Ana Paiva – Instituto Superior Técnico, Technical University of Lisbon
Short Bio: Ana Paiva is an Associate Professor in the Department of Computer Science and Engineering (Departamento de Engenharia Informática) of Instituto Superior Técnico from the Technical University of Lisbon (Universidade Técnica de Lisboa). She is also the group leader of GAIPS (Grupo de Agentes Inteligentes e Personagens Sintéticas), a research group on agents and synthetic characters at INESC-ID. Her main scientific interests lay in the area of Autonomous Agents, Embodied Conversational Agents and Robots and Multiagent Simulation Systems. Prof. Ana Paiva has been researching in the area of artificial intelligence for the past twenty years, having also taught at IST during that period.
Talk: Robots that listen to the user’s heart: The role of emotions in multi-modal communication with social robots
Andrea Bonarini- Department of Electronics, Information, and Bioengineering, Politecnico di Milano
Short Bio: Andrea Bonarini is full professor and coordinator of the AI and Robotics Lab at Politecnico di Milano. His current research interests are on machine learning and emotional human-robot interaction, with special focus on robotic games and toys for entertainment and social, psychological and physical development of people with and without special needs. Since 1989, he has realized with his collaborators and students more than 60 autonomous robots. In 2015, he co-funded Nova Labs, to share experience and tools to produce professional robots in a short time at low cost.
Talk: Speechless social robotic toys: Emotional relations without words
Abstract: More and more sophisticated toys that can perceive signals from the world and physically act in consequence, i.e. robotic toys, are entering the market and are initiating a new way of playing: they cannot any longer treated as props (as traditional plushes and dolls are), but they are agents that can decide their actions, to interact with. This arrangement opens challenges concerning believability and appropriateness of the robot’s behavior, which cannot really exploit speech because of both technological and privacy reasons. Multimodal interaction is relevant for this application, and should keep into account many dimensions, from psychology, to technology, and cost.
Jorge Dias – Institute of Systems and Robotics, University of Coimbra
Short Bio: Jorge Dias has been Associated Professor at the University of Coimbra with activities in the Department of Electrical Engineering and Computers and the Institute of Systems and Robotics.His research activities are in the area of Computer Vision and Robotics and has contributions on the field since 1984. Jorge Dias coordinates the research group for Artificial Perception for Intelligent Systems and Robotics of Institute of Systems and Robotics from University of Coimbra and the Laboratory of Systems and Automation of the Instituto Pedro Nunes. Since July 2011, Jorge Dias is acting as Faculty from ECE/Robotics at Khalifa University in Abu Dhabi.
Talk: BUM – Bayesian User Model for Distributed Social Robots
Abstract: In this work we present a Bayesian User Model for inferring the characteristics and inter-personal relationships of a population users. The model can receive evidence gathered by various interactive devices, such as social robots or wearable devices. The system is modular, with each module being responsible for gathering information and observations from persons present in the system’s operation scenario. This information enables each module to determine a single characteristic of the person. New observations and measurements received by the system are fused with previous knowledge by a sub-process based on an information theory technique. This allows the system to be implemented in diverse heterogeneous distributed system topologies, extending beyond robotics. We have conducted experiments involving a simulated team of social robots and user population with four sets of person types. Our experiments have shown that the system is able to learn and classify the persons’ characteristics, and to find relevant user groups via clustering. This system can potentially be used to gather information on a large set of persons, as well as to be an information source for user-adaptive applications in areas such as Robotics, AAL and Internet of Things.
Date: August 28, 2017
|09:00 – 09:05||Organizers’ introduction and overview of workshop goals|
|09:05 – 09:50||Invited Talk 1 (confirmed): Jorge Dias (University of Coimbra) “BUM – Bayesian User Model for Distributed Social Robots”|
|09:50 – 10:30||Bob Schadenberg, Dirk Heylen and Vanessa Evers: “Affect bursts to constrain the meaning of the facial expression of the humanoid robot Zeno”
Raymond Cuijpers: “Turn-taking cue delays in human-robot communication”
|10:30 – 10:50||Coffee break|
|10:50 – 11:35||Invited Talk 2 (confirmed): Andrea Bonarini (Politecnico di Milano) “Speechless social robotic toys: emotional relations without words”|
|11:35 – 11:55||Alexis Block and Katherine Kuchenbecker: “Physical and Behavioral Factors Improve Robot Hug Quality”|
|11:55 – 12:15||Lightning Round I: Summarized challenges of contributed talks|
|12:15 – 14:00||Lunch|
|14:00 – 14:05||Organizers’ welcome to the afternoon session|
|14:05 – 14:50||Invited Talk 3 (confirmed): Ana Paiva (University of Lisbon) “Robots that listen to the user’s heart: The role of emotions in multi-modal communication with social robots”|
|14:50 – 15:10||Søren Tranberg Hansen, Anders Krogsager and Jakob Fredslund; “A Multimodal Robot Game for Seniors”|
|15:10 – 15:30||Lightning Round II: Summarized challenges of contributed talks|
|15:30 – 15:50||Coffee Break|
|15:50 – 16:20||Brainstorming discussion including keynote speakers and presenters|
|16:20 – 16:35||Presentation of brainstorming results (What did we learn, what are the next questions to follow)|
|16:35 – 16:40||Summing-up and closing|