine-Grained Open Learner Models: Complexity Versus Support
Julio Guerra-Hollstein, Jordan Barria-Pineda, Christian D. Schunn, Susan Bull and Peter Brusilovsky