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商品コード: 9783319310527

Toward Robotic Socially Believable Behaving System

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書名

Toward Robotic Socially Believable Behaving Systems, Volume II: Modeling Social Signals
著者・編者 Esposito, A. & Jain, L.C.
出版社/発行元 Springer
発行年/月 2016年5月   
装丁 Hardcover
ページ数/巻数 207 ページ
ISBN 978-3-319-31052-7
発送予定 海外倉庫よりお取り寄せ 2-3週間以内に発送します

 

Desciption

 

This volume presents a collection of research studies on sophisticated and functional computational instruments able to recognize, process, and store relevant situated interactional signals, as well as, interact with people, displaying reactions (under conditions of limited time) that show abilities of appropriately sensing and understanding environmental changes, producing suitable, autonomous, and adaptable responses to various social situations. These social robotic autonomous systems will improve the quality of life of their end-users while assisting them on several needs, ranging from educational settings, health care assistance, communicative disorders, and any disorder impairing either their physical, cognitive, or social functional activities. The multidisciplinary themes presented in the volume will be interesting for experts and students coming from different research fields and with different knowledge and backgrounds. The research reported is particularly relevant for academic centers, and Research & Development Institutions.

 

Contents:

 

1 Moving Robots from Industrial Sectors to Domestic Spheres
2 Modeling Social Signals and Contexts in Robotic Socially Believable Behaving Systems
3 Adaptive and Evolutive Algorithms: A Natural Logic for Artificial Mind
4 Toward Conscious-Like Conversational Agents
5 Communication Sequences and Survival Analysis
6 The Relevance of Context and Experience for the Operation of Historical Sound Change
7 Fostering User Engagement in Face-to-Face Human-Agent Interactions: A Survey
8 Virtual Coaches for Healthy Lifestyle
9 Social Perception in Machines: The Case of Personality and the Big-Five Traits
10 Towards Modelling Multimodal and Multiparty Interaction in Educational Settings
11 Detecting Abnormal Behavioral Patterns in Crowd Scenarios

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