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Non-verbal interaction and amusement feedback capabilities for entertainment robots

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Non-verbal interaction and amusement feedback capabilities for entertainment

robots

Sarah COSENTINO

2015 7

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In the near future robots are expected to play a major role in the society, assisting humans not only in difficult or dangerous tasks but also in everyday chores. In particular, a huge field of application would be entertainment, from simple ente rtaining performance robots to educational or assistive and personal robots for the elderly or physically and mentally challenged persons. In this framework, robots will need to be able not only to do their task like or better than humans, but also to comm unicate with fellow humans naturally and smoothly, at the same level of perception.

To implement a natural way of communication between robot and humans, we must start from the observation of natural human -human communication patterns.

Communication among humans is performed through the simultaneous use of both verbal and non-verbal patterns, as well as conscious and subconscious signals. Robots then should learn to use these two types of patterns and interpret these two types of signals. Non-verbal behavior is as important as verbal communication; it complements and enriches it, and sometimes contradicts and altogether replaces it. In particular, non-verbal communication plays an important role in entertainment performances, in fact skilled entertainers know how to when and how to move to convey effective information, can read the audience emotional reaction and can adapt their performance accordingly. Entertainment robots should then learn how to effectively communicate with the human audience. In this thesis, the road towards the integration of social communication skills in entertainment robots is presented. The specific goal of this work is to develop a method enabling a robot to perceive both conscious, direct commands and subconscious, emotional huma n communication signals.

More specifically, in this work the aims are achieved by:

1) developing a new reconfigurable wearable system to capture and analyze human movement carrying communication information

2) combining human motion tracking and physiolog ical measurement data to enhance the recognition of human behavior and emotion

3) verifying that the proposed system can be reconfigured and used in various settings to perceive both conscious, direct and emotional, indirect communication from humans, in particular non-verbal gestural commands and amusement cues.

The research has been carried out in Japan, United States, United Kingdom and France.

This thesis consists of 7 chapters in which are presented the background of the issue addressed, the theoretical and empirical notions on which the proposed methodology is based, the specific robot platforms used and the experiments to test and validate such methodology, and a discussion on limits and possible extensions of this work. The thesis is laid out as follows:

Chapter 1 introduces the background with a detailed analysis on the motivations at the basis of this work. The author explains the theory on entertainment, why entertainment is important, and in particular what are the current limitations of

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2 entertainment robotics.

Chapter 2 is dedicated to the specific entertainment robot platforms used in the development of this work, the Waseda Flutist robot WF -RVII, the Waseda Saxophonist robot WAS-3, and the Waseda humanoid emotional robot, KOBIAN. It describes their characteristics and purpose, and the limitation that the present work is meant to overcome. In particular, it gives an overview of the state of the art of the robots and their specific interaction needs and purposes.

Chapter 3 explains in deep the t heory of human social communication, exploring in particular paralanguage and kinesics, conscious and unconscious communication. It contains the basics of emotions and physiological changes related to communication signals, and it explains the methodology proposed for detection and analysis of both cognitive and emotional kinesics. At the end of the chapter the proposed approach limitations and extensions are discussed.

Chapter 4 addresses the problem of recognizing a natural language, in the form of direct, intentional kinesics, and it presents the practical implementation of the proposed general human-robot interaction method on the Waseda Flutist robot WF -RVII, according to its specific needs. In particular, basic theory of music and musical interaction is presented, together with a novel non -verbal, direct interaction framework.

At the end of the chapter the proposed approach limitations and extensions are discussed.

Chapter 5 addresses the problem of conscious emotional interaction. Conscious emotional signals mimic and are modelled intuitively on unconscious emotional signals, as the subject is used to perceive them. Differently from symbolic natural language signs, these signals are not fixed, and more subjective, however more universally recognized from humans as a species. The proposed general human -robot interaction method is tested on the Waseda Saxophonist robot WAS -3, interacting with a dancer. In particular, basic notions on modern and expressive dance are presented, together with an analysis of emotional body movement expressions in dance. At the end of the chapter the proposed approach limitations and extensions are discussed.

Chapter 6 addresses the problem of indirect, unconscious emotional expression, and it presents the practical implementati on of the proposed general human -robot interaction method on the Waseda humanoid emotional robot KOBIAN, as an entertainment comedian robot. In particular, theory of humorous interaction is presented, together with a novel non-verbal, emotional interaction framework. At the end of the chapter the proposed approach limitations and extensions are discussed.

Finally, chapter 7 concludes the thesis. Results are restated and evaluated from a general perspective. Broader considerations and future works are discus sed, showing the overall contribution of this thesis, and also different future research directions.

The major achieved results are summarized as follows. A framework for conscious

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