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.
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
The following paper has been chosen as the recipient of the 2015 James Chen Annual Award for Best Journal Article.
Dietmar Jannach, Lukas Lerche, Iman Kamehkhosh, Michael Jugovac
What recommenders recommend: an analysis of recommendation biases and possible countermeasures
UMUAI Vol. 25, issue 5, pp. 427–491
It was selected based on nominations from journal reviewers and editorial board members, and a subsequent comparative review by an award committee.