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Intelligent Scene Modeling and Human-Computer Interaction

Author: Nadia Magnenat Thalmann

Publisher: Springer Nature

Published: 2021-06-08

Total Pages: 284

ISBN-13: 3030710025

This edited book is one of the first to describe how Autonomous Virtual Humans and Social Robots can interact with real people and be aware of the surrounding world using machine learning and AI. It includes: · Many algorithms related to the awareness of the surrounding world such as the recognition of objects, the interpretation of various sources of data provided by cameras, microphones, and wearable sensors · Deep Learning Methods to provide solutions to Visual Attention, Quality Perception, and Visual Material Recognition · How Face Recognition and Speech Synthesis will replace the traditional mouse and keyboard interfaces · Semantic modeling and rendering and shows how these domains play an important role in Virtual and Augmented Reality Applications. Intelligent Scene Modeling and Human-Computer Interaction explains how to understand the composition and build very complex scenes and emphasizes the semantic methods needed to have an intelligent interaction with them. It offers readers a unique opportunity to comprehend the rapid changes and continuous development in the fields of Intelligent Scene Modeling.

Real-Time Vision for Human-Computer Interaction

Author: Branislav Kisacanin

Publisher: Springer Science & Business Media

Published: 2005-08-23

Total Pages: 324

ISBN-13: 9780387276977

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The need for natural and effective Human-Computer Interaction (HCI) is increasingly important due to the prevalence of computers in human activities. Computer vision and pattern recognition continue to play a dominant role in the HCI realm. However, computer vision methods often fail to become pervasive in the field due to the lack of real-time, robust algorithms, and novel and convincing applications. This state-of-the-art contributed volume is comprised of articles by prominent experts in computer vision, pattern recognition and HCI. It is the first published text to capture the latest research in this rapidly advancing field with exclusive focus on real-time algorithms and practical applications in diverse and numerous industries, and it outlines further challenges in these areas. Real-Time Vision for Human-Computer Interaction is an invaluable reference for HCI researchers in both academia and industry, and a useful supplement for advanced-level courses in HCI and Computer Vision.

Artificial Intelligence for Human Computer Interaction: A Modern Approach

Author: Yang Li

Publisher: Springer Nature

Published: 2021-11-04

Total Pages: 602

ISBN-13: 3030826813

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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.

Intelligent Scene Modelling Information Systems

Author: Georgios Miaoulis

Publisher: Springer Science & Business Media

Published: 2009-03-06

Total Pages: 221

ISBN-13: 3540929010

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This book is dedicated to and contains the latest research in intelligent scene modelling information systems. Declarative scene modeling techniques are presented, as well as their implementation in an intelligent information system.

Modeling Users' Experiences with Interactive Systems

Author: Evangelos Karapanos

Publisher: Springer

Published: 2012-08-09

Total Pages: 169

ISBN-13: 3642310001

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Over the past decade the field of Human-Computer Interaction has evolved from the study of the usability of interactive products towards a more holistic understanding of how they may mediate desired human experiences. This book identifies the notion of diversity in usersʼ experiences with interactive products and proposes methods and tools for modeling this along two levels: (a) interpersonal diversity in usersʽ responses to early conceptual designs, and (b) the dynamics of usersʼ experiences over time. The Repertory Grid Technique is proposed as an alternative to standardized psychometric scales for modeling interpersonal diversity in usersʼ responses to early concepts in the design process, and new Multi-Dimensional Scaling procedures are introduced for modeling such complex quantitative data. iScale, a tool for the retrospective assessment of usersʼ experiences over time is proposed as an alternative to longitudinal field studies, and a semi-automated technique for the analysis of the elicited experience narratives is introduced. Through these two methodological contributions, this book argues against averaging in the subjective evaluation of interactive products. It proposes the development of interactive tools that can assist designers in moving across multiple levels of abstraction of empirical data, as design-relevant knowledge might be found on all these levels. Foreword by Jean-Bernard Martens and Closing Note by Marc Hassenzahl.

Social Robotics

Author: Haizhou Li

Publisher: Springer Nature

Published: 2021-11-01

Total Pages: 834

ISBN-13: 303090525X

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This book constitutes the refereed proceedings of the 13th International Conference on Social Robotics, ICSR 2021, held in Singapore, Singapore, in November 2021. The conference was held as a hybrid event. The 64 full papers and 15 short papers presented were carefully reviewed and selected from 114 submissions. The conference presents topics on humans and intelligent robots and on the integration of robots into the fabric of our society. The theme of the 2021 edition was “Robotics in our everyday lives”, emphasizing on the increasing importance of robotics in human daily living.

Mental Models and Human-Computer Interaction

Author: Martin G. Tauber

Publisher: Elsevier

Published: 2013-10-22

Total Pages: 423

ISBN-13: 1483291030

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Nowadays, mental models are seen as crucial in systems design. Research is driven by the assumption that a better insight into a user's cognitive processes when using a system will improve design methods and provide friendly and efficient interfaces. The papers in this volume explore three fundamental issues: understanding the complexity of the intended worksystem, describing it by models and finally building the required powerful and usable system. The papers are an edited selection of those presented at the 8th interdisciplinary workshop on Mental Models and HCI, held in Austria in June 1989. They concentrate primarily on design issues, their theoretical background and the application of the concept of Human-Computer Interaction (HCI). Nevertheless, there are also contributions on theoretical topics and methodological questions.

Cyber Security Intelligence and Analytics

Author: Zheng Xu

Publisher: Springer

Published: 2019-04-24

Total Pages: 1453

ISBN-13: 3030152359

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This book presents the outcomes of the 2019 International Conference on Cyber Security Intelligence and Analytics (CSIA2019), an international conference dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber security, particularly focusing on threat intelligence, analytics, and countering cyber crime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings, and novel techniques, methods and applications on all aspects of Cyber Security Intelligence and Analytics.

Human Work Interaction Design. Artificial Intelligence and Designing for a Positive Work Experience in a Low Desire Society

Author: Ganesh Bhutkar

Publisher: Springer Nature

Published: 2022-03-31

Total Pages: 225

ISBN-13: 3031029046

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This book constitutes the thoroughly refereed post-conference proceedings of the 6th IFIP WG 13.6 Working Conference on Human Work Interaction Design, HWID 2021, held in Beijing, China, in May, 2021. The 10 revised and extended full papers presented were carefully selected for inclusion in this volume. The papers deal with the analysis and interaction design of a variety of complex work and life contexts found in different business and application domains. They focus on interaction design for work engagement taking usability of interactive systems to the next level by providing employees pleasurable and meaningful experiences via the tools used at work. The papers are organized the following topical sub-headings: Trends in human Work Interaction Design; Workplace & work experience Analysis for Interaction Design; and Artificial Intelligence (AI) for Human Work.

Artificial Intelligence and Human-Computer Interaction

Author: Y. Ye

Publisher: IOS Press

Published: 2024-04-02

Total Pages: 398

ISBN-13: 1643685090

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There is no denying the increasing importance of AI and human-computer interaction for societies worldwide. The potential for good in these fields is undeniable, but the challenges which arise during research and in practice must be carefully managed if this potential for good is to be realized without harm. This book presents the proceedings of ArtInHCI2023, the 1st International Conference on Artificial Intelligence and Human-Computer Interaction, held as an online event from 27-28 October 2023, and attended by around 70 participants from around the world. The aim of the conference was to promote academic exchange within and across disciplines, addressing theoretical and practical challenges and advancing current understanding and application. A total of 72 submissions were received for the conference, of which 41 were selected for presentation and publication following a thorough peer review process, resulting in an acceptance rate of 57%. Topics covered included deep learning, artificial neural networks, computer vision and pattern recognition and papers were focused on the challenges of research as well as application. Providing a fascinating overview of developments and innovation in the field, the book will be of interest to all those working with AI or human-computer interaction.