Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms (eBook)

Sandeep Kumar, Rohit Raja, Shrikant Tiwari, Shilpa Rani (Herausgeber)

eBook Download: PDF

2021
John Wiley & Sons (Verlag)
978-1-119-79209-3 (ISBN)

Infos

The book focuses on the way that human beings and computers interact to ever increasing levels of both complexity and simplicity. Assuming very little knowledge, the book provides content on theory, cognition, design, evaluation, and user diversity. It aims to explain the underlying causes of the cognitive, social and organizational problems typically are devoted to descriptions of rehabilitation methods for specific cognitive processes. This book describes new algorithms for modeling accessible to cognitive scientists of all varieties. The book is inherently interdisciplinary, publishing original research in the fields of computing, engineering, artificial intelligence, psychology, linguistics, and social and system organization, as applied to the design, implementation, application, analysis, and evaluation of interactive systems. Machine learning research has been being carried out for a decade at international level in various applications. The new learning approach is mostly used in machine learning based cognitive applications. This will give direction for future research to scientists and researchers working in neuroscience, neuro-imaging, machine learning based brain mapping and modeling etc.

Dr. Sandeep Kumar is presently working as a Professor in the Department of Electronics & Communication Engineering, Sreyas Institute of Engineering & Technology, Hyderabad, India. He has published 70 research papers in various International/National Journals. He has been awarded 'Best Paper Presentation' in Nepal & India respectively 2017 & 2018. He has been awarded for 'Best Performer Award' in Hyderabad, India, 2018. He has been awarded also 'Young Researcher Award' in Thailand, 2018. He has been awarded also 'Best Excellence Award' in Delhi, 2019.

Dr. Rohit Raja is working as Associate Professor in the IT Department at the Guru Ghasidas, Vishwavidyalaya, Bilaspur (Central University-CG). He has done a Ph.D. in Computer Science and Engineering in 2016 from C. V. Raman University India. He has filed successfully 10 (9 National + 1 International) patents and published more than 80 Research papers in various International/National Journals.

Dr. Shrikant Tiwari is currently an assistant professor in the Department of Computer Science & Engineering (CSE) at Shri Shankaracharya Technical Campus, Junwani, Bhilai, Distt. Chattisgarh (India). He received his Ph.D. in Department of Computer Science & Engineering (CSE) from the Indian Institute of Technology (Banaras Hindu University), Varanasi (India) in 2012.  

Prof. Shilpa Rani is an assistant professor in the Department of Computer Science & Engineering, Neil Gogte Institute of Technology, Hyderabad, India.

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COGNITIVE BEHAVIOR AND HUMAN COMPUTER INTERACTION BASED ON MACHINE LEARNING ALGORITHMS The objective of this book is to provide the most relevant information on Human-Computer Interaction to academics, researchers, and students and for those from industry who wish to know more about the real-time application of user interface design. Human-computer interaction (HCI) is the academic discipline, which most of us think of as UI design, that focuses on how human beings and computers interact at ever-increasing levels of both complexity and simplicity. Because of the importance of the subject, this book aims to provide more relevant information that will be useful to students, academics, and researchers in the industry who wish to know more about its real-time application. In addition to providing content on theory, cognition, design, evaluation, and user diversity, this book also explains the underlying causes of the cognitive, social and organizational problems typically devoted to descriptions of rehabilitation methods for specific cognitive processes. Also described are the new modeling algorithms accessible to cognitive scientists from a variety of different areas. This book is inherently interdisciplinary and contains original research in computing, engineering, artificial intelligence, psychology, linguistics, and social and system organization as applied to the design, implementation, application, analysis, and evaluation of interactive systems. Since machine learning research has already been carried out for a decade in various applications, the new learning approach is mainly used in machine learning-based cognitive applications. Since this will direct the future research of scientists and researchers working in neuroscience, neuroimaging, machine learning-based brain mapping, and modeling, etc., this book highlights the framework of a novel robust method for advanced cross-industry HCI technologies. These implementation strategies and future research directions will meet the design and application requirements of several modern and real-time applications for a long time to come. Audience: A wide range of researchers, industry practitioners, and students will be interested in this book including those in artificial intelligence, machine learning, cognition, computer programming and engineering, as well as social sciences such as psychology and linguistics.

Produkt-Details

• Erscheint lt. Verlag: 23.11.2021
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Schlagworte: Artificial Intelligence • cognitive science • Computer Science • Informatik • Kognitionswissenschaft • Künstliche Intelligenz • Psychologie • Psychology
• ISBN-10: 1-119-79209-6 / 1119792096
• ISBN-13: 978-1-119-79209-3 / 9781119792093