Toward Robotic Socially Believable Behaving Systems - Volume II: Modeling Social Signals

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Anna Esposito, Lakhmi C. Jain
Springer, Mar 29, 2016 - Technology & Engineering - 207 pages
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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.


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A Foreword
2 Modeling Social Signals and Contexts in Robotic Socially Believable Behaving Systems
A Natural Logic for Artificial Mind
4 Toward ConsciousLike Conversational Agents
5 Communication Sequences and Survival Analysis
6 The Relevance of Context and Experience for the Operation of Historical Sound Change
A Survey
8 Virtual Coaches for Healthy Lifestyle
The Case of Personality and the BigFive Traits
10 Towards Modelling Multimodal and Multiparty Interaction in Educational Settings
11 Detecting Abnormal Behavioral Patterns in Crowd Scenarios
Author Index

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