Representations of perceptions of risks.

Eric J. Johnson · Amos Tversky

179 citations0/0 files storedJournal of Experimental Psychology General

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Risk Perception and Management Decision-Making and Behavioral Economics Categorization, perception, and language

Abstract

The perceptions of risks (e.g., diseases, accidents, natural hazards) is investigated using a multi-task, multi-model approach. We studied the proximities among 18 risks induced by three tasks: judgment of similarity, conditional prediction and dimensional evaluation. The comparative judgments (similarity and prediction) were reasonably close but the dimensional evaluation did not correlate highly with either similarity or prediction. Similarity judgments and conditional predictions appear to be represented best by tree models, which are based on discrete features, while the dimensional evaluations are better explained by spatial models, such as multidimensional scaling and factor analysis. We discuss the implications of these results for the study of mental representation and for the analysis of risk perception. (Author)

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References

1977Features of similarity.1978How safe is safe enough? A psychometric study of attitudes towards technological risks and benefits 1970Applied factor analysis 1983Affect, generalization, and the perception of risk.1969Social Benefit versus Technological Risk 1980Facts and Fears: Understanding Perceived Risk 1980Multidimensional Scaling, Tree-Fitting, and Clustering 1983Societal Risk Assessment: How Safe is Safe Enough?

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