Agenda

ABSTRACT

In this talk, Prof. Parra will review research from the latest 20 years on visual interfaces for recommender systems considering aspects such as explainability, transparency and users’ control, how they relate to the user experience with recommendation systems, and what lessons we can synthesize from that work. Later, he will connect these results with the latest research on visual interfaces for explainable AI (XAI) systems, and will present new ideas and questions for current and future work.

PRESENTER

Denis Parra is Associate Professor at the Department of Computer Science, in the School of Engineering at Pontificia Universidad Catolica de Chile. He is also principal researcher at the excellence research centers CENIA (National Center for Research in Artificial Intelligence in Chile, 2021-2031), iHealth (Millennium Institute for Intelligent Healthcare Engineering, 2021-2031), and adjunct researcher at the IMFD (Millennium Institute for Research on Fundamentals of Data). He earned a Fulbright scholarship to pursue his PhD studies between 2008-2013 at the University of Pittsburgh, USA, advised by Professor Peter Brusilovsky, with a doctoral thesis on User Controllability on Recommendation Systems. Prof. Parra has published numerous articles in prestigious journals such as ACM TiiS, ACM CSUR, IJHCS, ESWA, and PloS ONE, as well as in conferences such ACM IUI, ACM RecSys, UMAP, ECIR, Hypertext, and EuroVis among others. Prof. Parra has been awarded a student best paper award at UMAP conference 2011, as well as candidate best paper awards twice at ACM IUI, in 2018 and 2019, for his research on intelligent user interfaces for recommender systems and on AI medical applications. He has also been selected as best reviewer at the Web Conference 2017 and candidate to best reviewer at ACM RecSys 2018 and 2019. Prof. Parra has served as senior PC chair in conferences such as IUI, RecSys, UMAP, SIGIR, The Web Conference and WSDM.

Prof. Parra research interests are Recommender Systems, Intelligent User Interfaces, Applications of Machine Learning (Healthcare, Creative AI) and Information Visualization. He is currently leading the Human-centered AI and Visualization (HAIVis) research group as well as co-leading the CreativAI Lab with professor Rodrigo Cádiz. He is also a faculty member of the PUC IA Lab.

WHEN AND WHERE

March 21, 2022 (15:00 CET)

The First Workshop on Adaptive and Personalized Explainable User Interfaces (APEx-UI 2022) is currently planned to be held virtually, as well as the hosting conference.