Voice recognition is here at last. Alexa and other voice assistants have now become widespread and mainstream. Is your app ready for voice interaction? Learn how to develop your own voice applications for Amazon Alexa. Start with techniques for building conversational user interfaces and dialog management. Integrate with existing applications and visual interfaces to complement voice-first applications. The future of human-computer interaction is voice, and we'll help you get ready for it. For decades, voice-enabled computers have only existed in the realm of science fiction. But now the Alexa Skills Kit (ASK) lets you develop your own voice-first applications. Leverage ASK to create engaging and natural user interfaces for your applications, enabling them to listen to users and talk back. You'll see how to use voice and sound as first-class components of user-interface design. We'll start with the essentials of building Alexa voice applications, called skills, including useful tools for creating, testing, and deploying your skills. From there, you can define parameters and dialogs that will prompt users for input in a natural, conversational style. Integrate your Alexa skills with Amazon services and other backend services to create a custom user experience. Discover how to tailor Alexa's voice and language to create more engaging responses and speak in the user's own language. Complement the voice-first experience with visual interfaces for users on screen-based devices. Add options for users to buy upgrades or other products from your application. Once all the pieces are in place, learn how to publish your Alexa skill for everyone to use. Create the future of user interfaces using the Alexa Skills Kit today. What You Need: You will need a computer capable of running the latest version of Node.js, a Git client, and internet access.

This book reports on innovative research and developments in the broad field of transportation. It covers solutions relating to intelligent vehicles and infrastructure, energy and combustion management, vehicle dynamics and control, as well as research on human factors, logistics and security. Contributions are based on peer-reviewed papers presented at the 12th international scientific conference "Transbaltica: Transportation Science and Technology", held virtually from Vilnius Gediminas Technical University, Lithuania, on September 16-17, 2021. All in all, this book offers extensive information on modern transport systems, with a good balance of theory and practice.

Our technologies are progressively developing into algorithmic devices that seamlessly interface with digital personhood. This text discusses the ways in which technology is increasingly becoming a part of personhood and the resulting ethical issues. It extends upon the framework for a brain-based cyberpsychology outlined by the author's earlier book Cyberpsychology and the Brain: The Interaction of Neuroscience and Affective Computing (Cambridge, 2017). Using this framework, Thomas D. Parsons investigates the ethical issues involved in cyberpsychology research and praxes, which emerge in algorithmically coupled people and technologies. The ethical implications of these ideas are important as we consider the cognitive enhancements that can be afforded by our technologies. If people are intimately linked to their technologies, then removing or damaging the technology could be tantamount to a personal attack. On the other hand, algorithmic devices may threaten autonomy and privacy. This book reviews these and other issues.

This book presents interdisciplinary research in software engineering with applications for the social sector. The author focuses on software applications that are used for social good and that serve the needs of society. The author aims to bridge the knowledge gap between requirement engineers, industry, and users in order to help identify a diverse range of needs in the social sector (taking into account user crowd diversity in terms of technological competencies, geography, demographics, and behavioral and psychographic aspects). The book provides rigorous empirical studies and validates solutions that serve as a guide to the software engineering community, researchers, graduate students, and teachers. Provides interdisciplinary research in software engineering and the needs of the social sector, helping to increase success rates of society focused startups and applications Ideal for social entrepreneurs who can use the book for doing customer development with diverse users Establishes a new research line of social sector requirement engineering, taking into account user age, language, ability, and access

Powerful information technologies and the complex support systems they engender are evolving faster than people's ability to adjust to them. In the workplace, this leads to troublesome task performance, added stress on users, increased organizational inefficiency, and, in some cases, a heightened risk of wide-scale disaster. In the marketplace, it makes for consumer dissatisfaction. Clearly, traditional human-computer interaction (HCI) and system design (SD) solutions to this dilemma have proven woefully inadequate. What is needed is a fresh multidisciplinary approach offering a broader, more dynamic framework for assessing needs and designing usable, efficient systems. Taking modeling concepts from engineering, psychology, cognitive science, information science, and computer science, cognitive systems engineering (CSE) provides such a framework. This book is the first comprehensive guide to the emerging new field of CSE. Providing equal parts theory and practice, it is based on the authors' many years of experience with work systems in a wide range of work domains, including process control, manufacturing, hospitals, and libraries. Throughout, the emphasis is on powerful analytical techniques that enhance the systems designer's ability to see the "big picture", and to design for all crucial aspects of human-work interaction. Applicable to highly structured technical systems such as process plants, as well as less structured user-driven systems like libraries, these analytical techniques form the basis for the evaluation and design guidelines that make up the bulk of this book. And since the proof is in the pudding, the authors provide a chapter-length case history in which theydemonstrate the success of their approach when applied to a full-scale software design project. The project, a retrieval system for public libraries, is described in detail, from field studies to concept validation experiments, and, of course, the empirical evaluation of the system while in use by the library users and personnel. Computer-based information systems are rapidly becoming a fundamental part of the human landscape. How that landscape evolves over the next decade or so, whether it becomes a hostile one or one that generously supports the needs of future generations, is in the hands of all those involved with the study and design of information systems.

If you're like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems. Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users. Analyze, explore, transform, and visualize data in Apache Spark with R Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows Perform analysis and modeling across many machines using distributed computing techniques Use large-scale data from multiple sources and different formats with ease from within Spark Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions

Updated for use with ArcGIS (R) Pro 2.6 GIS Tutorial for ArcGIS Pro 2.6 is the introductory workbook for learning geographic information systems with ArcGIS Pro, the premier professional desktop geographic information system (GIS) application from Esri. Rooted in the science of geography, GIS is a framework for gathering, managing, and analyzing data using map visualizations and location intelligence. Using ArcGIS Pro for these tasks allows you to understand complex data with the leading GIS software that many businesses, organizations, and institutions use every day. Designed for use in classrooms or for self-learners, GIS Tutorial for ArcGIS Pro 2.6 delves into GIS concepts and hands-on lessons in every chapter for an easy-to-follow guide for learning GIS and ArcGIS Pro. Using proven teaching methods, this book shows you how to make maps, create and analyze spatial data, and manage operational systems with GIS. Step-by-step exercises use ArcGIS Pro along with ArcGIS Online, ArcGIS StoryMaps, ArcGIS Dashboards, and ArcGIS Collector, plus "Your Turn" sections where you reinforce what you learned using real-world data. Free downloadable video lectures and lecture slides covering the entire book are also available for everyone. Written by the authors of the top-selling GIS Tutorial 1: Basic Workbook, GIS Tutorial for Health, and GIS Tutorial for Crime Analysis books, GIS Tutorial for ArcGIS Pro 2.6 serves as a complete resource for learning and teaching ArcGIS Pro in GIS projects.

Level up with Tableau to build eye-catching, easy-to-interpret data visualizations. In this follow-up guide to Practical Tableau, author Ryan Sleeper takes you through a collection of unique tips and tutorials for using this popular software. Beginning to advanced Tableau users will learn how to go beyond Show Me to make better charts and learn dozens of tricks to improve both the author and user experience. Featuring many approaches he developed himself, Ryan shows you how to create charts that empower Tableau users to explore, understand, and derive value from their data. He also shares many of his favorite tricks that enabled him to become a Tableau Zen Master, Tableau Public Visualization of the Year author, and Tableau Global Iron Viz Champion. Learn what's new in Tableau since Practical Tableau was released Examine unique new charts-timelines, custom gauges, and leapfrog charts-plus innovations to traditional charts such as highlight tables, scatter plots, and maps Get tips that can help make a Tableau developer's life easier Understand what developers can do to make users' lives easier

Recent rapid advances in high-speed computer technology have provided a new reality, an perhaps urgency, to the arguments concerning some of the most basic and long-standing of philosophical issues. If computers can, before too long, achieve a genuine artificial intelligence, then may they not also have artificial minds? In this series of lectures, a distinguished group of international contributors from a variety of disciplines debate the current position. Donald Broadbent's introduction describes the parallels in human and machine behaviour, asserting the value of a scientific approach. Roger Penrose goes on to set the scene by evaluating current claims and issues, supporting a sceptical view. Contributions from Allen Newell, Dana Ballard and Mike Brady present some recent achievements of engineering and computer science, showing just how far machines have come. In his chapter Edmund Rolls offers a perspective from neuroscience and examines how certain cognitive processes (such as memory) can be understood in terms of how the brain itself computes and functions. From linguistics, Gerald Gazdar considers recent progress in getting computers to handle natural languages (such as English, Japanese, etc) rather than artificial languages. In the final chapter, Margaret Boden assesses the impact on philosophty of the current argument, which hangs on the resolution of a deep philosophical debate about the nature of mind.

Learn to identify the social engineer by non-verbal behavior

"Unmasking the Social Engineer: The Human Element of Security" focuses on combining the science of understanding non-verbal communications with the knowledge of how social engineers, scam artists and con men use these skills to build feelings of trust and rapport in their targets. The author helps readers understand how to identify and detect social engineers and scammers by analyzing their non-verbal behavior. "Unmasking the Social Engineer" shows how attacks work, explains nonverbal communications, and demonstrates with visuals the connection of non-verbal behavior to social engineering and scamming.Clearly combines both the practical and technical aspects of social engineering securityReveals the various dirty tricks that scammers usePinpoints what to look for on the nonverbal side to detect the social engineer

Sharing proven scientific methodology for reading, understanding, and deciphering non-verbal communications, "Unmasking the Social Engineer" arms readers with the knowledge needed to help protect their organizations.

User interface (UI) design rules and guidelines, developed by early HCI gurus and recognized throughout the field, were based on cognitive psychology (study of mental processes such as problem solving, memory, and language), and early practitioners were well informed of its tenets. But today practitioners with backgrounds in cognitive psychology are a minority, as user interface designers and developers enter the field from a wide array of disciplines. HCI practitioners today have enough experience in UI design that they have been exposed to UI design rules, but it is essential that they understand the psychological basis behind the rules in order to effectively apply them. In Designing with the Mind in Mind, best-selling author Jeff Johnson provides designers with just enough background in perceptual and cognitive psychology that UI design guidelines make intuitive sense rather than being just a list of rules to follow.

This book presents the proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021), held online on June 13-18, 2021. By highlighting the latest theories and models, as well as cutting-edge technologies and applications, and by combining findings from a range of disciplines including engineering, design, robotics, healthcare, management, computer science, human biology and behavioral science, it provides researchers and practitioners alike with a comprehensive, timely guide on human factors and ergonomics. It also offers an excellent source of innovative ideas to stimulate future discussions and developments aimed at applying knowledge and techniques to optimize system performance, while at the same time promoting the health, safety and wellbeing of individuals. The proceedings include papers from researchers and practitioners, scientists and physicians, institutional leaders, managers and policy makers that contribute to constructing the Human Factors and Ergonomics approach across a variety of methodologies, domains and productive sectors. This volume includes papers addressing the following topics: Ergonomics in Design for All, Human Factors and Sustainable Development, Gender and Work, Slips Trips and Falls, Visual Ergonomics, Ergonomics for children and Educational Environments, Ageing and Work.

In the age of big data, being able to make sense of data is an important key to success. Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data. The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods. It introduces criteria for designing interactive visual data analysis solutions, discusses factors influencing the design, and examines the involved processes. The reader is made familiar with the basics of visual encoding and gets to know numerous visualization techniques for multivariate data, temporal data, geo-spatial data, and graph data. A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how modern interaction technology can facilitate the visual data analysis in many ways. Addressing today's large and complex data, the book covers relevant automatic analytical computations to support the visual data analysis. The book also sheds light on advanced concepts for visualization in multi-display environments, user guidance during the data analysis, and progressive visual data analysis. The authors present a top-down perspective on interactive visual data analysis with a focus on concise and clean terminology. Many real-world examples and rich illustrations make the book accessible to a broad interdisciplinary audience from students, to experts in the field, to practitioners in data-intensive application domains. Features: Dedicated to the synthesis of visual, interactive, and analysis methods Systematic top-down view on visualization, interaction, and automatic analysis Broad coverage of fundamental and advanced visualization techniques Comprehensive chapter on interacting with visual representations Extensive integration of automatic computational methods Accessible portrayal of cutting-edge visual analytics technology Foreword by Jack van Wijk For more information, you can also visit the author website, where the book's figures are made available under the CC BY Open Access license.

This book presents the proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021), held online on June 13-18, 2021. By highlighting the latest theories and models, as well as cutting-edge technologies and applications, and by combining findings from a range of disciplines including engineering, design, robotics, healthcare, management, computer science, human biology and behavioral science, it provides researchers and practitioners alike with a comprehensive, timely guide on human factors and ergonomics. It also offers an excellent source of innovative ideas to stimulate future discussions and developments aimed at applying knowledge and techniques to optimize system performance, while at the same time promoting the health, safety and wellbeing of individuals. The proceedings include papers from researchers and practitioners, scientists and physicians, institutional leaders, managers and policy makers that contribute to constructing the Human Factors and Ergonomics approach across a variety of methodologies, domains and productive sectors. This volume includes papers addressing the following topics: Transport Ergonomics and Human Factors, Practitioner Case Studies, Human Factors in Robotics, Manufacturing, Agriculture, HF/E in Supply Chain Design and Management, Aerospace, Building and Construction.

This book presents the proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021), held online on June 13-18, 2021. By highlighting the latest theories and models, as well as cutting-edge technologies and applications, and by combining findings from a range of disciplines including engineering, design, robotics, healthcare, management, computer science, human biology and behavioral science, it provides researchers and practitioners alike with a comprehensive, timely guide on human factors and ergonomics. It also offers an excellent source of innovative ideas to stimulate future discussions and developments aimed at applying knowledge and techniques to optimize system performance, while at the same time promoting the health, safety and wellbeing of individuals. The proceedings include papers from researchers and practitioners, scientists and physicians, institutional leaders, managers and policy makers that contribute to constructing the Human Factors and Ergonomics approach across a variety of methodologies, domains and productive sectors. This volume includes papers addressing the following topics: Activity Theories for Work Analysis and Design (ATWAD), Organisation design and management (ODAM), Ergonomic Work Analysis and Training (EWAT), Systems HF/E, HF/E Education and Professional Certification Development.

This book is a collection of best selected research papers presented at International Conference on Intelligent and Smart Computing in Data Analytics (ISCDA 2020), held at K L University, Guntur, Andhra Pradesh, India. The primary focus is to address issues and developments in advanced computing, intelligent models and applications, smart technologies and applications. It includes topics such as artificial intelligence and machine learning, pattern recognition and analysis, computational intelligence, signal and image processing, bioinformatics, ubiquitous computing, genetic fuzzy systems, hybrid evolutionary algorithms, nature-inspired smart hybrid systems, Internet of things, industrial IoT, health informatics, human-computer interaction and social network analysis. The book presents innovative work by leading academics, researchers and experts from industry.

This is an open access book. Creativity is a difficult concept, how can it best be defined, understood, applied, and practiced? This book provides important answers to these questions. Technology can enable artists to be more creative. Scientific and artistic thinking give us two complementary tools to understand the complexity of the world, with science reducing subjective experience to essential principles and art intensifying and expanding our experiences. These examples also show how artists can push the boundaries of technology into exciting new realms that have not been explored before. The impact that art and art practice can have on culture, society, and social responsibility is explored in detail through examples and case studies. In addition, the book presents how artists are creating and reflecting cultural and societal resonance in their work. Can other disciplines help artists to be more creative? All are part of an interrelated wider society and enables artists to develop artwork fit for highly interfaced and conceptually broad contemporary contexts. This is illustrated with examples which show exciting and challenging results. Creativity in Art, Design and Technology is relevant for artists, designers, scientists and technologists. All can benefit in a major way from a greater understanding of creativity, and the ways in which mutual interaction and collaboration enables all areas to develop. The potential for the future is immense and this book signposts the way forward.

Pioneering work shows how using Diagrams facilitates the design of better AI systems

The publication of "Diagrammatic Reasoning in AI" marks an important milestone for anyone seeking to design graphical user interfaces to support decision-making and problem-solving tasks. The author expertly demonstrates how diagrammatic representations can simplify our interaction with increasingly complex information technologies and computer-based information systems. In particular, the book emphasizes how diagrammatic user interfaces can help us better understand and visualize artificial intelligence (AI) systems. It examines how diagrammatic reasoning enhances various AI programming strategies used to emulate human thinking and problem-solving, including: Expert systemsModel-based reasoningInexact reasoning such as certainty factors and Bayesian networksLogic reasoning

A key part of the book is its extensive development of applications and graphical illustrations, drawing on such fields as the physical sciences, macroeconomics, finance, business logistics management, and medicine. Despite such tremendous diversity of usage, in terms of applications and diagramming notations, the book classifies and organizes diagrams around six major themes: system topology; sequence and flow; hierarchy and classification; association; cause and effect; and logic reasoning. Readers will benefit from the author's discussion of how diagrams can be more than just a static picture or representation and how diagrams can be a central part of an intelligent user interface, meant to be manipulated and modified, and in some cases, utilized to infer solutions to difficult problems.

This book is ideal for many different types of readers: practitioners and researchers in AI and human-computer interaction; business and computing professionals; graphic designers and designers of graphical user interfaces; and just about anyone interested in understanding the power of diagrams. By discovering the many different types of diagrams and their applications in AI, all readers will gain a deeper appreciation of diagrammatic reasoning.

Brain-computer interface (BCI) technology provides a means of communication that allows individuals with severely impaired movement to communicate with assistive devices using the electroencephalogram (EEG) or other brain signals. The practicality of a BCI has been possible due to advances in multi-disciplinary areas of research related to cognitive neuroscience, brain-imaging techniques and human-computer interfaces. However, two major challenges remain in making BCI for assistive robotics practical for day-to-day use: the inherent lower bandwidth of BCI, and how to best handle the unknown embedded noise within the raw EEG. Brain-Computer Interfacing for Assistive Robotics is a result of research focusing on these important aspects of BCI for real-time assistive robotic application. It details the fundamental issues related to non-stationary EEG signal processing (filtering) and the need of an alternative approach for the same. Additionally, the book also discusses techniques for overcoming lower bandwidth of BCIs by designing novel use-centric graphical user interfaces. A detailed investigation into both these approaches is discussed.

A comprehensive research guide for both quantitative and qualitative research methods

Written by a team of authorities in human-computer interaction (HCI) and usability, this pedagogical guide walks you through the methods used in HCI and examines what are considered to be appropriate research practices in the field. Featuring a plethora of real-world examples throughout, you'll discover how these methods have been used in HCI research so that you can gain a stronger understanding of the subject matter.Serves as an authoritative, comprehensive resource on all things related to research methods in human-computer interactionAddresses experimental research and design methods, statistical analysis, and time diariesShares authentic case studies, interviews, and focus group experiencesReviews analyzing qualitative data, working with human subjects, handling automated computer data collection methods, and more

If you are looking for a detailed, no-nonsense resource that offers in-depth coverage of HCI methods, then this is the book for you.

Discover how graph databases can help you manage and query highly connected data. With this practical book, you'll learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains. Whether you want to speed up your response to user queries or build a database that can adapt as your business evolves, this book shows you how to apply the schema-free graph model to real-world problems. This second edition includes new code samples and diagrams, using the latest Neo4j syntax, as well as information on new functionality. Learn how different organizations are using graph databases to outperform their competitors. With this book's data modeling, query, and code examples, you'll quickly be able to implement your own solution. Model data with the Cypher query language and property graph model Learn best practices and common pitfalls when modeling with graphs Plan and implement a graph database solution in test-driven fashion Explore real-world examples to learn how and why organizations use a graph database Understand common patterns and components of graph database architecture Use analytical techniques and algorithms to mine graph database information

This book focuses on novel design and systems engineering approaches, including theories and best practices, for promoting a better integration of people and engineering systems. It covers a range of innovative topics related to: development of human-centered systems; interface design and human-computer interaction; usability and user experience; innovative materials in design and manufacturing; biomechanics and physical rehabilitation, as well as safety engineering and systems complexity. The book, which gathers selected papers presented at the 3rd International Conference on Human Systems Engineering and Design: Future Trends and Applications (IHSED 2020), held on September 22-24, 2020, at Juraj Dobrila University of Pula, in Pula, Croatia, provides researchers and practitioners with a snapshot of the state-of-the-art and current challenges in the field of human systems engineering and design.

Imagine how much easier creating web and mobile applications would be if you had a practical and concise, hands-on guide to visual design. "Visual Usability" gets into the nitty-gritty of applying visual design principles to complex application design.

You ll learn how to avoid common mistakes, make informed decisions about application design, and elevate the ordinary. We ll review three key principles that affect application design - consistency, hierarchy, and personality - and illustrate how to apply tools like typography, color, and layout to digital application design. Whether you re a UI professional looking to fine-tune your skills, a developer who cares about making applications beautiful and usable, or someone entirely new to the design arena, Visual Usability is your one-stop, practical guide to visual design.
Discover the principles and rules that underlie successful application design Learn how to develop a rationale to support design strategy and move teams forwardMaster the visual design toolkit to increase user-friendliness and make complicated processes feel straightforward for your product "

As a usability specialist or interaction designer working with the government, or as a government or contractor professional involved in specifying, procuring, or managing system development, you need this book. Editors Elizabeth Buie and Dianne Murray have brought together over 30 experts to outline practical advice to both usability specialists and government technology professionals and managers.

Working with internal and external government systems is a unique and difficult task because of of the sheer magnitude of the audience for external systems (the entire population of a country, and sometimes more), and because of the need to achieve government transparency while protecting citizens privacy.. Open government, plain language, accessibility, biometrics, service design, internal vs. external systems, and cross-cultural issues, as well as working with the government, are all covered in this book.
Covers both public-facing systems and internal systems run by governmentsDetails usability and user experience approaches specific to government websites, intranets, complex systems, and applicationsProvides practical material that allows you to take the information and immediately use it to make a difference in your projects"