Ecological Interface Design delivers the techniques and examples that provide you with a foundation to succeed in designing advanced display graphics. The opening chapters introduce the "art" of interface design by exposing the analytical methods behind designs, the most common graphical forms, and how these methods and forms are pulled together to create a complete design. The book then incorporates case studies that further emphasize techniques and results. Each example exemplifies a solution to a certain part of the EID puzzle. Some of the examples demonstrate the analysis phase, while others apply more scrutiny to graphical design. Each is unique, allowing allowing you to use them in the development of your own designs. The volume concludes with an analysis that connects ecological interface design with other common interface design methods, enabling you to better understand how to combine approaches in the creation of design solutions.

This book provides a 'how-to' guide for learning Ecological Interface Design. It takes Ecological Interface Design from a fairly complex process and breaks the process down into smaller chunks, providing guidance and tips along the way. The first half of the book focuses on the basics of learning to do EID while the second half focuses on case studies and explores more complex applications of the approach. The first half has three main chapters, the first on Work Domain Analysis, the second on developing visual forms including a visual thesaurus, and the third on using the Work Domain Analysis to develop a design. Each case study is a rich exploration of multiple examples within a particular domain. The case studies show the analysis and the design for the examples, and then discuss the particular challenges of the domain and how they were handled in the various examples. The domains covered are Transportation Systems, Process Control Systems, Medical Systems, Telecommunication Systems, and Social Systems. Finally the book concludes with a discussion of how EID fits in with other methods currently complementary aspects of EID and other methods.; Burns; Catherine University of Waterl

Cognitive systems engineering has been widely and successfully applied in the design of safety critical systems such as nuclear power, aviation, and military command-and-control. More recently, these methods are being applied to the design of health and medical systems in order to improve health care quality, reduce errors and adverse events, and improve efficiencies. Cognitive Systems Engineering in Health Care provides an overview of cognitive systems engineering principles in the context of health care. It contains state-of-the-art examples of cognitive systems applications that can be adapted by health care practitioners interested in systematic engineering approaches to systems improvement. The book highlights current cognitive engineering-oriented research, analyses, and applications in settings such as cardiac surgery, obstetrics, and emergency medicine. It focuses on the impact cognitive engineering analyses can have in supporting communication and coordination with health care teams. The text then demonstrates the use of cognitive engineering methods to inform the design of information technology. It then details the systematic adaptation and application of specific cognitive engineering methods in the medical domain. The book concludes with examples of how in-depth cognitive engineering analyses can lead to demonstrated improvements in health care environments. Through a series of sample studies, the book gives you a deeper understanding of how cognitive engineering approaches might be applied in the health care domain. You'll see common themes that underline the complexity of the health care domain and this insight can build a deep respect for the expertise of the practitioners who work in it. By identifying the abstractions that hold constant in this domain, you can build solutions for that will evolve to handle new applications, challenges, and approaches.

This book constitutes the refereed proceedings of the 13th International Conference on Persuasive Technology, PERSUASIVE 2018, held in Waterloo, ON, Canada, in April 2018. The 21 revised full papers and 4 short papers presented were carefully reviewed and selected from 59 submissions. The papers demonstrate how persuasive technologies can help solve societal issues. They explore new frontiers for persuasive technology, such as personalized persuasion, new sensor usage, uses of big data, and new ways of creating engagement through gaming or social connection, focusing on a variety of technologies (e.g., web, wearables, AI, and smart environments). The papers are organized in the following topical sections: social means to persuasion; nudging and just-in-time interventions; design principles and practices; persuasive games; personalization and tailoring; and theoretical reflections.

Despite continued interest in Cognitive Work Analysis (CWA) techniques for the analysis and design of complex, human-technology systems, few published accounts exist that document all of the five recommended phases of CWA in real world applications. Delineating a work-centered conceptual framework that guides the design of technology, Applications of Cognitive Work Analysis provides the understanding necessary to apply these robust techniques to real world, large scale system design problems in a variety of domains. The book provides a complete CWA analysis for a complex, simulated air traffic control environment and a three phase analysis of an actual healthcare system. It includes detailed applications of work domain, control tasks, and strategies analysis for systems including military command and control, transportation, and emergency management. The contributors present discussions and examples of techniques drawn from research and design traditions other than CWA that can be used to complement and enrich CWA analyses in areas of social and organization analysis, and knowledge and skills analysis. They emphasize important theoretical and application oriented advances in CWA related to the integration of CWA within a larger system design. The concluding chapter examines the progress of CWA as a cognitive engineering tool, then outlines its theoretical underpinnings and a path for the future of this approach. The book demonstrates how these methods can be applied in complex, real world design contexts, subject to constraints of cost, time, and information. It shows the how, when, and where CWA techniques can be integrated into the systems engineering design process and provides concrete evidence for the value that the CWA approach provides in every domain.