Intent Recognition for Human-Machine Interactions


Book Description

Natural interaction is one of the hottest research issues in human-computer interaction. At present, there is an urgent need for intelligent devices (service robots, virtual humans, etc.) to be able to understand intentions in an interactive dialogue. Focusing on human-computer understanding based on deep learning methods, the book systematically introduces readers to intention recognition, unknown intention detection, and new intention discovery in human-computer dialogue. This book is the first to present interactive dialogue intention analysis in the context of natural interaction. In addition to helping readers master the key technologies and concepts of human-machine dialogue intention analysis and catch up on the latest advances, it includes valuable references for further research.




Plan, Activity, and Intent Recognition


Book Description

Plan recognition, activity recognition, and intent recognition together combine and unify techniques from user modeling, machine vision, intelligent user interfaces, human/computer interaction, autonomous and multi-agent systems, natural language understanding, and machine learning. Plan, Activity, and Intent Recognition explains the crucial role of these techniques in a wide variety of applications including: - personal agent assistants - computer and network security - opponent modeling in games and simulation systems - coordination in robots and software agents - web e-commerce and collaborative filtering - dialog modeling - video surveillance - smart homes In this book, follow the history of this research area and witness exciting new developments in the field made possible by improved sensors, increased computational power, and new application areas. - Combines basic theory on algorithms for plan/activity recognition along with results from recent workshops and seminars - Explains how to interpret and recognize plans and activities from sensor data - Provides valuable background knowledge and assembles key concepts into one guide for researchers or students studying these disciplines




Autonomous Robot Vehicles


Book Description

Autonomous robot vehicles are vehicles capable of intelligent motion and action without requiring either a guide or teleoperator control. The recent surge of interest in this subject will grow even grow further as their potential applications increase. Autonomous vehicles are currently being studied for use as reconnaissance/exploratory vehicles for planetary exploration, undersea, land and air environments, remote repair and maintenance, material handling systems for offices and factories, and even intelligent wheelchairs for the disabled. This reference is the first to deal directly with the unique and fundamental problems and recent progress associated with autonomous vehicles. The editors have assembled and combined significant material from a multitude of sources, and, in effect, now conviniently provide a coherent organization to a previously scattered and ill-defined field.




Virtual, Augmented and Mixed Reality: Designing and Developing Augmented and Virtual Environments


Book Description

The two-volume set LNCS 8525-8526 constitutes the refereed proceedings of the 6th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2014, held as part of the 16th International Conference on Human-Computer Interaction, HCI 2014, in Heraklion, Crete, Greece, in June 2014, jointly with 13 other thematically similar conferences. The total of 1476 papers and 220 posters presented at the HCII 2014 conferences were carefully reviewed and selected from 4766 submissions. These papers address the latest research and development efforts and highlight the human aspects of design and use of computing systems. The papers thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The total of 82 contributions included in the VAMR proceedings were carefully reviewed and selected for inclusion in this two-volume set. The 39 papers included in this volume are organized in the following topical sections: interaction devices, displays and techniques in VAMR; designing virtual and augmented environments; avatars and virtual characters; developing virtual and augmented environments.




Human-robot Interaction


Book Description

Presents a unified treatment of HRI-related issues, identifies key themes, and discusses challenge problems that are likely to shape the field in the near future. The survey includes research results from a cross section of the universities, government efforts, industry labs, and countries that contribute to HRI.




Advanced Driver Intention Inference


Book Description

Advanced Driver Intention Inference: Theory and Design describes one of the most important function for future ADAS, namely, the driver intention inference. The book contains the state-of-art knowledge on the construction of driver intention inference system, providing a better understanding on how the human driver intention mechanism will contribute to a more naturalistic on-board decision system for automated vehicles. - Features examples of using machine learning/deep learning to build industry products - Depicts future trends for driver behavior detection and driver intention inference - Discuss traffic context perception techniques that predict driver intentions such as Lidar and GPS




Plans and Situated Actions


Book Description

A compelling case for the re-examination of interface design models is presented by this text's assertion that human behavior is not taken into account in the planning model generally favored by artificial intelligence.




Computational Human-Robot Interaction


Book Description

Computational Human-Robot Interaction provides the reader with a systematic overview of the field of Human-Robot Interaction over the past decade, with a focus on the computational frameworks, algorithms, techniques, and models currently used to enable robots to interact with humans.




Advanced Man-Machine Interaction


Book Description

Describes the implementation of modern features of man-machine interfaces and offers design guidelines, case studies and discusses algorithms for the implementation. Offers access to extensive public domain software for computer vision, classification and virtual reality.




Decoding Artificial Intelligence


Book Description

Decoding Artificial Intelligence stands as a testament to the profound expertise and passion of its author, Pabitra Banerjee. In this illuminating journey through the realms of technology, Pabitra, a distinguished Full-Stack AI Engineer and visionary tech enthusiast, extends an invitation to readers to unravel the intricacies of artificial intelligence. This comprehensive guide transcends the ordinary, providing a nuanced understanding of AI's evolution, from its historical roots to the cutting-edge advancements in deep learning and machine learning. Pabitra's expertise shines through as he meticulously guides readers through the development of AI models, algorithm selection, and the critical evaluation processes that define the landscape of artificial intelligence. More than just a technical manual, Decoding Artificial Intelligence delves into the ethical considerations of AI, emphasizing the responsible application of these technologies for the betterment of society. Pabitra skillfully weaves real-world applications, case studies, and future trends into the narrative, making this book an invaluable companion for both novices and seasoned professionals on the AI journey. As you turn the pages, you'll not only gain a profound understanding of the intricate workings of AI but also embark on a thought-provoking exploration of its societal impact. Decoding Artificial Intelligence is not just a book; it's a guided tour through the fascinating world of AI, where Pabitra Banerjee serves as your trusted navigator, leading you through the complexities and possibilities of artificial intelligence.