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CSCW and Artificial Intelligence

CSCW and Artificial Intelligence PDF Author: John H. Connolly
Publisher: Springer Science & Business Media
ISBN: 1447120353
Category : Computers
Languages : en
Pages : 202

Book Description
Computing, despite the relative brevity of its history, has already evolved into a subject in which a fairly large number of subdisciplines can be identified. Moreover, there has been a noticeable tendency for the different branches of the subject each to develop its own intellectual culture, tradition and momentum. This is not, of course, to suggest that any individ ual subdiscipline has become a watertight compartment or that developments in one branch of the subject have tended to take place in total isolation from developments in other related areas. Nevertheless, it does mean that a deliberate effort is required in order to bring different subdisciplines together in a fruitful and beneficial manner. Artificial Intelligence (AI) and Computer Supported Coopera tive Work (CSCW) jointly constitute a good example of two branches of computing that have emerged separately and given rise to largely distinct research communities and initiatives. On the one hand, the history of AI can be traced back to the 1950s, the term II Artificial Intelligence" being generally attributed to John McCarthy, who first used it in print in 1956. "Computer Supported Cooperative Work", on the other hand, is a term of more recent coinage, having'been devised by Irene Greif and Paul Cashman in 1984.

CSCW and Artificial Intelligence

CSCW and Artificial Intelligence PDF Author: John H. Connolly
Publisher: Springer Science & Business Media
ISBN: 1447120353
Category : Computers
Languages : en
Pages : 202

Book Description
Computing, despite the relative brevity of its history, has already evolved into a subject in which a fairly large number of subdisciplines can be identified. Moreover, there has been a noticeable tendency for the different branches of the subject each to develop its own intellectual culture, tradition and momentum. This is not, of course, to suggest that any individ ual subdiscipline has become a watertight compartment or that developments in one branch of the subject have tended to take place in total isolation from developments in other related areas. Nevertheless, it does mean that a deliberate effort is required in order to bring different subdisciplines together in a fruitful and beneficial manner. Artificial Intelligence (AI) and Computer Supported Coopera tive Work (CSCW) jointly constitute a good example of two branches of computing that have emerged separately and given rise to largely distinct research communities and initiatives. On the one hand, the history of AI can be traced back to the 1950s, the term II Artificial Intelligence" being generally attributed to John McCarthy, who first used it in print in 1956. "Computer Supported Cooperative Work", on the other hand, is a term of more recent coinage, having'been devised by Irene Greif and Paul Cashman in 1984.

CSCW与人工智能

CSCW与人工智能 PDF Author: John H. Connolly
Publisher:
ISBN: 9787506239264
Category : Artificial intelligence
Languages : en
Pages : 192

Book Description


CSCW and Artificial Intelligence

CSCW and Artificial Intelligence PDF Author: John H. Connolly
Publisher:
ISBN:
Category :
Languages : en
Pages : 192

Book Description


Computer Science and Artificial Intelligence

Computer Science and Artificial Intelligence PDF Author: National Research Council
Publisher: National Academies Press
ISBN: 0309058317
Category : Computers
Languages : en
Pages : 29

Book Description
The focus of this report is on artificial intelligence (AI) and human-computer interface (HCI) technology. Observations, conclusions, and recommendations regarding AI and HCI are presented in terms of six grand challenge areas which serve to identify key scientific and engineering issues and opportunities. Chapter 1 presents the panel's definitions of these and related terms. Chapter 2 presents the panel's general observations and recommendations regarding AI and HCI. Finally, Chapter 3 discusses computer science, AI, and HCI in terms of the six selected "grand challenge" areas and three time horizons, that is, short term (within the next 2 years), midterm (2 to 6 years), and long term (more than 6 years from now) and presents additional recommendations in these areas.

Artificial Intelligence for Human Computer Interaction: A Modern Approach

Artificial Intelligence for Human Computer Interaction: A Modern Approach PDF Author: Yang Li
Publisher: Springer Nature
ISBN: 3030826813
Category : Computers
Languages : en
Pages : 602

Book Description
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.

Implications of Artificial Intelligence for Cybersecurity

Implications of Artificial Intelligence for Cybersecurity PDF Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309494508
Category : Computers
Languages : en
Pages : 99

Book Description
In recent years, interest and progress in the area of artificial intelligence (AI) and machine learning (ML) have boomed, with new applications vigorously pursued across many sectors. At the same time, the computing and communications technologies on which we have come to rely present serious security concerns: cyberattacks have escalated in number, frequency, and impact, drawing increased attention to the vulnerabilities of cyber systems and the need to increase their security. In the face of this changing landscape, there is significant concern and interest among policymakers, security practitioners, technologists, researchers, and the public about the potential implications of AI and ML for cybersecurity. The National Academies of Sciences, Engineering, and Medicine convened a workshop on March 12-13, 2019 to discuss and explore these concerns. This publication summarizes the presentations and discussions from the workshop.

Artificial Intelligence Perspectives in Intelligent Systems

Artificial Intelligence Perspectives in Intelligent Systems PDF Author: Radek Silhavy
Publisher: Springer
ISBN: 3319336258
Category : Technology & Engineering
Languages : en
Pages : 536

Book Description
This volume is based on the research papers presented in the 5th Computer Science On-line Conference. The volume Artificial Intelligence Perspectives in Intelligent Systems presents modern trends and methods to real-world problems, and in particular, exploratory research that describes novel approaches in the field of artificial intelligence. New algorithms in a variety of fields are also presented. The Computer Science On-line Conference (CSOC 2016) is intended to provide an international forum for discussions on the latest research results in all areas related to Computer Science. The addressed topics are the theoretical aspects and applications of Computer Science, Artificial Intelligences, Cybernetics, Automation Control Theory and Software Engineering.

Innovations in Artificial Intelligence and Human-Computer Interaction in the Digital Era

Innovations in Artificial Intelligence and Human-Computer Interaction in the Digital Era PDF Author: Surbhi Bhatia Khan
Publisher: Elsevier
ISBN: 0323999492
Category : Computers
Languages : en
Pages : 342

Book Description
Innovations in Artificial Intelligence and Human Computer Interaction in the Digital Era investigates the interaction and growing interdependency of the HCI and AI fields, which are not usually addressed in traditional approaches. Chapters explore how well AI can interact with users based on linguistics and user-centered design processes, especially with the advances of AI and the hype around many applications. Other sections investigate how HCI and AI can mutually benefit from a closer association and the how the AI community can improve their usage of HCI methods like “Wizard of Oz prototyping and “Thinking aloud protocols. Moreover, HCI can further augment human capabilities using new technologies. This book demonstrates how an interdisciplinary team of HCI and AI researchers can develop extraordinary applications, such as improved education systems, smart homes, smart healthcare and map Human Computer Interaction (HCI) for a multidisciplinary field that focuses on the design of computer technology and the interaction between users and computers in different domains. Presents fundamental concepts of both HCI and AI, addressing a multidisciplinary audience of researchers and engineers working on User Centered Design (UCD), User Interface (UI) design, and User Experience (UX) design Explores a broad range of case studies from across healthcare, industry, and education Investigates multiple strategies for designing and developing intelligent user interfaces to solve real-world problems Outlines research challenges and future directions for the intersection of AI and HCI

Smart and Intelligent Systems

Smart and Intelligent Systems PDF Author: Abbas Moallem
Publisher: CRC Press
ISBN: 1000455645
Category : Computers
Languages : en
Pages : 231

Book Description
"The more we know about smart and intelligent systems and their use, the more productive organizations can become, and the more quality of life will improve."—Gavriel Salvendy, President Academy of Science, Engineering and Medicine of Florida, University Distinguished Professor University of Central Florida" "Robots, drones, self-driving cars, and personal assistants are only some of the ‘intelligent’ and ‘smart’ systems which are populating our world and changing the way we use technology to carry out our everyday activities, bringing about both exciting opportunities for human-technology symbiosis, as well as compelling design and development challenges. Through a carefully selected choice of chapters, authored by top scientists in the field, this book, edited by Abbas Moallem, sheds light on fundamental aspects of intelligent and smart systems, investigating the role and impact of affective and psychophysiological computing, machine learning, cybersecurity, agent transparency, and human-agent teaming in the shaping of this new interaction paradigm, as well as the human factors involved in their application in critical domains such as health, education, and manufacturing in the emerging technological landscape."—Constantine Stephanidis, Professor of Computer Science, University of Crete, Distinguished member of Foundation for Research and Technology - Hellas (FORTH) In today’s digital world, the words "smart" and intelligent" are now used to label devices, machinery, systems, and even environments. What is a "smart" system? Is "smart" synonymous with "intelligent"? If not, what does an "intelligent system" mean? Are all smart systems intelligent? This book tries to answer these questions by summarizing the existing research in various areas and providing new research findings. Smart and Intelligent Systems: The Human Elements in Artificial Intelligence, Robotics, and Cybersecurity presents new areas of smart and intelligent system design. It defines smart and intelligent systems, offers a human factors approach, discusses networking applications, and combines the human element with smart and intelligent systems. This book is perfect for engineering students in data sciences and artificial intelligence and practitioners at all levels in the fields of human factors and ergonomics, systems engineering, computer science, software engineering, and robotics.

Machine Learning for Computer Scientists and Data Analysts

Machine Learning for Computer Scientists and Data Analysts PDF Author: Setareh Rafatirad
Publisher: Springer Nature
ISBN: 3030967565
Category : Technology & Engineering
Languages : en
Pages : 465

Book Description
This textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics, through complex neural networks, including generative adversarial neural networks and graph convolution networks. Most importantly, this book helps readers to understand the concepts of ML algorithms and enables them to develop the skills necessary to choose an apt ML algorithm for a problem they wish to solve. In addition, this book includes numerous case studies, ranging from simple time-series forecasting to object recognition and recommender systems using massive databases. Lastly, this book also provides practical implementation examples and assignments for the readers to practice and improve their programming capabilities for the ML applications.