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Author: Tiziana Catarci
Publisher: Springer Nature
ISBN: 3031018389
Category : Computers
Languages : en
Pages : 96
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Book Description
This lecture covers several core issues in user-centered data management, including how to design usable interfaces that suitably support database tasks, and relevant approaches to visual querying, information visualization, and visual data mining. Novel interaction paradigms, e.g., mobile and interfaces that go beyond the visual dimension, are also discussed. Table of Contents: Why User-Centered / The Early Days: Visual Query Systems / Beyond Querying / More Advanced Applications / Non-Visual Interfaces / Conclusions
Author: Tiziana Catarci
Publisher: Springer Nature
ISBN: 3031018389
Category : Computers
Languages : en
Pages : 96
Get Book Here
Book Description
This lecture covers several core issues in user-centered data management, including how to design usable interfaces that suitably support database tasks, and relevant approaches to visual querying, information visualization, and visual data mining. Novel interaction paradigms, e.g., mobile and interfaces that go beyond the visual dimension, are also discussed. Table of Contents: Why User-Centered / The Early Days: Visual Query Systems / Beyond Querying / More Advanced Applications / Non-Visual Interfaces / Conclusions
Author: Cecilia Aragon
Publisher: MIT Press
ISBN: 0262367599
Category : Computers
Languages : en
Pages : 201
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Book Description
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.
Author: Bryce Allen
Publisher: Emerald Group Publishing
ISBN: 9780120510405
Category : Computers
Languages : en
Pages : 308
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Book Description
Information Tasks summarizes user research, then presents design sketches of systems that illustrate how design is linked to research. This comprehensive user-centered approach provides an agenda for information research, design and education that challenges many accepted beliefs and suggests new directions for information work.
Author: Margaret E. Henderson
Publisher: Rowman & Littlefield
ISBN: 144226439X
Category : Language Arts & Disciplines
Languages : en
Pages : 215
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Book Description
Libraries organize information and data is information, so it is natural that librarians should help people who need to find, organize, use, or store data. Organizations need evidence for decision making; data provides that evidence. Inventors and creators build upon data collected by others. All around us, people need data. Librarians can help increase the relevance of their library to the research and education mission of their institution by learning more about data and how to manage it. Data Management will guide readers through: Understanding data management basics and best practices. Using the reference interview to help with data management Writing data management plans for grants. Starting and growing a data management service. Finding collaborators inside and outside the library. Collecting and using data in different disciplines.
Author: Frank E. Ritter
Publisher: Springer Science & Business Media
ISBN: 1447151348
Category : Computers
Languages : en
Pages : 460
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Book Description
Foundations for Designing User-Centered Systems introduces the fundamental human capabilities and characteristics that influence how people use interactive technologies. Organized into four main areas—anthropometrics, behaviour, cognition and social factors—it covers basic research and considers the practical implications of that research on system design. Applying what you learn from this book will help you to design interactive systems that are more usable, more useful and more effective. The authors have deliberately developed Foundations for Designing User-Centered Systems to appeal to system designers and developers, as well as to students who are taking courses in system design and HCI. The book reflects the authors’ backgrounds in computer science, cognitive science, psychology and human factors. The material in the book is based on their collective experience which adds up to almost 90 years of working in academia and both with, and within, industry; covering domains that include aviation, consumer Internet, defense, eCommerce, enterprise system design, health care, and industrial process control.
Author: Roberto Verganti
Publisher: Harvard Business Press
ISBN: 1422136574
Category : Business & Economics
Languages : en
Pages : 289
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Book Description
Until now, the literature on innovation has focused either on radical innovation pushed by technology or incremental innovation pulled by the market. In Design-Driven Innovation: How to Compete by Radically Innovating the Meaning of Products, Roberto Verganti introduces a third strategy, a radical shift in perspective that introduces a bold new way of competing. Design-driven innovations do not come from the market; they create new markets. They don't push new technologies; they push new meanings. It's about having a vision, and taking that vision to your customers. Think of game-changers like Nintendo's Wii or Apple's iPod. They overturned our understanding of what a video game means and how we listen to music. Customers had not asked for these new meanings, but once they experienced them, it was love at first sight. But where does the vision come from? With fascinating examples from leading European and American companies, Verganti shows that for truly breakthrough products and services, we must look beyond customers and users to those he calls "interpreters" - the experts who deeply understand and shape the markets they work in. Design-Driven Innovation offers a provocative new view of innovation thinking and practice.
Author: Gabriella Pravettoni
Publisher: Springer Nature
ISBN: 3030279944
Category : Psychology
Languages : en
Pages : 191
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Book Description
This open access volume focuses on the development of a P5 eHealth, or better, a methodological resource for developing the health technologies of the future, based on patients’ personal characteristics and needs as the fundamental guidelines for design. It provides practical guidelines and evidence based examples on how to design, implement, use and elevate new technologies for healthcare to support the management of incurable, chronic conditions. The volume further discusses the criticalities of eHealth, why it is difficult to employ eHealth from an organizational point of view or why patients do not always accept the technology, and how eHealth interventions can be improved in the future. By dealing with the state-of-the-art in eHealth technologies, this volume is of great interest to researchers in the field of physical and mental healthcare, psychologists, stakeholders and policymakers as well as technology developers working in the healthcare sector.
Author: Donald A. Norman
Publisher: CRC Press
ISBN: 9781138432932
Category : Human engineering
Languages : en
Pages : 526
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Book Description
This comprehensive volume is the product of an intensive collaborative effort among researchers across the United States, Europe and Japan. The result -- a change in the way we think of humans and computers.
Author: Venkatesh Ganti
Publisher: Springer Nature
ISBN: 3031018974
Category : Computers
Languages : en
Pages : 69
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Book Description
Data warehouses consolidate various activities of a business and often form the backbone for generating reports that support important business decisions. Errors in data tend to creep in for a variety of reasons. Some of these reasons include errors during input data collection and errors while merging data collected independently across different databases. These errors in data warehouses often result in erroneous upstream reports, and could impact business decisions negatively. Therefore, one of the critical challenges while maintaining large data warehouses is that of ensuring the quality of data in the data warehouse remains high. The process of maintaining high data quality is commonly referred to as data cleaning. In this book, we first discuss the goals of data cleaning. Often, the goals of data cleaning are not well defined and could mean different solutions in different scenarios. Toward clarifying these goals, we abstract out a common set of data cleaning tasks that often need to be addressed. This abstraction allows us to develop solutions for these common data cleaning tasks. We then discuss a few popular approaches for developing such solutions. In particular, we focus on an operator-centric approach for developing a data cleaning platform. The operator-centric approach involves the development of customizable operators that could be used as building blocks for developing common solutions. This is similar to the approach of relational algebra for query processing. The basic set of operators can be put together to build complex queries. Finally, we discuss the development of custom scripts which leverage the basic data cleaning operators along with relational operators to implement effective solutions for data cleaning tasks.
Author: Marina Barsky
Publisher: Morgan & Claypool Publishers
ISBN: 1608457958
Category : Computers
Languages : en
Pages : 95
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Book Description
Nowadays, textual databases are among the most rapidly growing collections of data. Some of these collections contain a new type of data that differs from classical numerical or textual data. These are long sequences of symbols, not divided into well-separated small tokens (words). The most prominent among such collections are databases of biological sequences, which are experiencing today an unprecedented growth rate. Starting in 2008, the "1000 Genomes Project" has been launched with the ultimate goal of collecting sequences of additional 1,500 Human genomes, 500 each of European, African, and East Asian origin. This will produce an extensive catalog of Human genetic variations. The size of just the raw sequences in this catalog would be about 5 terabytes. Querying strings without well-separated tokens poses a different set of challenges, typically addressed by building full-text indexes, which provide effective structures to index all the substrings of the given strings. Since full-text indexes occupy more space than the raw data, it is often necessary to use disk space for their construction. However, until recently, the construction of full-text indexes in secondary storage was considered impractical due to excessive I/O costs. Despite this, algorithms developed in the last decade demonstrated that efficient external construction of full-text indexes is indeed possible. This book is about large-scale construction and usage of full-text indexes. We focus mainly on suffix trees, and show efficient algorithms that can convert suffix trees to other kinds of full-text indexes and vice versa. There are four parts in this book. They are a mix of string searching theory with the reality of external memory constraints. The first part introduces general concepts of full-text indexes and shows the relationships between them. The second part presents the first series of external-memory construction algorithms that can handle the construction of full-text indexes for moderately large strings in the order of few gigabytes. The third part presents algorithms that scale for very large strings. The final part examines queries that can be facilitated by disk-resident full-text indexes. Table of Contents: Structures for Indexing Substrings / External Construction of Suffix Trees / Scaling Up: When the Input Exceeds the Main Memory / Queries for Disk-based Indexes / Conclusions and Open Problems
