|Saturday, 18 July 2020
This year HAAPIE goes virtual! We have the honour to host two keynote speakers and offer an attractive blend of presentations, exchange of knowledge & experiences. The times in the schedule are all in UTC +0 (please refer to the table below depending on your time-zone respectively).
|10:00 - 10:15||Welcome and Speed Introductions|
|Session 1 – Keynote & Papers Presentation
Session Chair: Panagiotis Germanakos, SAP SE & University of Cyprus
|10:15 - 11:00 || Keynote: Building User Trust in Recommendations via Fairness and Explanations
Dr. Dimitris Sacharidis, TU Wien
Abstract: As more and more aspects of our everyday lives are influenced by automated decisions made by recommender systems, it becomes natural to question whether these systems are trustworthy, particularly given the opaqueness and complexity of their internal workings. In this talk, we discuss techniques for increasing the user's trust in the decisions of a recommender system, focusing on fairness aspects and explanation approaches. On the one hand, fairness means that the system exhibits certain desirable ethical traits, such as being non-discriminatory, diversity-aware, and bias-free. On the other hand, explanations provide human-understandable interpretations of the inner working of the system. Both mechanisms can be used in tandem to promote trust in the system. In addition, we investigate user trust from the standpoint of different stakeholders that potentially have varying levels of technical background and diverse needs.
Short Bio: Dimitris Sacharidis is with the E-Commerce Research Unit of TU Wien, Austria. Prior to that, he was a junior researcher at "Athena" Research Center, Greece, and a postdoc at the Hong Kong University of Science and Technology supported by a Marie Skłodowska-Curie individual fellowship. His research interests include topics related to data science, data management, data mining, and recommender systems.
|11:00 - 11:30||Confusion Detection Dataset of Mouse and Eye Movements
|11:30 - 12:00||Virtual Coffee Break & Networking in Zoom breakout rooms|
|Session 2 – Papers Presentation
Session Chair: Alicja Piotkowicz, Scaled Insights & University of Leeds
|12:00 - 12:30||Towards Personalisation for Learner Motivation in Healthcare: A Study on Using Learner Characteristics to Personalise Nudges in an e-Learning Context
|12:30 - 13:00||Towards Open Learner Models including the Flow state
|13:00 - 13:30||Simulation Environment for Guiding the Design of Contextual Personalization Systems in the Context of Hearing Aids
|13:30 - 14:00||Virtual Coffee Break & Networking in Zoom breakout rooms|
|Session 3 – Papers Presentation & Keynote
Session Chair: Ben Steichen, California State Polytechnic University, Pomona
|14:00 - 14:30||DANOS: A Human-Centered Decentralized Simulator in SIOT
|14:30 - 15:15 || Keynote: Personalization, Bias and Privacy
Prof. Ricardo Baeza-Yates, Northeastern University at Silicon Valley
Abstract: Personalization can be seen as a positive bias towards each user. However, it also has negative consequences such as privacy loss as well as the filter bubble effect due to the feedback-loop that creates. In addition, the web system itself can bias the user interaction distorting the data used for personalization, particularly due to exposure bias. Our own biases also affects the personalization process, especially activity bias. Privacy also depends on the personalization level and the personalization level depends on the amount of interaction data available. In this presentation we discuss the interaction of these three elements: personalization, bias and privacy.
Short Bio: Ricardo Baeza-Yates is Director of Data Science Programs at Northeastern University, Silicon Valley campus, since 2017. Before, he was VP of Research at Yahoo Labs, based in Barcelona, Spain, and later in Sunnyvale, California, from 2006 to 2016. He is co-author of the best-seller Modern Information Retrieval textbook published by Addison-Wesley in 1999 and 2011 (2nd ed), that won the ASIST 2012 Book of the Year award. From 2002 to 2004 he was elected to the Board of Governors of the IEEE Computer Society and between 2012 and 2016 was elected for the ACM Council. Since 2010 is a founding member of the Chilean Academy of Engineering. In 2009 he was named ACM Fellow and in 2011 IEEE Fellow, among other awards and distinctions. In 2018 he obtained the Spanish National Awards in Applied Computer Science. He obtained a Ph.D. in CS from the University of Waterloo, Canada, in 1989, and his areas of expertise are web search and data mining, information retrieval, data science and algorithms in general.
|Session 4 – Closing Remarks & Feedback
Session Chair: Vania Dimitrova, University of Leeds
|15:15 - 15:30||Final Discussion & Best Paper Announcement
|15:30 - 16:00||Virtual Coffee Break & Networking in Zoom breakout rooms|