The concept of ambiguity tolerance (TA), variously called Uncertainty Avoidance, Ambiguity Avoidance, or Intolerance, can be traced back nearly 70 years. It has been investigated by many different types of researchers from clinical and differential, to neuro- and work psychologists. Each sub-discipline has tended to focus on how their variable relates to beliefs and behaviors in their area of expertise, from religious beliefs to reactions to novel products and situations. The basic concept is that people may be understood on a dimension that refers to their discomfort with, and hence attempts to avoid, ambiguity or uncertainty in many aspects of their lives. There have been many attempts to devise robust and valid measures of this dimension, most of which are highly inter-correlated and require self-reporting. There remains a debate as to whether it is useful having just one or more dimensions/facets of the concept. Using these tests, there have been many correlational studies that have sought to validate the measure by looking at how those high and low on this dimension react to different situations. There have also been some, but many fewer, experimental studies, which have tested very specific hypotheses about how TA is related to information processing and reactions to specific stimuli. There is now a welcomed interest by neuroscientists to explore the concept from their perspective and using their methodologies. These studies have been piecemeal, though most have supported the tested hypotheses. There has been less theoretical development, however, of the concept attempting to explain how these beliefs arise, what sustains them, and how, why, and when they may change. However, the concept has continued to interest researchers from many backgrounds, which attests to its applicability, fecundity, and novelty.
Scientific advances, technological development, and changes in risk consciousness have led to stronger demands on society to manage and control various kinds of risks. Risks should be assessed, prevented, controlled, and communicated in order to prevent negative impacts. Risks related to the environment and health are probably some of the most research-dependent examples. It is primarily scientific experts that provide knowledge to authorities, organizations, and citizens about environmental and health risks and thus exert considerable influence on the understanding and management of risk. At the same time, there are actors in society—especially citizen and interest organizations—that question whether risk regulation is reliable and relevant. There are also demands that citizens should have more transparency and control over risk regulation. The current situation is characterized thus by a paradox: Issues relating to environment and health are seen as increasingly expert dependent while citizens simultaneously demand increased influence over them. This development is especially noticeable in the European Union, with its strong emphasis on the rights of citizen and consumers to have access to information about risk and also opportunities to influence their regulation. In response to this situation, risk governance has been put forward. It refers to a body of ideas for how to more responsibly and efficiently deal with complex risks issues, where there are different interests and standpoints about how to regulate them. Fundamental ideas of risk governance are openness, transparency, participation, inclusion, deliberation, and reflexivity; that experts involved should be open to questioning the situation; should not conceal issues of uncertainty and pluralism (that there exist different legitimate understandings, evaluations, and recommendations); and should be receptive to the input and participation of other stakeholders. This means that risk regulation should no longer be organized into three discrete activities: risk assessment, risk management, and risk communication (aiming at a one-way transfer of knowledge from the regulators to the public).
Hye-Jin Paek and Thomas Hove
Risk perception refers to people’s subjective judgments about the likelihood of negative occurrences such as injury, illness, disease, and death. Risk perception is important in health and risk communication because it determines which hazards people care about and how they deal with them. Risk perception has two main dimensions: the cognitive dimension, which relates to how much people know about and understand risks, and the emotional dimension, which relates to how they feel about them. Several theoretical models have been developed to explain how people perceive risks, how they process risk information, and how they make decisions about them: the psychometric paradigm, the risk perception model, the mental noise model, the negative dominance model, the trust determination model, and the social amplification of risk framework. Laypeople have been found to evaluate risks mostly according to subjective perceptions, intuitive judgments, and inferences made from media coverage and limited information. Experts try to base their risk perceptions more on research findings and statistical evidence. Risk perceptions are important precursors to health-related behaviors and other behaviors that experts recommend for either dealing with or preventing risks. Models of behavior change that incorporate the concept of risk perception include the Health Belief Model, Protection Motivation Theory, the Extended Parallel Process Model, and the Risk Perception Attitude framework. Public awareness and perceptions of a risk can be influenced by how the media cover it. A variety of media factors have been found to affect the public’s risk perceptions, including the following: (1) amount of media coverage; (2) frames used for describing risks; (3) valence and tone of media coverage; (4) media sources and their perceived trustworthiness; (5) formats in which risks are presented; and (6) media channels and types. For all of these media factors, albeit to varying degrees, there is theoretical and empirical support for their relevance to risk perceptions. Particularly related to media channels and genres, two hypotheses have emerged that specify different kinds of media influences. The impersonal impact hypothesis predicts that news media mainly influence how people see risks as affecting other individuals, groups, nations, or the world population in general (societal-level risk perceptions). By contrast, the differential impact hypothesis predicts that, while news media influence people’s societal-level risk perceptions, entertainment media have stronger effects on how people see risks as affecting themselves (personal-level risk perceptions). As the media environment become increasingly diverse and fragmented, future research on risk perception needs to examine more of the influences that various media, including social media, have on risk perception. Also, the accounts of how those influences work need to be further refined. Finally, since people’s risk perceptions lead them to either adopt or reject recommended health behaviors, more research needs to examine how risk perceptions are jointly affected by media, audience characteristics, and risk characteristics.