Cognitive Behavior And Human Computer Interaction Based On Machine Learning Algorithm

Author : Sandeep Kumar,Rohit Raja,Shrikant Tiwari,Shilpa Rani
Publisher : John Wiley & Sons
Page : 404 pages
File Size : 40,8 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 : 42,8 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 : 55,6 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 : Jianlong Zhou,Fang Chen
Publisher : Springer
Page : 482 pages
File Size : 55,7 Mb
Release : 2018-06-07
Category : Computers
ISBN : 9783319904030

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Human and Machine Learning by Jianlong Zhou,Fang Chen Pdf

With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of “black-box” in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications. This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making. This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.

Author : Dylan D. Schmorrow,Cali M. Fidopiastis
Publisher : Springer
Page : 586 pages
File Size : 49,7 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 : 40,7 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 : Mamta Mittal,Rajiv Ratn Shah,Sudipta Roy
Publisher : Academic Press
Page : 420 pages
File Size : 41,6 Mb
Release : 2021-08-13
Category : Computers
ISBN : 9780323856478

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Cognitive Computing for Human-Robot Interaction by Mamta Mittal,Rajiv Ratn Shah,Sudipta Roy Pdf

Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications. This book discusses each of these applications, presents working implementations, and combines coherent and original deliberative architecture for human–robot interactions (HRI). Supported by experimental results, it shows how explicit knowledge management promises to be instrumental in building richer and more natural HRI, by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications. This book will be of special interest to academics, postgraduate students, and researchers working in the area of artificial intelligence and machine learning. Key features: Introduces several new contributions to the representation and management of humans in autonomous robotic systems; Explores the potential of cognitive computing, robots, and HRI to generate a deeper understanding and to provide a better contribution from robots to society; Engages with the potential repercussions of cognitive computing and HRI in the real world. Introduces several new contributions to the representation and management of humans in an autonomous robotic system Explores cognitive computing, robots and HRI, presenting a more in-depth understanding to make robots better for society Gives a challenging approach to those several repercussions of cognitive computing and HRI in the actual global scenario

Author : Makarand R. Velankar
Publisher : Springer Nature
Page : 98 pages
File Size : 51,6 Mb
Release : 2024-06-27
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 : 47,6 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 : Sandeep Kumar,Nageswara Rao Moparthi,Abhishek Bhola,Ravinder Kaur,A. Senthil,K.M.V.V. Prasad
Publisher : John Wiley & Sons
Page : 436 pages
File Size : 41,5 Mb
Release : 2024-03-06
Category : Computers
ISBN : 9781394174690

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Advances in Aerial Sensing and Imaging by Sandeep Kumar,Nageswara Rao Moparthi,Abhishek Bhola,Ravinder Kaur,A. Senthil,K.M.V.V. Prasad Pdf

Advances in Aerial Sensing and Imaging This groundbreaking book is a comprehensive guide to the technology found in the complex field of aerial sensing and imaging, and the real-world challenges that stem from its growing significance and demand. The advent of unmanned aerial vehicles (UAVs), or drones, along with advancements in sensor technology and image processing techniques, has further enhanced the capabilities and applications of aerial sensing and imaging. These developments have opened up new research, innovation, and exploration avenues. Aerial sensing and imaging have rapidly evolved over the past few decades and have revolutionized several fields, including land cover and usage prediction, crop and livestock management, road accident monitoring, poverty estimation, defense, agriculture, forest fire detection, UAV security issues, and open parking management. This book provides a comprehensive understanding and knowledge of the underlying technology and its practical applications in different domains. Audience Computer science and artificial intelligence researchers working in the fields of aerial sensing and imaging, as well as professionals working in industries such as agriculture, geology, surveying, urban planning, disaster response, etc; this book provides them with practical guidance and instruction on how to apply aerial sensing and imaging for various purposes and stay up-to-date with the latest developments in the domain.

Author : Narendra Khatri,Ajay Kumar Vyas,Celestine Iwendi,Prasenjit Chatterjee
Publisher : CRC Press
Page : 506 pages
File Size : 49,9 Mb
Release : 2024-02-13
Category : Technology & Engineering
ISBN : 9781000955538

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Precision Agriculture for Sustainability by Narendra Khatri,Ajay Kumar Vyas,Celestine Iwendi,Prasenjit Chatterjee Pdf

This new book delves into how modern technologies—i.e., global positioning systems (GPS), unmanned aerial vehicles (drones), image processing methods, artificial intelligence, machine learning, and deep learning—are being used to make agriculture more farmer-friendly and more economically profitable. The volume focuses on the use of smart sensors, actuators, and decision support systems to provide intelligent data about crop health and for monitoring for yield prediction, soil quality, nutrition requirement prediction, etc. The authors discuss robotic-based innovations in agriculture, soft computing methodologies for crop forecasting, machine learning techniques to classify and identify plant diseases, deep convolutional neural networks for recognizing nutrient deficiencies, and more.

Author : Rohit Raja,Amit Kumar Dewangan
Publisher : BoD – Books on Demand
Page : 280 pages
File Size : 50,7 Mb
Release : 2024-04-10
Category : Computers
ISBN : 9780854661497

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Online Identity - An Essential Guide by Rohit Raja,Amit Kumar Dewangan Pdf

In today's digital age, having a strong online identity has become more important than ever. This book aims to explore the many facets of this topic, from the importance of building a positive digital presence to managing one's online reputation and privacy. We want to cover different aspects of online identity. This book will focus on the importance of online identity and how it can affect our personal and professional lives. We also want to provide strategies for building a strong and authentic online identity, including tips on how to curate social media profiles and manage privacy settings. The book will also delve into the concept of digital footprints and the implications of our online actions, explore online reputation management and how to maintain a positive online image, and analyze the impact of online identity on mental health, including the effects of cyberbullying and social comparison. Finally, the book will look into the future of online identity, exploring emerging technologies such as blockchain-based identity solutions and virtual reality environments. With practical tips and insightful analysis, this book hopes to become an essential guide for anyone looking to navigate the complexities of online identity in the digital age.

Author : A. Pasumpon Pandian,Robert Bestak,Klimis S. Ntalianis,Ram Palanisamy
Publisher : Springer
Page : 0 pages
File Size : 54,5 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 : Dylan D. Schmorrow,Cali M. Fidopiastis
Publisher : Springer
Page : 459 pages
File Size : 49,5 Mb
Release : 2018-07-10
Category : Computers
ISBN : 9783319914701

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Augmented Cognition: Intelligent Technologies by Dylan D. Schmorrow,Cali M. Fidopiastis Pdf

This two-volume set LNCS 10915 and 10916 constitutes the refereed proceedings of the 12h International Conference on Augmented Cognition, AC 2018, held as part of the 20th International Conference on Human-Computer Interaction, HCII 2018, in Las Vegas, NV, USA in July 2018. The 1171 papers presented at HCII 2018 conferences were carefully reviewed and selected from 4346 submissions. The papers cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of applications areas. The papers in this volume are organized in the following topical sections: context aware adaption strategies in augmented cognition, brain sensors and measures for operational environments, artificial intelligence and machine learning in augmented cognition, augmented cognition in virtual and mixed reality.

Author : Yang Li,Otmar Hilliges
Publisher : Springer Nature
Page : 602 pages
File Size : 53,8 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.