User Modeling, Adaptation and Personalization

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 2015

UMAP 2015
The 23rd Conference on User Modeling, Adaptation and Personalization
Trinity College, Dublin, Ireland
June 29 - July 3, 2015

http://www.um.org/umap2015/

Deadlines:

  • Will be announced soon
 

UMAP 2014 Best Paper Awards

The following papers have been awarded at UMAP 2014, the 22nd conference on User Modeling, Adaptation and Personalization (Aalborg, Denmark, 7-11 June 2014):

Ben Steichen, Michael M.A. Wu, Dereck Toker, Cristina Conati and Giuseppe Carenini.
Te,Te,Hi,Hi: Eye Gaze Sequence Analysis for Informing User-Adaptive Information Visualizations
(Springer Best Paper Award)

Robert Bixler and Sidney D'Mello
Toward Fully Automated Person-Independent Detection of Mind Wandering
(James Chen Best Student Paper Award)

Amir Shareghi Najar, Tanja Mitrovic and Bruce M. McLaren
Adaptive support versus alternating worked examples and tutored problems: Which leads to better learning?
(James Chen Best Student Paper Award)

 

2013 UMUAI James Chen Award

The following paper has been chosen as the recipient of the 2013 James Chen Annual Award for Best Journal Article.

Peter Pirolli and Sanjay Kairam:
A knowledge-tracing model of learning from a social tagging system.
Vol. 23, Issue 2-3, pp. 139–168. http://dx.doi.org/10.1007/s11257-012-9132-1

It was selected based on nominations from journal reviewers and editorial board members, and a subsequent comparative review by an award committee.

 

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