Proceedings of the 15th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences, Nice, France, 24-27 July 2024.
System Innovation for a Troubled World: Applied System Innovation VIII contains roughly one tenth of the total of 250 contributions from 8 different countries that were presented at the IEEE 8th International Conference on Applied System Innovation (ICASI 2022, Sun Moon Lake, Nantou, Taiwan, 21-23 April 2022). This book aims to provide an integrated communication platform for researchers from a wide range of topics including: Information Technology Communication Science Applied Mathematics Computer Science Advanced Material Science Engineering System Innovation for a Troubled World: Applied System Innovation VIII aims at science and engineering technologists, academics and professionals from the above mentioned areas.
Thanks to the availability of texts on the Web in recent years, increased knowledge and information have been made available to broader audiences. However, the way in which a text is written—its vocabulary, its syntax—can be difficult to read and understand for many people, especially those with poor literacy, cognitive or linguistic impairment, or those with limited knowledge of the language of the text. Texts containing uncommon words or long and complicated sentences can be difficult to read and understand by people as well as difficult to analyze by machines. Automatic text simplification is the process of transforming a text into another text which, ideally conveying the same message, will be easier to read and understand by a broader audience. The process usually involves the replacement of difficult or unknown phrases with simpler equivalents and the transformation of long and syntactically complex sentences into shorter and less complex ones. Automatic text simplification, a research topic which started 20 years ago, now has taken on a central role in natural language processing research not only because of the interesting challenges it posesses but also because of its social implications. This book presents past and current research in text simplification, exploring key issues including automatic readability assessment, lexical simplification, and syntactic simplification. It also provides a detailed account of machine learning techniques currently used in simplification, describes full systems designed for specific languages and target audiences, and offers available resources for research and development together with text simplification evaluation techniques.
Never before have the civil rights of people with disabilities aligned so well with developments in information and communication technology. The center of the technology revolution is the Internet, which fosters unprecedented opportunities for engagement in democratic society. The Americans with Disabilities Act likewise is helping to ensure equal participation in society by people with disabilities. Globally, the Convention on the Rights of Persons with Disabilities further affirms that persons with disabilities are entitled to the full and equal enjoyment of fundamental personal freedoms. This book is about the lived struggle for disability rights, with a focus on Web equality for people with cognitive disabilities, such as intellectual disabilities, autism, and print-related disabilities. The principles derived from the right to the Web - freedom of speech and individual dignity - are bound to lead toward full and meaningful involvement in society for persons with cognitive and other disabilities.
In recent years, **Artificial Intelligence (AI)** has rapidly transformed many industries, and education is no exception. As the world embraces the digital age, AI is poised to become an integral part of the educational landscape, reshaping how we teach, learn, and manage educational systems. This book, *The Future of Education: Integrating AI in the Classroom*, explores the profound impact AI is having on education and offers a glimpse into the future of learning in an AI-driven world. The journey to transform education through AI has only just begun, but the potential is immense. AI offers unparalleled opportunities to personalize learning, automate administrative tasks, and create smarter, more engaging learning environments. Through AI, educators can identify the unique needs of each student, providing customized learning paths that adjust in real-time based on a student’s progress. Meanwhile, AI-powered tools allow teachers to focus more on inspiring creativity, critical thinking, and problem-solving, rather than getting bogged down in time-consuming tasks like grading. This book delves into these opportunities and challenges, providing educators, administrators, and policymakers with insights into the current and future applications of AI in education. It highlights how AI is helping to create more equitable learning environments, enabling even the most underserved students to access high-quality education. At the same time, the book discusses the ethical considerations of AI—ensuring that the use of AI technologies is inclusive, unbiased, and respects students’ privacy. Through practical strategies and real-world applications, this book offers a roadmap for integrating AI into the classroom effectively. It is designed to empower educators with the knowledge and tools to harness AI in ways that enhance teaching and learning, foster collaboration, and drive educational innovation. As we embark on this exciting journey, it is essential to recognize that AI will not replace teachers but instead serve as a powerful tool to augment their capabilities. By doing so, we can ensure that the future of education is not only more efficient but also more personalized, engaging, and impactful for every learner.
This two-volume set CCIS 173 and CCIS 174 constitutes the extended abstracts of the posters presented during the 14th International Conference on Human-Computer Interaction, HCII 2011, held in Orlando, FL, USA in July 2011, jointly with 12 other thematically similar conferences. A total of 4039 contributions was submitted to HCII 2011, of which 232 poster papers were carefully reviewed and selected for presentation as extended abstracts in the two volumes.
Web accessibility not just morally sound – there are legal obligations as well Very large potential audience, consisting of web developers and business managers Very little competition to this book
Semiotic engineering was originally proposed as a semiotic approach to designing user interface languages. Over the years, with research done at the Department of Informatics of the Pontifical Catholic University of Rio de Janeiro, it evolved into a semiotic theory of human-computer interaction (HCI). It views HCI as computer-mediated communication between designers and users at interaction time. The system speaks for its designers in various types of conversations specified at design time. These conversations communicate the designers' understanding of who the users are, what they know the users want or need to do, in which preferred ways, and why. The designers' message to users includes even the interactive language in which users will have to communicate back with the system in order to achieve their specific goals. Hence, the process is, in fact, one of communication about communication, or metacommunication. Semiotic engineering has two methods to evaluate the quality of metacommunication in HCI: the semiotic inspection method (SIM) and the communicability evaluation method (CEM). Up to now, they have been mainly used and discussed in technical contexts, focusing on how to detect problems and how to improve the metacommunication of specific systems. In this book, Clarisse de Souza and Carla Leitão discuss how SIM and CEM, which are both qualitative methods, can also be used in scientific contexts to generate new knowledge about HCI. The discussion goes into deep considerations about scientific methodology, calling the reader's attention to the essence of qualitative methods in research and the kinds of results they can produce. To illustrate their points, the authors present an extensive case study with a free open-source digital audio editor called Audacity. They show how the results obtained with a triangulation of SIM and CEM point at new research avenues not only for semiotic engineering and HCI but also for other areas of computer science such as software engineering and programming. Table of Contents: Introduction / Essence of Semiotic Engineering / Semiotic Engineering Methods / Case Study with Audacity / Lessons Learned with Semiotic Engineering Methods / The Near Future of Semiotic Engineering