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The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.
Digital is not a technological conversation; it's a people conversation. The heart of Mike Saunders' exciting new book, HumanCentric, is how to build a successful business in the Fourth Industrial Revolution while focusing on human stakeholders. Never before have we had so much information so readily available at our fingertips and there is no doubt that acceleration of innovation and the velocity of disruption underpinning the Fourth Industrial Revolution are having a major impact on businesses. Is it realistic to be at the forefront of these disruptive forces? Is it even necessary? It most certainly is. Knowledge of these disruptive forces – notably mobile, social, the Internet of Things, data and blockchain – equips us to build our businesses in the change that is enveloping us, but we need a framework to help us understand how to operate in a new revolution, how to organise the chaos into success. It is this framework to which Mike has been applying his mind for the last ten years and in this book he presents just such a model to help us to navigate the digital world and build value in a humancentric way. The four concepts of his model are explore, ideate, intersect and create and he unpacks each of them in detail and with crystal-clear clarity, while never losing sight of the human element so essential to ensuring success in an ever-evolving world. With his wide experience both locally and internationally, and his success in running the highly respected DigitLab, as well as his passion for sharing knowledge, Mike is uniquely positioned to share a complete framework for human-centred digital transformation. Our role in life is not to become digital. Instead, it is how to succeed in a digital world.
Discover the Future of Work: Dive into our groundbreaking e-book, 'Human-Centric: Unlocking Success by Prioritizing People over Systems.' This visionary guide unveils the transformative power of embracing human-centricity in your organization. Explore cutting-edge strategies to boost productivity, nurture innovation, and foster a culture that attracts and retains top talent. With real-world insights and actionable blueprints, this e-book is your key to reshaping your organization's destiny. Join the movement that's redefining success and experience the extraordinary results of putting people first. Get your copy now and embark on a journey towards a brighter, more prosperous future.
Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets. Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow—and show how a human-centered approach can enhance each one, by making the process more transparent, asking questions, and considering the social context of the data. They describe how tools from social science might be incorporated into data science practices, discuss different types of collaboration, and consider data storytelling through visualization. The book shows that data science practitioners can build rigorous and ethical algorithms and design projects that use cutting-edge computational tools and address social concerns.
The way we work will never be the same again. Employees across sectors, verticals and continents are demanding change. Purpose, values and organisational cultures are being challenged. Organisations must adapt to the new reality in which leaders from HR, IT and workplace design will have to collaborate closely to create a space and environment for work which is more caring, more productive and above all, more humane. The book is a call to action for business leaders and organisations to go beyond seeing employees as a means to business performance. In order for companies to thrive and not just survive, the workplace of the future will be one of psychological safety, learning opportunities, connectedness to others, personal development and 'caring' for the planet. It is by allowing employees to bring their whole selves to work that will result in positive wellbeing throughout the workforce and a greater engagement in their work and the company.
Visualizations are visual representations of non-visual data. They are produced for people to interact with and to make sense of the underlying data. Rapid advances in display technology and computer power have enabled researchers to produce visually appealing pictures. However, the effectiveness of those pictures in conveying the embedded information to end users has not been fully explored. Handbook of Human Centric Visualization addresses issues related to design, evaluation and application of visualizations. Topics include visualization theories, design principles, evaluation methods and metrics, human factors, interaction methods and case studies. This cutting-edge book includes contributions from well-established researchers worldwide, from diverse disciplines including psychology, visualization and human-computer interaction. This handbook is designed for a professional audience composed of practitioners, lecturers and researchers working in the field of computer graphics, visualization, human-computer interaction and psychology. Undergraduate and postgraduate students in science and engineering focused on this topic will also find this book useful as a comprehensive textbook or reference.
Whether you’re designing consumer electronics, medical devices, enterprise Web apps, or new ways to check out at the supermarket, today’s digitally-enabled products and services provide both great opportunities to deliver compelling user experiences and great risks of driving your customers crazy with complicated, confusing technology. Designing successful products and services in the digital age requires a multi-disciplinary team with expertise in interaction design, visual design, industrial design, and other disciplines. It also takes the ability to come up with the big ideas that make a desirable product or service, as well as the skill and perseverance to execute on the thousand small ideas that get your design into the hands of users. It requires expertise in project management, user research, and consensus-building. This comprehensive, full-color volume addresses all of these and more with detailed how-to information, real-life examples, and exercises. Topics include assembling a design team, planning and conducting user research, analyzing your data and turning it into personas, using scenarios to drive requirements definition and design, collaborating in design meetings, evaluating and iterating your design, and documenting finished design in a way that works for engineers and stakeholders alike.
How did some countries like South Korea catapult into the future? They hired Toffler Associates, and in this book, their CEO shares how companies and individuals can be more forward-thinking and more humanitarian
Technology advances are making tech more . . . human. This changes everything you thought you knew about innovation and strategy. In their groundbreaking book, Human + Machine, Accenture technology leaders Paul R. Daugherty and H. James Wilson showed how leading organizations use the power of human-machine collaboration to transform their processes and their bottom lines. Now, as new AI powered technologies like the metaverse, natural language processing, and digital twins begin to rapidly impact both life and work, those companies and other pioneers across industries are tipping the balance even more strikingly toward the human side with technology-led strategy that is reshaping the very nature of innovation. In Radically Human, Daugherty and Wilson show this profound shift, fast-forwarded by the pandemic, toward more human—and more humane—technology. Artificial intelligence is becoming less artificial and more intelligent. Instead of data-hungry approaches to AI, innovators are pursuing data-efficient approaches that enable machines to learn as humans do. Instead of replacing workers with machines, they're unleashing human expertise to create human-centered AI. In place of lumbering legacy IT systems, they're building cloud-first IT architectures able to continuously adapt to a world of billions of connected devices. And they're pursuing strategies that will take their place alongside classic, winning business formulas like disruptive innovation. These against-the-grain approaches to the basic building blocks of business—Intelligence, Data, Expertise, Architecture, and Strategy (IDEAS)—are transforming competition. Industrial giants and startups alike are drawing on this radically human IDEAS framework to create new business models, optimize post-pandemic approaches to work and talent, rebuild trust with their stakeholders, and show the way toward a sustainable future. With compelling insights and fresh examples from a variety of industries, Radically Human will forever change the way you think about, practice, and win with innovation.
This book introduces the applications of deep learning in various human centric visual analysis tasks, including classical ones like face detection and alignment and some newly rising tasks like fashion clothing parsing. Starting from an overview of current research in human centric visual analysis, the book then presents a tutorial of basic concepts and techniques of deep learning. In addition, the book systematically investigates the main human centric analysis tasks of different levels, ranging from detection and segmentation to parsing and higher-level understanding. At last, it presents the state-of-the-art solutions based on deep learning for every task, as well as providing sufficient references and extensive discussions. Specifically, this book addresses four important research topics, including 1) localizing persons in images, such as face and pedestrian detection; 2) parsing persons in details, such as human pose and clothing parsing, 3) identifying and verifying persons, such as face and human identification, and 4) high-level human centric tasks, such as person attributes and human activity understanding. This book can serve as reading material and reference text for academic professors / students or industrial engineers working in the field of vision surveillance, biometrics, and human-computer interaction, where human centric visual analysis are indispensable in analysing human identity, pose, attributes, and behaviours for further understanding.