Toyoaki Nishida – författare
Conversational Informatics
An Engineering Approach
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Conversational informatics investigates human behaviour with a view to designing conversational artifacts capable of interacting with humans in a conversational fashion. It spans a broad array of topics including linguistics, psychology and human-computer interaction. Until recently research in such areas has been carried out in isolation, with no attempt made to connect the various disciplines. Advancements in science and technology have changed this.
Conversational Informatics provides an interdisciplinary introduction to conversational informatics and places emphasis upon the integration of scientific approaches to achieve engineering goals and to advance further understanding of conversation.
It features a collection of surveys structured around four prominent research areas: conversational artifacts, conversational contents, conversation environment design and conversation measurement, analysis and modelling.
Conversational artifacts shows how synthetic characters or intelligent robots use eye gaze, gestures and other non-verbal communicators to interact. Conversational contents looks at developing techniques for acquiring, editing, distributing and utilising the contents that are produced and consumed in conversation. Conversation environment design explains techniques for creating intelligent virtual environments and for representing individuals within a virtual environment by monitoring and reproducing their non-verbal conversational behaviour. Conversation measurement, analysis and modelling demonstrate how conversational behaviour can be measured and analyzed.Conversational Informatics will be an invaluable resource for postgraduate students and researchers in Computer Science and Electrical Engineering as well as engineers and developers working in the field of automation, robotics and agents technology.
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1 116 kr
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1 459 kr
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This book explores an approach to social robotics based solely on autonomous unsupervised techniques and positions it within a structured exposition of related research in psychology, neuroscience, HRI, and data mining. The authors present an autonomous and developmental approach that allows the robot to learn interactive behavior by imitating humans using algorithms from time-series analysis and machine learning.
The first part provides a comprehensive and structured introduction to time-series analysis, change point discovery, motif discovery and causality analysis focusing on possible applicability to HRI problems. Detailed explanations of all the algorithms involved are provided with open-source implementations in MATLAB enabling the reader to experiment with them. Imitation and simulation are the key technologies used to attain social behavior autonomously in the proposed approach. Part two gives the reader a wide overview of research in these areas in psychology, and ethology. Based on this background, the authors discuss approaches to endow robots with the ability to autonomously learn how to be social.
Data Mining for Social Robots will be essential reading for graduate students and practitioners interested in social and developmental robotics.
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562 kr
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545 kr
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712 kr
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1 116 kr
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1 459 kr
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Modelling Machine Emotions for Realizing Intelligence
Foundations and Applications
1 622 kr
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2 049 kr
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Modelling Machine Emotions for Realizing Intelligence
Foundations and Applications
1 622 kr
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1 116 kr
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1 416 kr
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1 116 kr
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1 459 kr
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1 116 kr
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1 459 kr
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This is the second of two volumes, which is contributed by eight team leaders. Besides describing the technical challenges, each contribution lays much weight on discussing the philosophy, concepts, and the implications underlying the project. This work will provide researchers and practitioners in the related areas with an excellent opportunity to find interesting new developments and to think about the relationship between human and information technology.
1 338 kr
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1 910 kr
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