When you picture human-data interactions (HDI), what comes to mind? The datafication of modern life, along with open data initiatives advocating for transparency and access to current and historical datasets, has fundamentally transformed when, where, and how people encounter data. People now rely on data to make decisions, understand current events, and interpret the world. We frequently employ graphs, maps, and other spatialized forms to aid data interpretation, yet the familiarity of these displays causes us to forget that even basic representations are complex, challenging inscriptions and are not neutral; they are based on representational choices that impact how and what they communicate. This book draws on frameworks from the learning sciences, visualization, and human-computer interaction to explore embodied HDI. This exciting sub-field of interaction design is based on the premise that every day we produce and have access to quintillions of bytes of data, the exploration and analysis of which are no longer confined within the walls of research laboratories. This volume examines how humans interact with these data in informal (not work or school) environments, paritcularly in museums. The first half of the book provides an overview of the multi-disciplinary, theoretical foundations of HDI (in particular, embodied cognition, conceptual metaphor theory, embodied interaction, and embodied learning) and reviews socio-technical theories relevant for designing HDI installations to support informal learning. The second half of the book describes strategies for engaging museum visitors with interactive data visualizations, presents methodologies that can inform the design of hand gestures and body movements for embodied installations, and discusses how HDI can facilitate people's sensemaking about data. This cross-disciplinary book is intended as a resource for students and early-career researchers in human-computer interaction and the learning sciences, as well as for more senior researchers and museum practitioners who want to quickly familiarize themselves with HDI.

"This book comprises a collection of authors' individual approaches to the relationship between nature, science, and art created with the use of computers, discussing issues related to the use of visual language in communication about biologically-inspired scientific data, visual literacy in science, and application of practitioner's approach"--Provided by publisher.

Use the arts to engage, motivate, and inspire students in math class! This book provides thoughtful strategies to help teachers integrate creative movement, drama, music, poetry, storytelling, and visual arts in mathematics topics. These teacher-friendly strategies bring math to life while building students’ critical thinking skills and creativity.

Creative research methods for data generation have expanded over recent decades and researchers are eager to take a creative approach to data analysis. It is challenging to bring creativity into data analysis while retaining a systematic, rigorous and ethical approach. Written by experts in the field, this handbook addresses these challenges. The chapters adapt analytical techniques in creative ways for novice and expert researchers. Existing and novel methods from analysis of quantitative data to embodied, performative, visual, written, arts-based and collaborative analysis are featured with transferable case examples across disciplines. This collection offers a definitive practical guide to creative data analysis.

The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You'll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides practical guidance on how to apply the DQAF within any organization enabling you to prioritize measurements and effectively report on results. Strategies for using data measurement to govern and improve the quality of data and guidelines for applying the framework within a data asset are included. You'll come away able to prioritize which measurement types to implement, knowing where to place them in a data flow and how frequently to measure. Common conceptual models for defining and storing of data quality results for purposes of trend analysis are also included as well as generic business requirements for ongoing measuring and monitoring including calculations and comparisons that make the measurements meaningful and help understand trends and detect anomalies. - Demonstrates how to leverage a technology independent data quality measurement framework for your specific business priorities and data quality challenges - Enables discussions between business and IT with a non-technical vocabulary for data quality measurement - Describes how to measure data quality on an ongoing basis with generic measurement types that can be applied to any situation

D_Tex is proposed as a hub around which it is possible to look at textiles in their different forms, in order to better understand, study, adapt and project them for the future. It is intended to build a flow of ideas and concepts so that participants can arrive at new ideas and concepts and work them in their own way, adapting them to their objectives and research. D_Tex is intended as a space for sharing and building knowledge around textile material in order to propose new understandings and explorations. Present in all areas of knowledge, the textile material bets on renewed social readings and its evolutions to constantly reinvent itself and enable innovative cultural and aesthetic dimensions and unexpected applications to solve questions and promote new knowledge. D_Tex proposes to promote discussion and knowledge in the different areas where textiles, with all their characteristics, can ensure an important contribution, combining material and immaterial knowledge, innovative and traditional techniques, technological and innovative materials and methods, but also new organization and service models, different concepts and views on teaching. With the renewed idea of the intrinsic interdisciplinarity of design and sharing with different areas that support each other, the research and practice of textiles was proposed by the D_TEX Textile Design Conference 2019, held June 19-21, 2019 at the Lisbon School of Architecture of the University of Lisbon, Portugal under the theme "In Touch" where, as broadly understood as possible, different areas of textiles were regarded as needing to keep in touch with each other and end users in order to promote and share the best they can offer for the welfare of their users and consumers.

Research on and with digital technologies is everywhere today. This timely, authoritative Handbook explores the issues of rapid technological development, social change, and the ubiquity of computing technologies which have become an integrated part of people′s everyday lives. This is a comprehensive, up-to-date resource for the twenty-first century. It addresses the key aspects of research within the digital technology field and provides a clear framework for readers wanting to navigate the changeable currents of digital innovation. Main themes include: - Introduction to the field of contemporary digital technology research - New digital technologies: key characteristics and considerations - Research perspectives for digital technologies: theory and analysis - Environments and tools for digital research - Research challenges Aimed at a social science audience, it will be of particular value for postgraduate students, researchers and academics interested in research on digital technology, or using digital technology to undertake research.