Risk Communication A Mental Models Approach [Paperback]

Thisbook explains how to develop more effective risk communications using the Carnegie Mellon mental-model approach.This book explains how to develop more effective risk communications using the Carnegie Mellon mental-model approach. Such communications are designed to contain, in readily usable form, the information that people need to make informed decisions about risks to health, safety, and the environment. The approach draws together methods from the natural and social sciences, and examples are included from a variety of disciplines.This book explains how to develop more effective risk communications using the Carnegie Mellon mental-model approach. Such communications are designed to contain, in readily usable form, the information that people need to make informed decisions about risks to health, safety, and the environment. The approach draws together methods from the natural and social sciences, and examples are included from a variety of disciplines.This book explains how to develop more effective risk communications using the Carnegie Mellon mental-model approach. Such communications are designed to contain, in readily usable form, the information that people need to make informed decisions about risks to health, safety, and the environment. The approach draws together methods from the natural and social sciences, providing a framework for interdisciplinary collaboration. It is demostrated with varied examples including electromagnetic fields, climate change, radon, and sexually transmitted diseases.1. Introduction; 2. The Carnegie Mellon mental models approach; 3. Creating an expert model of the risk; 4. Mental model interviews; 5. Confirmatory questionnaires; 6. Development and evaluation of communications; 7. Case studies: applications to environmental risks; 8. A mental models approach to HIV/AIDS; 9. Some concluding remarks; Appendices.'The authors' idea of expert models of risk & is a very useful one, both for practitioners and academics doinl#&