Cognitive Behavior And Human Computer Interaction Based On Machine Learning Algorithms

Author : Sandeep Kumar,Rohit Raja,Shrikant Tiwari,Shilpa Rani
Publisher : John Wiley & Sons
Page : 404 pages
File Size : 45,9 Mb
Release : 2021-12-21
Category : Computers
ISBN : 9781119791607

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Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms by Sandeep Kumar,Rohit Raja,Shrikant Tiwari,Shilpa Rani Pdf

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.

Author : Sandeep Kumar (Professor of computer science and engineering),Rohit Raja,Shrikant Tiwari,Shilpa Rani
Publisher : Unknown
Page : 0 pages
File Size : 54,7 Mb
Release : 2022
Category : Human-computer interaction
ISBN : OCLC:1296692233

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Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithm by Sandeep Kumar (Professor of computer science and engineering),Rohit Raja,Shrikant Tiwari,Shilpa Rani Pdf

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.

Author : Sandeep Kumar,Rohit Raja,Shrikant Tiwari,Shilpa Rani
Publisher : John Wiley & Sons
Page : 400 pages
File Size : 45,9 Mb
Release : 2021-11-23
Category : Computers
ISBN : 9781119792086

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Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms by Sandeep Kumar,Rohit Raja,Shrikant Tiwari,Shilpa Rani Pdf

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.

Author : Dylan D. Schmorrow,Cali M. Fidopiastis
Publisher : Springer
Page : 586 pages
File Size : 49,8 Mb
Release : 2017-06-28
Category : Computers
ISBN : 9783319586281

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Augmented Cognition. Neurocognition and Machine Learning by Dylan D. Schmorrow,Cali M. Fidopiastis Pdf

This volume constitutes the proceedings of the 11th International Conference on Augmented Cognition, AC 2017, held as part of the International Conference on Human-Computer Interaction, HCII 2017, which took place in Vancouver, BC, Canada, in July 2017. HCII 2017 received a total of 4340 submissions, of which 1228 papers were accepted for publication after a careful reviewing process. 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 two volumes set of AC 2017 presents 81 papers which are organized in the following topical sections: electroencephalography and brain activity measurement, eye tracking in augmented cognition, physiological measuring and bio-sensing, machine learning in augmented cognition, cognitive load and performance, adaptive learning systems, brain-computer interfaces, human cognition and behavior in complex tasks and environments.

Author : Sandeep Kumar,Anuj Sharma,Navneet Kaur,Lokesh Pawar,Rohit Bajaj
Publisher : John Wiley & Sons
Page : 388 pages
File Size : 43,7 Mb
Release : 2024-03-06
Category : Computers
ISBN : 9781394174621

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Optimized Predictive Models in Health Care Using Machine Learning by Sandeep Kumar,Anuj Sharma,Navneet Kaur,Lokesh Pawar,Rohit Bajaj Pdf

OPTIMIZED PREDICTIVE MODELS IN HEALTH CARE USING MACHINE LEARNING This book is a comprehensive guide to developing and implementing optimized predictive models in healthcare using machine learning and is a required resource for researchers, healthcare professionals, and students who wish to know more about real-time applications. The book focuses on how humans and computers interact to ever-increasing levels of complexity and simplicity and provides content on the theory of optimized predictive model design, evaluation, and user diversity. Predictive modeling, a field of machine learning, has emerged as a powerful tool in healthcare for identifying high-risk patients, predicting disease progression, and optimizing treatment plans. By leveraging data from various sources, predictive models can help healthcare providers make informed decisions, resulting in better patient outcomes and reduced costs. Other essential features of the book include: provides detailed guidance on data collection and preprocessing, emphasizing the importance of collecting accurate and reliable data; explains how to transform raw data into meaningful features that can be used to improve the accuracy of predictive models; gives a detailed overview of machine learning algorithms for predictive modeling in healthcare, discussing the pros and cons of different algorithms and how to choose the best one for a specific application; emphasizes validating and evaluating predictive models; provides a comprehensive overview of validation and evaluation techniques and how to evaluate the performance of predictive models using a range of metrics; discusses the challenges and limitations of predictive modeling in healthcare; highlights the ethical and legal considerations that must be considered when developing predictive models and the potential biases that can arise in those models. Audience The book will be read by a wide range of professionals who are involved in healthcare, data science, and machine learning.

Author : Makarand R. Velankar
Publisher : Springer Nature
Page : 98 pages
File Size : 46,5 Mb
Release : 2024-06-04
Category : Electronic
ISBN : 9789819704521

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Cognitive Computing for Machine Thinking by Makarand R. Velankar Pdf

Author : Sakae Yamamoto
Publisher : Springer
Page : 636 pages
File Size : 54,5 Mb
Release : 2017-07-03
Category : Computers
ISBN : 9783319585246

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Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration by Sakae Yamamoto Pdf

The two-volume set LNCS 10273 and 10274 constitutes the refereed proceedings of the thematic track on Human Interface and the Management of Information, held as part of the 19th HCI International 2017, in Vancouver, BC, Canada, in July 2017. HCII 2017 received a total of 4340 submissions, of which 1228 papers were accepted for publication after a careful reviewing process. The 102 papers presented in these volumes were organized in topical sections as follows: Part I: Visualization Methods and Tools; Information and Interaction Design; Knowledge and Service Management; Multimodal and Embodied Interaction. Part II: Information and Learning; Information in Virtual and Augmented Reality; Recommender and Decision Support Systems; Intelligent Systems; Supporting Collaboration and User Communities; Case Studies.

Author : Helmut Degen
Publisher : Springer Nature
Page : 480 pages
File Size : 43,5 Mb
Release : 2024-06-04
Category : Electronic
ISBN : 9783031606113

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Artificial Intelligence in HCI by Helmut Degen Pdf

Author : A. Pasumpon Pandian,Robert Bestak,Klimis S. Ntalianis,Ram Palanisamy
Publisher : Springer
Page : 0 pages
File Size : 46,5 Mb
Release : 2022-09-23
Category : Computers
ISBN : 3031039890

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Cognitive and Computational Paradigms for Future Social Networks by A. Pasumpon Pandian,Robert Bestak,Klimis S. Ntalianis,Ram Palanisamy Pdf

This book gathers novel research works that simulate human intelligence in cognitive and non-cognitive tasks like learning, problem-solving, and adaptation. Its focus is on the use of cognitive computational paradigms like neural networks, fuzzy systems, machine learning, cognition, deep learning, and hybrid parameters like neuro-fuzzy computing systems to address and overcome real-world complexities. The respective chapters highlight recent research advances and promising results obtained in the area of social networks by leveraging novel recommender systems, optimized resources, sustainable networking practices and autonomous decision-making models, and by developing new opportunities to enhance worldwide user interaction. In addition, the contributing authors have dedicated significant research attention to analyzing Big Data on social interactions. In addition, the book has a special focus on state-of-the-art applications that take human-computer interaction and social behavior into consideration. Given its scope, the book will be of interest and appeal to: · Information and Communication Technologies [ICT] researchers · Artificial Intelligence [AI] research communities · Social Network analysis and online communities · Community networking and control researchers · Researchers and practitioners whose work focuses on various aspects of cognitive computing, deep learning, expert systems, etc.

Author : Michael Filimowicz,Veronika Tzankova
Publisher : Springer
Page : 284 pages
File Size : 40,8 Mb
Release : 2018-07-02
Category : Computers
ISBN : 9783319733562

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New Directions in Third Wave Human-Computer Interaction: Volume 1 - Technologies by Michael Filimowicz,Veronika Tzankova Pdf

As the first extensive exploration of contemporary third wave HCI, this handbook covers key developments at the leading edge of human-computer interactions. Now in its second decade as a major current of HCI research, the third wave integrates insights from the humanities and social sciences to emphasize human dimensions beyond workplace efficiency or cognitive capacities. The earliest HCI work was strongly based on the concept of human-machine coupling, which expanded to workplace collaboration as computers came into mainstream professional use. Today HCI can connect to almost any human experience because there are new applications for every aspect of daily life. Volume 1 - Technologies covers technical application areas related to artificial intelligence, metacreation, machine learning, perceptual computing, 3D printing, critical making, physical computing, the internet of things, accessibility, sonification, natural language processing, multimodal display, and virtual reality.

Author : Amit Konar
Publisher : CRC Press
Page : 834 pages
File Size : 48,6 Mb
Release : 2018-10-08
Category : Computers
ISBN : 1420049135

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Artificial Intelligence and Soft Computing by Amit Konar Pdf

With all the material available in the field of artificial intelligence (AI) and soft computing-texts, monographs, and journal articles-there remains a serious gap in the literature. Until now, there has been no comprehensive resource accessible to a broad audience yet containing a depth and breadth of information that enables the reader to fully understand and readily apply AI and soft computing concepts. Artificial Intelligence and Soft Computing fills this gap. It presents both the traditional and the modern aspects of AI and soft computing in a clear, insightful, and highly comprehensive style. It provides an in-depth analysis of mathematical models and algorithms and demonstrates their applications in real world problems. Beginning with the behavioral perspective of "human cognition," the text covers the tools and techniques required for its intelligent realization on machines. The author addresses the classical aspects-search, symbolic logic, planning, and machine learning-in detail and includes the latest research in these areas. He introduces the modern aspects of soft computing from first principles and discusses them in a manner that enables a beginner to grasp the subject. He also covers a number of other leading aspects of AI research, including nonmonotonic and spatio-temporal reasoning, knowledge acquisition, and much more. Artificial Intelligence and Soft Computing: Behavioral and Cognitive Modeling of the Human Brain is unique for its diverse content, clear presentation, and overall completeness. It provides a practical, detailed introduction that will prove valuable to computer science practitioners and students as well as to researchers migrating to the subject from other disciplines.

Author : Yang Li,Otmar Hilliges
Publisher : Springer Nature
Page : 602 pages
File Size : 53,6 Mb
Release : 2021-11-04
Category : Computers
ISBN : 9783030826819

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Artificial Intelligence for Human Computer Interaction: A Modern Approach by Yang Li,Otmar Hilliges Pdf

This edited book explores the many interesting questions that lie at the intersection between AI and HCI. It covers a comprehensive set of perspectives, methods and projects that present the challenges and opportunities that modern AI methods bring to HCI researchers and practitioners. The chapters take a clear departure from traditional HCI methods and leverage data-driven and deep learning methods to tackle HCI problems that were previously challenging or impossible to address. It starts with addressing classic HCI topics, including human behaviour modeling and input, and then dedicates a section to data and tools, two technical pillars of modern AI methods. These chapters exemplify how state-of-the-art deep learning methods infuse new directions and allow researchers to tackle long standing and newly emerging HCI problems alike. Artificial Intelligence for Human Computer Interaction: A Modern Approach concludes with a section on Specific Domains which covers a set of emerging HCI areas where modern AI methods start to show real impact, such as personalized medical, design, and UI automation.

Author : Tareq Ahram,Redha Taiar,Fabienne Groff
Publisher : Springer Nature
Page : 709 pages
File Size : 45,6 Mb
Release : 2021-04-15
Category : Technology & Engineering
ISBN : 9783030740092

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Human Interaction, Emerging Technologies and Future Applications IV by Tareq Ahram,Redha Taiar,Fabienne Groff Pdf

This book reports on research and developments in human-technology interaction. A special emphasis is given to human-computer interaction, and its implementation for a wide range of purposes such as healthcare, manufacturing, transportation, and education, among others. The human aspects are analyzed in detail. Innovative studies related to human-centered design, wearable technologies, augmented, virtual and mixed reality simulation, as well as developments and applications of machine learning and AI for different purposes, represent the core of the book. Emerging issues in business, security, and infrastructure are also critically examined, thus offering a timely, scientifically-grounded, but also professionally-oriented snapshot of the current state of the field. The book is based on contributions presented at the 4th International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET-AI 2021, held on April 28-30, 2021, in Strasbourg, France. It offers a timely survey and a practice-oriented reference guide to researchers and professionals dealing with design and/or management of the new generation of service systems.

Author : Andreas Holzinger,Gabriella Pasi
Publisher : Springer
Page : 442 pages
File Size : 40,5 Mb
Release : 2013-06-26
Category : Computers
ISBN : 9783642391460

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Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data by Andreas Holzinger,Gabriella Pasi Pdf

This book constitutes the refereed proceedings of the Third Workshop on Human-Computer Interaction and Knowledge Discovery, HCI-KDD 2013, held in Maribor, Slovenia, in July 2013, at SouthCHI 2013. The 20 revised papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on human-computer interaction and knowledge discovery, knowledge discovery and smart homes, smart learning environments, and visualization data analytics.

Author : Dylan D. Schmorrow,Cali M. Fidopiastis
Publisher : Springer
Page : 540 pages
File Size : 49,7 Mb
Release : 2017-05-28
Category : Computers
ISBN : 3319586246

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Augmented Cognition. Enhancing Cognition and Behavior in Complex Human Environments by Dylan D. Schmorrow,Cali M. Fidopiastis Pdf

This volume constitutes the proceedings of the 11th International Conference on Augmented Cognition, AC 2017, held as part of the International Conference on Human-Computer Interaction, HCII 2017, which took place in Vancouver, BC, Canada, in July 2017. HCII 2017 received a total of 4340 submissions, of which 1228 papers were accepted for publication after a careful reviewing process. 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 two volumes set of AC 2017 presents 81 papers which are organized in the following topical sections: electroencephalography and brain activity measurement, eye tracking in augmented cognition, physiological measuring and bio-sensing, machine learning in augmented cognition, cognitive load and performance, adaptive learning systems, brain-computer interfaces, human cognition and behavior in complex tasks and environments.