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This volume is a collection of researchstudies on the modeling of emotions in complex autonomous systems. Severalexperts in the field are reporting their efforts and reviewing the literaturein order to shed lights on how the processes of coding and decoding emotionalstates took place in humans, which are the physiological, physical, andpsychological variables involved, invent new mathematical models and algorithmsto describe them, and motivate these investigations in the light of observablesocietal changes and needs, such as the aging population and the cost of healthcare services. The consequences are the implementation of emotionally andsocially believable machines, acting as helpers into domestic spheres, whereemotions drive behaviors and actions.
The contents of the book are highlymultidisciplinary since the modeling of emotions in robotic socially believablesystems requires a holistic perspective on topics coming from differentresearch domains such as computer science, engineering, sociology, psychology,linguistic, and information communication. The book is of interest both to experts and students since last researchworks on a so complex multidisciplinary topic are described in a neat anddidactical scientific language.
List of contents
Morethan the Modeling of Emotions: A foreword.- ModelingEmotions in Robotic Socially Believable Behaving Systems.- The Role of Intention inCognitive Robotics.- Engagement Perception and Generation for SocialRobots and Virtual Agents.- Social Development of Artificial Cognition.- Going Further in AffectiveComputing: How Emotion Recognition Can Improve Adaptive User Interaction.- Physical and Moral Disgust with Socially Believable BehavingSystems in Different Cultures.- Speaker's Hand Gestures CanModulate Receiver's Negative Reactions to a Disagreeable Verbal Message.- Laughter Research: a Reviewof the ILHAIRE Project.- Prosody Enhances Cognitive Infocommunication:Materials from the HuComTech Corpus.- Analysis of Emotional Speech: Areview.
Summary
This volume is a collection of research
studies on the modeling of emotions in complex autonomous systems. Several
experts in the field are reporting their efforts and reviewing the literature
in order to shed lights on how the processes of coding and decoding emotional
states took place in humans, which are the physiological, physical, and
psychological variables involved, invent new mathematical models and algorithms
to describe them, and motivate these investigations in the light of observable
societal changes and needs, such as the aging population and the cost of health
care services. The consequences are the implementation of emotionally and
socially believable machines, acting as helpers into domestic spheres, where
emotions drive behaviors and actions.
The contents of the book are highly
multidisciplinary since the modeling of emotions in robotic socially believable
systems requires a holistic perspective on topics coming from different
research domains such as computer science, engineering, sociology, psychology,
linguistic, and information communication.
The book is of interest both to experts and students since last research
works on a so complex multidisciplinary topic are described in a neat and
didactical scientific language.
