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Seafood ChoiCeS

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<strong>Seafood</strong> Choices: Balancing Benefits and Risks<br />

http://www.nap.edu/catalog/11762.html<br />

SUPPORTING CONSUMER SEAFOOD CONSUMPTION DECISIONS<br />

cific benefit or risk metrics. As discussed in Chapter 6, effectively informing<br />

decision-making requires the use of metrics that consumers can evaluate<br />

and use. A consumer-centered information design and evaluation approach<br />

is needed that makes information “easily available, accurate, and timely”<br />

(Hibbard and Peters, 2003). One approach is to present numerical information<br />

graphically (Hibbard et al., 2002). Consumers should be familiar<br />

with rating systems that represent benefits and risks in a small number of<br />

categories (often five), as is done for crash test ratings (TRB, 2002). The<br />

UK Food Standards Agency (FSA) has proposed “red-amber-green” multiple<br />

traffic light labeling for foods (FSA, 2005, 2006; http://www.food.gov.<br />

uk/foodlabelling/signposting/signpostlabelresearch/).<br />

Graph comprehension depends on experience and expectations, as well<br />

as on the design of the graph in question (Shah and Hoeffner, 2002). Familiarity<br />

with an analog, as in the multiple traffic light system proposed by the<br />

FSA, can aid comprehension. Consumer testing carried out by Navigator for<br />

FSA (FSA, 2005) suggests that the multiple traffic light system helps consumers<br />

choose more nutritious foods, although the system has been criticized<br />

for its simplicity (Fletcher, 2006). Other common graphical approaches<br />

to presenting benefits or risks include “thermometers,” rank-ordered bar<br />

charts, or a more complex graphic embedded in a matrix of benefit and risk<br />

information, as is done by Consumer Reports.<br />

While some of these approaches have been tested empirically, an agency<br />

developing consumer guidance should test prototypes on representative consumers.<br />

A potential problem in presenting benefit and risk metrics together<br />

is that the consumer may misinterpret the relationship between benefit and<br />

risk. For example, consumers are likely to infer that side-by-side thermometers<br />

or bars are directly comparable, even if they are labeled with different<br />

numerical scales.<br />

Formats such as those presented by the committee in Figures 7-2<br />

through 7-4b can serve as suitable advice for consumers who want general<br />

guidance on seafood consumption. However, other consumers may want<br />

specific information for different seafood products. In Navigator’s testing,<br />

consumers preferred additional text to be informational rather than advisory<br />

(FSA, 2005). For these consumers, there is a large family of graphics<br />

that could be used to present choices across a broad range of seafood products.<br />

The committee developed several examples of graphical presentations<br />

of guidance to illustrate possible approaches. In presenting such graphics,<br />

the committee emphasizes its finding that it is not possible to have a single<br />

metric that captures complex benefit-risk relationships. Any sort of score<br />

system is unlikely to capture the inherent uncertainties in what is known<br />

about the underlying benefit-risk trade-offs. Graphical formats should be<br />

carefully and empirically tested to insure that they effectively communicate<br />

with consumers.<br />

Copyright © National Academy of Sciences. All rights reserved.

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