The earliest psychometric research was done by psychologists Daniel Kahneman and Amos Tversky, who performed a series of gambling experiments to see how people evaluated probabilities. Research also has found that, whereas risk and benefit tend to be positively correlated across hazardous activities in the world, they are negatively correlated in people's minds and judgements. According to valence theory, positive emotions lead to optimistic risk perceptions whereas negative emotions influence a more pessimistic view of risk. The valence theory of risk perception only differentiates between positive emotions, such as happiness and optimism, and negative ones, such as fear and anger. Research also shows that risk perceptions are influenced by the emotional state of the perceiver. This approach identifies numerous factors responsible for influencing individual perceptions of risk, including dread, novelty, stigma, and other factors. Later work built on this foundation and became the psychometric paradigm. These early works maintained that people use cognitive heuristics in sorting and simplifying information, leading to biases in comprehension. The psychological approach began with research in trying to understand how people process information. Numerous studies have rejected the belief that additional information alone will shift perceptions. While researchers in the engineering school did pioneer research in risk perception, by adapting theories from economics, it has little use in a practical setting. Implied in this assumption is that additional information can help people understand true risk and hence lessen their opinion of danger. This early approach assumed that individuals behave rationally by weighing information before making a decision, and that individuals have exaggerated fears due to inadequate or incorrect information. driving a car) than if they are involuntary (e.g. His major finding was that people will accept risks 1,000 times greater if they are voluntary (e.g. He assumed that society had reached equilibrium in its judgment of risks, so whatever risk levels actually existed in society were acceptable. Starr used a revealed preference approach to find out what risks are considered acceptable by society. Ī key early paper was written in 1969 by Chauncey Starr. The problem, as non-experts perceived it, was a difference between scientific facts and an exaggerated public perception of the dangers. The scientific and governmental communities asked why public perception was against the use of nuclear energy when all the scientific experts were declaring how safe it really was. Fears of both longitudinal dangers to the environment and immediate disasters creating radioactive wastelands turned the public against this new technology. However, public perception shifted against this new technology. The mid 1960s saw the rapid rise of nuclear technologies and the promise of clean and safe energy. The study of risk perception arose out of the observation that experts and lay people often disagreed about how risky various technologies and natural hazards were. 4.1 Social amplification of risk framework.
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