This monograph brings together a collection of 14 value sensitive design methods. These methods--along with the heuristics and examples discussed here--go a good distance toward providing tools for engaging substantively with human values in the technical design process.

Using our moral and technical imaginations to create responsible innovations: theory, method, and applications for value sensitive design. Implantable medical devices and human dignity. Private and secure access to information. Engineering projects that transform the Earth. Multigenerational information systems for international justice. How should designers, engineers, architects, policy makers, and others design such technology? Who should be involved and what values are implicated? In Value Sensitive Design, Batya Friedman and David Hendry describe how both moral and technical imagination can be brought to bear on the design of technology. With value sensitive design, under development for more than two decades, Friedman and Hendry bring together theory, methods, and applications for a design process that engages human values at every stage. After presenting the theoretical foundations of value sensitive design, which lead to a deep rethinking of technical design, Friedman and Hendry explain seventeen methods, including stakeholder analysis, value scenarios, and multilifespan timelines. Following this, experts from ten application domains report on value sensitive design practice. Finally, Friedman and Hendry explore such open questions as the need for deeper investigation of indirect stakeholders and further method development. This definitive account of the state of the art in value sensitive design is an essential resource for designers and researchers working in academia and industry, students in design and computer science, and anyone working at the intersection of technology and society.

Value sensitive design is a theoretically grounded approach to the design of technology that accounts for human values in a principled and systematic manner throughout the design process. In this article we provide a survey of 14 value sensitive design methods: (1) direct and indirect stakeholder analysis; (2) value source analysis; (3) co-evolution of technology and social structure; (4) value scenario; (5) value sketch; (6) value-oriented semi- structured interview; (7) scalable information dimensions; (8) value-oriented coding manual; (9) value-oriented mockup, prototype, or field deployment; (10) ethnographically informed inquiry regarding values and technology; (11) model of informed consent online; (12) value dams and flows; (13) value sensitive action-reflection model; and (14) Envisioning Cards TM. Each of these methods is honed to the investigation of values in technology, serving such purposes as stakeholder identification and legitimation, value representation and elicitation, and values analysis. While presented individually, the methods are intended to be integrated in a robust value sensitive design process. The survey article begins with a brief summary of value sensitive design methodology and theoretical constructs. We next provide an overview of the 14 methods. Then, we turn to a broader discussion of value sensitive design practice, focussing on some methodological strategies and heuristics to support skillful value sensitive design practice. Following the broad discussion of practice, we illustrate one method in action--value scenarios--providing details on its range of purposes and contexts. We conclude with reflections on core characteristics of value sensitive design methodology, and heuristics for innovation.

To the uninformed, surveys appear to be an easy type of research to design and conduct, but when students and professionals delve deeper, they encounter the vast complexities that the range and practice of survey methods present. To complicate matters, technology has rapidly affected the way surveys can be conducted; today, surveys are conducted via cell phone, the Internet, email, interactive voice response, and other technology-based modes. Thus, students, researchers, and professionals need both a comprehensive understanding of these complexities and a revised set of tools to meet the challenges. In conjunction with top survey researchers around the world and with Nielsen Media Research serving as the corporate sponsor, the Encyclopedia of Survey Research Methods presents state-of-the-art information and methodological examples from the field of survey research. Although there are other "how-to" guides and references texts on survey research, none is as comprehensive as this Encyclopedia, and none presents the material in such a focused and approachable manner. With more than 600 entries, this resource uses a Total Survey Error perspective that considers all aspects of possible survey error from a cost-benefit standpoint. Key Features Covers all major facets of survey research methodology, from selecting the sample design and the sampling frame, designing and pretesting the questionnaire, data collection, and data coding, to the thorny issues surrounding diminishing response rates, confidentiality, privacy, informed consent and other ethical issues, data weighting, and data analyses Presents a Reader′s Guide to organize entries around themes or specific topics and easily guide users to areas of interest Offers cross-referenced terms, a brief listing of Further Readings, and stable Web site URLs following most entries The Encyclopedia of Survey Research Methods is specifically written to appeal to beginning, intermediate, and advanced students, practitioners, researchers, consultants, and consumers of survey-based information.

This book addresses the needs of researchers who want to conduct surveys online. Issues discussed include sampling from online populations, developing online and mobile questionnaires, and administering electronic surveys, are unique to digital surveys. Others, like creating reliable and valid survey questions, data analysis strategies, and writing the survey report, are common to all survey environments. This single resource captures the particulars of conducting digital surveys from start to finish

The deployment of Autonomous Weapons gives rise to ongoing debate in society and at the United Nations, in the context of the Convention on Certain Conventional Weapons. Yet little empirical research has been done on this topic. This volume fills that gap by offering an empirical study based on military personnel and civilians working at the Dutch Ministry of Defence. It yields insight into how Autonomous Weapons are perceived by the military and general public; and which moral values are considered important in relation to their deployment. The research approach used is the Value-Sensitive Design (VSD) method that allows for the consideration of human values throughout the design process of technology. The outcome indicates that military personnel and civilians attribute more agency (the capacity to think and plan) to an Autonomous Weapon than to a Human Operated Drone. In addition, it is clear that common ground exists between military and societal groups in their perception of the values of human dignity and anxiety. These two values arise often in the discourse, and addressing them is essential when considering the ethics of the deployment of Autonomous Weapons. The text of this volume is also offered in parallel French and German translation.

Randomized response is a data collection strategy specifically designed for surveys of a sensitive nature. By establishing a probabilistic connection between question and answer, randomized response and related methods protect respondents who are asked to disclose personal information. Covering a half century of theoretical and applied research, the Second Edition significantly updates and expands what was, at the time, the first comprehensive and practical guide to randomized response.

This state-of-the-art volume provides insight into the recent developments in survey research. It covers topics like: survey modes and response effects, bio indicators and paradata, interviewer and survey error, mixed-mode panels, sensitive questions, conducting web surveys and access panels, coping with non-response, and handling missing data. The authors are leading scientists in the field, and discuss the latest methods and challenges with respect to these topics. Each of the book’s eight parts starts with a brief chapter that provides an historical context along with an overview of today’s most critical survey methods. Chapters in the sections focus on research applications in practice and discuss results from field studies. As such, the book will help researchers design surveys according to today’s best practices. The book’s website www.survey-methodology.de provides additional information, statistical analyses, tables and figures. An indispensable reference for practicing researchers and methodologists or any professional who uses surveys in their work, this book also serves as a supplement for graduate or upper level-undergraduate courses on survey methods taught in psychology, sociology, education, economics, and business. Although the book focuses on European findings, all of the research is discussed with reference to the entire survey-methodology area, including the US. As such, the insights in this book will apply to surveys conducted around the world.

Design is everywhere. It influences how we live, what we wear, how we communicate, what we buy, and how we behave. To design for the real world and define strategies rather than just implement them, you need to learn how to understand and solve complex, intricate and often unexpected problems. Research for Designers is the guide to this new, evidence-based creative process for anyone doing research in Design Studies or looking to develop their design research skills. The book: Takes an organized approach to walking you through the basics of research. Highlights the importance of data. Encourages you to think in a cross-disciplinary way. Including interviews with 10 design experts from across the globe, this guide helps you put theory into practice and conduct successful design research.

These Guidelines represent the first attempt to provide international recommendations on collecting, publishing, and analysing subjective well-being data.