Teaching ~ Research ~ Publications ~ CV
Assistant Professor (RTD)
Free University of Bozen-Bolzano Faculty of Computer Science
Piazza Domenicani 3, I-39100 Bozen-Bolzano, Italy
E-mail: marko.tkalcic at unibz.it
Office: POS 1.13
My research interests are in exploiting psychologically motivated constructs, such as personality and emotions, to improve recommender systems and personalized systems in general.
The paper On the Interrelation between Listener Characteristics and the Perception of Emotions in Classical Orchestra Music based on our research within the Phenicx project has been published:
Schedl, M., Gomez, E., Trent, E. S., Tkalčič, M., Eghbal-zadeh, H., & Martorell, A. (2017). On the Interrelation between Listener Characteristics and the Perception of Emotions in Classical Orchestra Music. IEEE Transactions on Affective Computing. https://doi.org/10.1109/TAFFC.2017.2663421
Together with Peter Knees, Alan Said and Kristina Anderson we are organizing the 2nd Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems (SOAP) held in conjunction with UMAP 2017, 9-12th July, 2017, Bratislava, Slovakia.
Together with Mark Graus, Bruce Ferwerda, Martijn Willemsen, Panagiotis Germanakos and Markus Schedl we are organizing the workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE) held in conjunction with IUI 2017
I am looking for motivated PhD students to work with me in the areas of emotion- and personality-based recommender systems for the academic year 2016/17 at the Faculty of Computer Science at the Free University of Bolzano. The deadline for applying is 8. June 2016. The PhD study programme starts on 1. November 2016 and lasts three years. The Faculty of Computer Science will fund nine (9) PhD students. Please read the call for applications. Please, email me to discuss the topics.
Our edited volume Emotions and Personality in Personalized Systems is coming on bookshelves in July 2016.