Program

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Please download the full program here: 2017-Symbiotic-Program

Keynote Speakers
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Anne-Marie Brouwer

Affiliation: The Netherlands Organization for Applied Scientific Research (TNO), Soesterberg

Title: Mental state monitoring using physiological signals to evaluate food experience, reduce delays in head-mounted displays, and everything in between.

Short Bio: Anne-Marie Brouwer is senior scientist at TNO Netherlands Organization for Applied Scientific Research, Soesterberg). Anne-Marie studied experimental psychology and obtained her PhD on eye-hand coordination research in 2002 at the Erasmus MC in Rotterdam. Following post-docs at the Max Planck Institute in Tübingen and the University of Rochester (NY) she started working at TNO in 2007. Her main topic of research became BCI and using brain and other physiological signals as potential sources of information about an individual’s cognitive and emotional state. Anne-Marie works on basic research projects for different parties, such as basic science funds, defense, and food industry. She is dedicated to explore the added value of physiological measures, connecting lab and real life studies, and be open about the challenges that still exist as well as finding ways to cope with these.

Nederland/Nijmegen:  19-02-2013 Pim Haseleger Foto: Bert Beelen

Pim Haselager

Affiliation: Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen

Title: On the ethics of symbiotic interaction design: No need to say ’Ni’

Short Bio: Pim Haselager obtained master degrees in philosophy and psychology, and received his PhD in 1995 at the Free University of Amsterdam, the Netherlands. Currently he is associate professor (Theoretical Cognitive Science) at the Donders Institute for Brain, Cognition and Behaviour, at the Radboud University Nijmegen. His research focuses on the implications of Cognitive neuroscience and Artificial Intelligence for human self-understanding. He investigates the ethical and societal implications of research in, and the ensuing technologies of, CNS and AI, such as Robotics, Brain-Computer Interfacing, and Deep Brain Stimulation.

Keynote Title & Abstract: Socially Sensitive Technologies for Symbiotic Human-Robot Interaction.

Societal challenges, such as an ageing population, have created the need for a new generation of robots hat are able to smoothly interact with people in their daily environment. Such robots require a great amount of social intelligence including the capability to be attentive to the user’s emotional state and respond to it appropriately. In the past ten years, an increasing amount of effort has been dedicated to explore the potential of affective computing in human interaction with humanoid robots. On the one hand, robust techniques are researched that recognize emotional states from multi-sensory input, such as facial expressions, gestures and speech. On the other hand, mechanisms are under development that generate and display emotional states of robots, for example, by deformations of synthetic skin. In my talk, I will describe various computational approaches to implement empathic behaviors in a robot. Besides analytic approaches that are informed by theories from the cognitive and social sciences, I will discuss empirical approaches that enable a robot to learn empathic behaviors from recordings of human-human interactions or from life interactions with human interlocutors.

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Elizabeth André

Affiliation: Ausburg University, Germany

Title & Abstract: Socially Sensitive Technologies for Symbiotic Human-Robot Interaction

Societal challenges, such as an ageing population, have created the need for a new generation of robots hat are able to smoothly interact with people in their daily environment. Such robots require a great amount of social intelligence including the capability to be attentive to the user’s emotional state and respond to it appropriately. In the past ten years, an increasing amount of effort has been dedicated to explore the potential of affective computing in human interaction with humanoid robots. On the one hand, robust techniques are researched that recognize emotional states from multi-sensory input, such as facial expressions, gestures and speech. On the other hand, mechanisms are under development that generate and display emotional states of robots, for example, by deformations of synthetic skin. In my talk, I will describe various computational approaches to implement empathic behaviors in a robot. Besides analytic approaches that are informed by theories from the cognitive and social sciences, I will discuss empirical approaches that enable a robot to learn empathic behaviors from recordings of human-human interactions or from life interactions with human interlocutors.

Short Bio:
Elisabeth André is a full professor of Computer Science and Founding Chair of Human-Centered Multimedia at Augsburg University in Germany where she has been since 2001. She has multiple degrees in computer science from Saarland University, including a doctorate. Previously, she was a principal researcher at the German Research Center for Artificial Intelligence (DFKI GmbH) in Saarbrücken. Elisabeth André has a long track record in multimodal human-machine interaction, embodied conversational agents, social robotics, affective computing and social signal processing. She has served as a General and Program Co-Chair of major international conferences including International Conference on Antonomous Agents and Multiagent Sytems, ACM International Conference on Intelligent User Interfaces (IUI) and ACM International Conference on Multimodal Interfaces (ICMI). In 2010, Elisabeth André was elected a member of the prestigious Academy of Europe, the German Academy of Sciences Leopoldina, and AcademiaNet. To honor her achievements in bringing Artificial Intelligence techniques to HCI, she was awarded a EurAI fellowship (European Coordinating Committee for Artificial Intelligence) in 2013. Most recently, she was elected to the CHI Academy, an honorary group of leaders in the field of human-computer interaction.