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6 - DEVELOPMENT AND EVALUATION OF COMMUNICATIONS

Published online by Cambridge University Press:  05 June 2012

M. Granger Morgan
Affiliation:
Carnegie Mellon University, Pennsylvania
Baruch Fischhoff
Affiliation:
Carnegie Mellon University, Pennsylvania
Ann Bostrom
Affiliation:
Georgia Institute of Technology
Cynthia J. Atman
Affiliation:
University of Washington
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Summary

Principles

The mental models interviews and follow-up questionnaires typically identify many more misconceptions and gaps in lay knowledge than one can hope to address or fill with a risk communication of modest length. As a result, the first stage in developing a communication is to set priorities. If one had a fully computational expert model and a full set of parameter estimates, then one could compute the impact of providing different pieces of missing information. Specifically, one could compute the percentage of people whose decisions would change as a result of providing each piece of information (Fischhoff, Bostrom, and Quadrel, 1997; Fischhoff, Downs, and Bruine de Bruin, 1998; Merz et al., 1993; Riley, 1998).

Here, we will focus on more heuristic methods. However, the logic is the same. Communications should focus on the facts that will have the greatest impact on the greatest portion of the audience. There is little point in emphasizing a central fact in the expert model if audience members know it already – unless repeating that fact helps to tell a more coherent, memorable, and understandable story. Nor is there much point in filling a common gap if knowing that fact would not change people's overall judgments or actions.

This chapter begins by describing the choices we made in designing our communications regarding radon (Section 6.1.2). It proceeds to general procedures for building messages (6.2). It then offers methods for the evaluation that should be part of any developmental process (6.3), including technical review (6.4), text-based evaluation (6.5), and reader-based evaluation (6.6).

Type
Chapter
Information
Risk Communication
A Mental Models Approach
, pp. 97 - 124
Publisher: Cambridge University Press
Print publication year: 2001

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