Save the date: 23-25 March 2022 - online format
PERSEO WINTER SCHOOL - Ethics and Interdisciplinary Research Methods for Personalized Robotics
The Winter School is a training event within the ETN on PErsonalized Robotics as SErvice Oriented applications - PERSEO
The PERSEO Winter School offers a new forum for learning, exchange and in-depth investigation of technological, methodological, and ethical aspects of personalized human-robot interaction, with the goal to understand and critically evaluate the opportunities and challenges in personal robotics.
The aim of personal robotics is to develop robots which adapt and personalize their tasks and behaviors to each user's unique characteristics and needs. While personal robotics expands the possibilities in human-robot interaction, it also raises ethical concerns about user's data protection, moral rights, and emotional safety of users.
The PERSEO Winter School is a training activity of the European Training Network on PErsonalized Robotics as SErvice Oriented applications (PERSEO). The personal robotics domain is raising new challenges concerning the need for robot behaviour with a high level of personalisation with respect to each user’s needs and preferences. The EU-funded PERSEO project provides training for Early-stage researchers (ESRs) from the fields of computer science, philosophy, and psychology in how robotics technology can be personalised on the physical, cognitive and social levels. This will help the ESRs understand how to address social, legal, and ethical issues that arise with the uptake of personal robots.
We are committed to deliver on the following goals and training: (1) research methods and tools for personalized HRI; (2) user needs / user involvement; (3) experimental design; (4) methodologies for personalized robot applications; (5) data analysis and basic statistics; (6) results: description and analyses.
The focus is on ethical and socio-cultural challenges of personalized human-robot interaction. It moves through a range of topics including artificial intelligence and ethics, data ethics, justice and fairness in algorithms and machine learning, trust and emotions in personalized HRI, deception, and persuasive technologies.
Prof. Tony Belpaeme (Ghent University, NL; University of Plymouth, UK)
Dr. Esther Keymolen (Tilburg University, NL)
Prof. Vincent C. Müller (Technical University of Eindhoven, NL)
Prof. Mark Coeckelbergh, Universität Wien (AT)
Prof. Yiannis Demiris, Imperial College London, Personal Robotics Lab (UK)
Dr. Giulia Perugia, Eindhoven University of Technology (NL)
Dr. Bojana Romic, Malmö University (SE)
Dr. Eugenia Stamboliev, Universität Wien (AT)
Prof. Angelo Cangelosi, University of Manchester (UK)
Prof. Alessandra Sciutti, Istituto Italiano di Tecnologia