Positive Technology Journal

PRESENCCIA and SKILLS are two integrated projects that both aim to advance Virtual Reality technology. These projects are highly interdisciplinary encompassing, among others, computer science, robotics, engineering, interaction design, cognitive science, neuroscience, psychology and philosophy. All these fields, however diverse their interests, come together in the goal of integrating human interaction in mixed and virtual reality environments in order to enhance the user’s experience and enabling him to act and interact in a natural and familiar way by means of enactive paradigms.

The most interesting, challenging and useful digital environments are social, focussing on supporting (group) interaction between real people and other remote people or real people and virtual people. The aim is to understand, track and give appropriate feedback in verbal, non-verbal and implicit interactions while also making digital content more believable and intelligent.

Likewise, a number of methods need to be developed allowing users of virtual environments to not only perform actions effectively in a variety of different scenarios but also be able to choose from a repertoire of suitable actions. This requires adequate digital representations of human skills and also techniques to capture, interpret and deliver them by means of multimodal interfaces, robotics and virtual environments within enactive interaction paradigms.

At the low-level end of the spectrum we also aim to understand the neural basis of presence and its response. Its enhancement and its application is the fundamental object of study from many different points of view, and including visual, haptic and auditory modalities.

To participate to the Workshop, please register on line:
http://www.percro.org/registrationXVR2009/

Keynote Speakers

Salvatore Maria Aglioti, Psychology Department , Università di Roma "La Sapienza” and IRCCS Fondazione Santa Lucia, Roma (http://w3.uniroma1.it/aglioti/) ù

Flesh made Soul: Bodies in the Brain.

Talking about the body implies talking about the very “special object” that allows a deep interconnection between the ability to have self-consciousness and the ability to experience a world of objects. My talk will be based on the studies in healthy and brain damaged subjects we performed in the past fifteen years on the neural representation of the body. I will put forward the idea that, although trivially made of flesh, blood and bones, the body can be considered the “psychic object” par excellence, which mediates and implements a variety of complex functions, ranging from the notion of self to social interactions and negotiations.

Jan Peters, Dept. Empirical Inference, Max-Planck-Institute for Biological Cybernetics, Tuebingen, Germany (http://www-clmc.usc.edu/~jrpeters/)

Towards Motor Skill Learning in Robotics.

Autonomous robots that can assist humans in situations of daily life have been a long standing vision of robotics, artificial intelligence,
and cognitive sciences. A first step towards this goal is to create robots that can learn tasks triggered by environmental context or higher level instruction. However, learning techniques have yet to live up to  this promise as only few methods manage to scale to high-dimensional manipulator or humanoid robots. In this talk, we investigate a general framework suitable for learning motor skills in robotics which is based on the principles behind many analytical robotics approaches. We propose new, task-appropriate architectures, such as the Natural Actor-Critic and the PoWER algorithm.
and cognitive sciences. A first step towards this goal is to create robots that can learn tasks triggered by environmental context or higher level instruction. However, learning techniques have yet to live up to  this promise as only few methods manage to scale to high-dimensional manipulator or humanoid robots. In this talk, we investigate a general framework suitable for learning motor skills in robotics which is based on the principles behind many analytical robotics approaches. We propose new, task-appropriate architectures, such as the Natural Actor-Critic and the PoWER algorithm.