Paper
11 July 2002 Importance of nonverbal expression to the emergence of emotive artificial intelligence systems
Giovanni Pioggia, David Hanson, Serena Dinelli, Fabio Di Francesco, R. Francesconi, Danilo De Rossi
Author Affiliations +
Abstract
The nonverbal expression of the emotions, especially in the human face, has rapidly become an area of intense interest in computer science and robotics. Exploring the emotions as a link between external events and behavioural responses, artificial intelligence designers and psychologists are approaching a theoretical understanding of foundational principles which will be key to the physical embodiment of artificial intelligence. In fact, it has been well demonstrated that many important aspects of intelligence are grounded in intimate communication with the physical world- so-called embodied intelligence . It follows naturally, then, that recent advances in emotive artificial intelligence show clear and undeniable broadening in the capacities of biologically-inspired robots to survive and thrive in a social environment. The means by which AI may express its foundling emotions are clearly integral to such capacities. In effect: powerful facial expressions are critical to the development of intelligent, sociable robots. Following discussion the importance of the nonverbal expression of emotions in humans and robots, this paper describes methods used in robotically emulating nonverbal expressions using human-like robotic faces. Furthermore, it describes the potentially revolutionary impact of electroactive polymer (EAP) actuators as artificial muscles for such robotic devices.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Giovanni Pioggia, David Hanson, Serena Dinelli, Fabio Di Francesco, R. Francesconi, and Danilo De Rossi "Importance of nonverbal expression to the emergence of emotive artificial intelligence systems", Proc. SPIE 4695, Smart Structures and Materials 2002: Electroactive Polymer Actuators and Devices (EAPAD), (11 July 2002); https://doi.org/10.1117/12.475188
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Artificial intelligence

Electroactive polymers

Intelligence systems

Robotics

Robots

Actuators

Physiology

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