@article{ref1,
title="The precision-bias distinction for evaluating visual decision aids for risk perception",
journal="Medical decision making",
year="2020",
author="Witt, Jessica K.",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="Risk communication is critically important, for both patients and providers. However, people struggle to understand risks because there are inherent biases and limitations to reasoning under uncertainty. A common strategy to enhance risk communication is the use of decision aids, such as charts or graphs, that depict the risk visually. A problem with prior research on visual decision aids is that it used a metric of performance that confounds 2 underlying constructs: precision and bias. Precision refers to a person's sensitivity to the information, whereas bias refers to a general tendency to overestimate (or underestimate) the level of risk. A visual aid is effective for communicating risk only if it enhances precision or, once precision is suitably high, reduces bias. This article proposes a methodology for evaluating the effectiveness of visual decision aids. Empirical data further illustrate how the new methodology is a significant advancement over more traditional research designs.<p /> <p>Language: en</p>",
language="en",
issn="0272-989X",
doi="10.1177/0272989X20943516",
url="http://dx.doi.org/10.1177/0272989X20943516"
}