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The pervasive influence of technology continuously shapes our daily lives. From smartphones to smart homes, technology is revolutionizing the way we live, work and interact with each other. Human-computer interaction (HCI) is a multidisciplinary research field focusing on the study of people interacting with information technology and plays a critical role in the development of computing systems that work well for the people using them, ensuring the seamless integration of interactive systems into our technologically driven lifestyles. The book series contains six volumes providing extensive coverage of the field, wherein each one addresses different theoretical and practical aspects of the HCI discipline. Readers will discover a wealth of information encompassing the foundational elements, state-of-the-art review in established and emerging domains, analysis of contemporary advancements brought about by the evolution of interactive technologies and artificial intelligence, as well as the emergence of diverse societal needs and application domains. These books: · Showcase the pivotal role of HCI in designing interactive applications across a diverse array of domains. · Explore the dynamic relationship between humans and intelligent environments, with a specific emphasis on the role of Artificial Intelligence (AI) and the Internet of Things (IoT). · Provide an extensive exploration of interaction design by examining a wide range of technologies, interaction techniques, styles and devices. · Discuss user experience methods and tools for the design of user-friendly products and services. · Bridge the gap between software engineering and human-computer interaction practices for usability, inclusion and sustainability. These volumes are an essential read for individuals interested in human-computer interaction research and applications.
This book covers user experience methods and tools in designing user‐friendly products and servicesby encompassing widely utilized successful methods, including elicitation, analysis and establishment of requirements, collaborative idea generation with design teams and intended users, prototype testing and evaluation of the user experience through empirical and non‐empirical means. This book • Provides methods and tools tailored for each stage of the design process. • Discusses methods for the active involvement of users in the human‐centered design process. • Equips readers with an effective toolset for use throughout the design process, ensuring that what is created aligns with user needs and desires. • Covers a wide array of research and evaluation methods employed in HCI, from the initiation of the human‐centered development cycle to its culmination. This book is a fascinating read for individuals interested in Human-Computer Interaction research and applications.
Hybrid Human-Machine Information Systems leverage novel architectures that make systematic use of Human Computation by means of crowdsourcing. These architectures are capable of scaling over large amounts of data and simultaneously maintain high-quality data processing levels by introducing humans into the loop. Such hybrid systems have been developed to tackle a variety of problems and come with inter-disciplinary challenges. They need to deal with the full spectrum of challenges from the social science standpoint, such as understanding crowd workers behavior and motivations when performing tasks. These systems also need to overcome highly technical challenges like constraint optimization and resource allocation based on limited budgets and deadlines to be met. In this paper, we introduce the area of Human Computation and present an overview of different applications for which Hybrid Human- Machine Information Systems have already been used in the realms of data management, information retrieval, natural language processing, semantic web, machine learning, and multimedia to better solve existing problems. Finally, we discuss current research directions, opportunities for the future development of such systems and their application in practice.
These 2 volumes constitute the selected papers of the 7th International Conference, CHIRA 2023, held Rome, Italy, during November 16–17, 2023. The 14 full papers and the 29 short papers presented in these books were carefully reviewed and selected from 69 submissions. The papers selected contribute to the advancement of research and practical applications of human-technology and human-computer interaction. Different aspects of Computer-Human Interaction were covered in four parallel tracks: human factors for interactive systems, research, and applications; interactive devices; interaction design; and adaptive and intelligent systems.
Increasingly, human beings are sensors engaging directly with the mobile Internet. Individuals can now share real-time experiences at an unprecedented scale. Social Sensing: Building Reliable Systems on Unreliable Data looks at recent advances in the emerging field of social sensing, emphasizing the key problem faced by application designers: how to extract reliable information from data collected from largely unknown and possibly unreliable sources. The book explains how a myriad of societal applications can be derived from this massive amount of data collected and shared by average individuals. The title offers theoretical foundations to support emerging data-driven cyber-physical applications and touches on key issues such as privacy. The authors present solutions based on recent research and novel ideas that leverage techniques from cyber-physical systems, sensor networks, machine learning, data mining, and information fusion. Offers a unique interdisciplinary perspective bridging social networks, big data, cyber-physical systems, and reliability Presents novel theoretical foundations for assured social sensing and modeling humans as sensors Includes case studies and application examples based on real data sets Supplemental material includes sample datasets and fact-finding software that implements the main algorithms described in the book
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
In recent years, virtual meeting technology has become a part of the everyday lives of more and more people, often with the help of global online social networks (OSNs). These help users to build both social and professional links on a worldwide scale. The sharing of information and opinions are important features of OSNs. Users can describe recent activities and interests, share photos, videos, applications, and much more. The use of OSNs has increased at a rapid rate. Google+, Facebook, Twitter, LinkedIn, Sina Weibo, VKontakte, and Mixi are all OSNs that have become the preferred way of communication for a vast number of daily active users. Users spend substantial amounts of time updating their information, communicating with other users, and browsing one another’s accounts. OSNs obliterate geographical distance and can breach economic barrier. This popularity has made OSNs a fascinating test bed for cyberattacks comprising Cross-Site Scripting, SQL injection, DDoS, phishing, spamming, fake profile, spammer, etc. OSNs security: Principles, Algorithm, Applications, and Perspectives describe various attacks, classifying them, explaining their consequences, and offering. It also highlights some key contributions related to the current defensive approaches. Moreover, it shows how machine-learning and deep-learning methods can mitigate attacks on OSNs. Different technological solutions that have been proposed are also discussed. The topics, methodologies, and outcomes included in this book will help readers learn the importance of incentives in any technical solution to handle attacks against OSNs. The best practices and guidelines will show how to implement various attack-mitigation methodologies.
Research can face artificial intelligence (AI) as an issue of technology development but also as an issue of enacted technology at work. Human-centered design of AI gives emphasis to the expertise and needs of human beings as a starting point of technology development or as an outcome of AI-based work settings. This is an important goal, as expressed, for example, by the international labor organization's call for a "human-centered agenda" for the future of AI and automation collaboration. This Research Topic raises the question of what human-centricity means, i.e. what are the criteria and indicators of human-centered AI and how can they be considered and implemented?
The 18th European Advanced Course on AI (ACAI) took place in Berlin on 11-15 October 2021, organized by the European project Humane-AI Net in collaboration with the European AI Association (EURAI). The school included tutorials on different topics, which were selected through an open call to top European AI researchers. In addition, the school also included 4 invited talks, a student poster presentation, and a mentorship program. This volume contains 21 tutorial chapters organized according to the following themes: human-centered AI; human-centered machine learning; explainable AI; ethics, law, and the societal aspects of AI; argumentation; and social simulation. The contributions include learning objectives, reading lists, and links to further resources.