
Artikelbeschreibung
This book outlines the development of the Trace R&D Center as an institution for furthering accessible and assistive technologies. The book walks readers through the Center's nascent attempts to solve individual challenges with augmentative communication devices through contemporary efforts to establish global frameworks and infrastructures for accessibility. This book is premised on the Center's mission to maximize the potential of people with disabilities by harnessing evolving technologies while at the same time dismantling the barriers created by those same technological advancements. Readers will learn how this has been done in the past and why this practice should be a fundamental and integrated feature in new technology planning and implementation. The book touches on pre-internet technologies before exploring the huge implications of, first, the personal computer and, second, the Internet. In parallel with the massive growth in scale rendered by the launch of the Web, the book traces the expansion of the Center's focus from the individual to the universal, particularly in working to establish accessibility standards and infrastructures. Learning from the successes and failures of the Center, the book outlines many past challenges and future directions for the development of technologies for people with disabilities from the research and industry perspectives.
Produktsicherheit
| Hersteller: | Springer Nature Customer Service Center GmbH |
| Anschrift: |
Europaplatz 3 DE-69115 Heidelberg |
| Kontakt: | ProductSafety@springernature.com |
Personeninformation
Jonathan Lazar, Ph.D., LLM is a professor in the College of Information Studies (iSchool) at the University of Maryland. Professor Lazar has authored or edited 14 books, including Accessible Technology and the Developing World (co-edited with Michael Stein), Research Methods in Human-Computer Interaction (2nd edition, co-authored with Heidi Feng and Harry Hochheiser), Ensuring Digital Accessibility Through Process and Policy (co-authored with Dan Goldstein and Anne Taylor), Disability, Human Rights, and Information Technology (co-edited with Michael Stein), Universal Usability: Designing Computer Interfaces for Diverse User Populations, and Web Usability: A User-Centered Design Approach. Professor Lazar has published over 150 refereed articles in journals, conference proceedings, and edited books, frequently serves as an adviser to U.S. government agencies, regularly provides testimony at the federal and state levels, and multiple U.S. federal regulations cite his research. At the University of Maryland iSchool, he teaches courses on human-computer interaction, user-centered design, accessibility, and legal research methods. He is the recipient of the 2021 ACM SIGCHI Academy Award, the 2020 ACM SIGACCESS Award for Outstanding Contributions to Computing and Accessibility, the 2017 University System of Maryland Board of Regents Faculty Award for Excellence in Research, and the 2016 ACM SIGCHI Social Impact Award. Dr. Lazar recently served as the general chair of the ACM ASSETS 2021 conference. At the University of Maryland, Dr. Lazar is a faculty member in the Human-Computer Interaction Lab (HCIL) and was recently appointed as the director of the Trace Research and Development Center, the nation's oldest research center on technology and disability.
Amanda Lazar is an assistant professor in the College of Information Studies with an affiliate appointment in the Department of Computer Science at the University of Maryland, College Park. She received her Ph.D. in Biomedical and Health Informatics. Her research in Human Computer Interaction examines the design of technology for older adults as well as individuals with dementia to support social interaction and engagement in life. In parallel, she examines the ways that technologies shape (and are shaped by) attitudes towards these populations. Amanda's research draws on the health sciences as well as critical frameworks. She regularly publishes her research with her students at conferences such as the ACM CHI Conference on Human Factors in Computing Systems (CHI) and Computer Supported C