The Handbook of Human-Machine Interaction

The Handbook of Human-Machine Interaction

Author: Guy A. Boy

Publisher: CRC Press

Published: 2017-11-01

Total Pages: 384

ISBN-13: 1317029461

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The Handbook of Human-Machine Interaction features 20 original chapters and a conclusion focusing on human-machine interaction (HMI) from analysis, design and evaluation perspectives. It offers a comprehensive range of principles, methods, techniques and tools to provide the reader with a clear knowledge of the current academic and industry practice and debate that define the field. The text considers physical, cognitive, social and emotional aspects and is illustrated by key application domains such as aerospace, automotive, medicine and defence. Above all, this volume is designed as a research guide that will both inform readers on the basics of human-machine interaction from academic and industrial perspectives and also provide a view ahead at the means through which human-centered designers, including engineers and human factors specialists, will attempt to design and develop human-machine systems.


Computers in the Human Interaction Loop

Computers in the Human Interaction Loop

Author: Alexander Waibel

Publisher: Springer Science & Business Media

Published: 2009-04-05

Total Pages: 379

ISBN-13: 1848820542

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This book integrates a wide range of research topics related to and necessary for the development of proactive, smart, computers in the human interaction loop, including the development of audio-visual perceptual components for such environments; the design, implementation and analysis of novel proactive perceptive services supporting humans; the development of software architectures, ontologies and tools necessary for building such environments and services, as well as approaches for the evaluation of such technologies and services. The book is based on a major European Integrated Project, CHLI (Computers in the Human Interaction Loop), and throws light on the paradigm shift in the area of HCI that rather than humans interactive directly with machines, computers should observe and understand human interaction, and support humans during their work and interaction in an implicit and proactive manner.


Human-machine Communication

Human-machine Communication

Author: Andrea L. Guzman

Publisher: Digital Formations

Published: 2018

Total Pages: 0

ISBN-13: 9781433142505

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This book serves as an introduction to HMC as a specific area of study within communication and to the research possibilities of HMC. The research presented here focuses on people's interactions with multiple technologies used within different contexts from a variety of epistemological and methodological approaches.


Human + Machine

Human + Machine

Author: Paul R. Daugherty

Publisher: Harvard Business Press

Published: 2018-03-20

Total Pages: 268

ISBN-13: 1633693872

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AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. BOOK PROCEEDS FOR THE AI GENERATION The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence.


Artificial Intelligence

Artificial Intelligence

Author: Tonya Randolph

Publisher: Nova Snova

Published: 2021-11-11

Total Pages: 0

ISBN-13: 9781685073138

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Today, many Americans are concerned about the impact that artificial intelligence and machine learning will have on jobs. This book examines the impact of these factors on the workforce, including issues related to worker displacement, retraining of the current workforce, and developing a skilled technical workforce of the future that can thrive in an economy in which AI increasingly plays a role.


Brain-Computer Interfaces

Brain-Computer Interfaces

Author: Desney S. Tan

Publisher: Springer Science & Business Media

Published: 2010-06-10

Total Pages: 286

ISBN-13: 1849962723

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For generations, humans have fantasized about the ability to create devices that can see into a person’s mind and thoughts, or to communicate and interact with machines through thought alone. Such ideas have long captured the imagination of humankind in the form of ancient myths and modern science fiction stories. Recent advances in cognitive neuroscience and brain imaging technologies have started to turn these myths into a reality, and are providing us with the ability to interface directly with the human brain. This ability is made possible through the use of sensors that monitor physical processes within the brain which correspond with certain forms of thought. Brain-Computer Interfaces: Applying our Minds to Human-Computer Interaction broadly surveys research in the Brain-Computer Interface domain. More specifically, each chapter articulates some of the challenges and opportunities for using brain sensing in Human-Computer Interaction work, as well as applying Human-Computer Interaction solutions to brain sensing work. For researchers with little or no expertise in neuroscience or brain sensing, the book provides background information to equip them to not only appreciate the state-of-the-art, but also ideally to engage in novel research. For expert Brain-Computer Interface researchers, the book introduces ideas that can help in the quest to interpret intentional brain control and develop the ultimate input device. It challenges researchers to further explore passive brain sensing to evaluate interfaces and feed into adaptive computing systems. Most importantly, the book will connect multiple communities allowing research to leverage their work and expertise and blaze into the future.


Touch-Based Human-Machine Interaction

Touch-Based Human-Machine Interaction

Author: Shuo Gao

Publisher: Springer Nature

Published: 2021-03-25

Total Pages: 244

ISBN-13: 3030689484

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This textbook presents a comprehensive treatment of touch technologies, explaining current mainstream and new contact/non-contact based human-machine interactivity (HMI) techniques, which are ubiquitous in modern electronic devices and allow machines to exchange information with users in an efficient and reliable manner. The book provides a detailed study of HMI working principles and practical product examples. Haptic, which has become essential for users to gain immersive experience, is also discussed. The book concludes with an overview of novel applications enabled by emerging technologies, such as advanced materials, virtual reality and machine learning, providing a roadmap for possible development trends for touch interactivities. The book can be used as a graduate text for students in display and touch interface technology courses in electrical and computer engineering, and a professional reference for researchers, practicing engineers, and product designers working in broad areas of engineering. Helps students understand the working principles of current touch technologies; Offers design considerations for prototypes and products; Provides seamless connectivity between broad subject areas involved in HMI, including material science, microelectronic circuits, mechanical engineering, and digital signal processing.


Data Mining and Machine Learning Applications

Data Mining and Machine Learning Applications

Author: Rohit Raja

Publisher: John Wiley & Sons

Published: 2022-03-02

Total Pages: 500

ISBN-13: 1119791782

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DATA MINING AND MACHINE LEARNING APPLICATIONS The book elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding among research in different disciplines, thus facilitating research development and collaboration. Data, the latest currency of today’s world, is the new gold. In this new form of gold, the most beautiful jewels are data analytics and machine learning. Data mining and machine learning are considered interdisciplinary fields. Data mining is a subset of data analytics and machine learning involves the use of algorithms that automatically improve through experience based on data. Massive datasets can be classified and clustered to obtain accurate results. The most common technologies used include classification and clustering methods. Accuracy and error rates are calculated for regression and classification and clustering to find actual results through algorithms like support vector machines and neural networks with forward and backward propagation. Applications include fraud detection, image processing, medical diagnosis, weather prediction, e-commerce and so forth. The book features: A review of the state-of-the-art in data mining and machine learning, A review and description of the learning methods in human-computer interaction, Implementation strategies and future research directions used to meet the design and application requirements of several modern and real-time applications for a long time, The scope and implementation of a majority of data mining and machine learning strategies. A discussion of real-time problems. Audience Industry and academic researchers, scientists, and engineers in information technology, data science and machine and deep learning, as well as artificial intelligence more broadly.