Judgment and decision-making;
Bayesian modeling;
Expertise;
Wisdom of crowds;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
Forensic handwriting examiners currently testify to the origin of questioned handwriting for legal purposes. However, forensic scientists are increasingly being encouraged to assign probabilities to their observations in the form of a likelihood ratio. This study is the first to examine whether handwriting experts are able to estimate the frequency of US handwriting features more accurately than novices. The results indicate that the absolute error for experts was lower than novices, but the size of the effect is modest, and the overall error rate even for experts is large enough as to raise questions about whether their estimates can be sufficiently trustworthy for presentation in courts. When errors are separated into effects caused by miscalibration and those caused by imprecision, we find systematic differences between individuals. Finally, we consider several ways of aggregating predictions from multiple experts, suggesting that quite substantial improvements in expert predictions are possible when a suitable aggregation method is used.
机构:
Brigham & Womens Hosp, 75 Francis St, Boston, MA 02115 USA
Harvard Med Sch, Cambridge, MA 02138 USABrigham & Womens Hosp, 75 Francis St, Boston, MA 02115 USA
Wolfe, Jeremy M.
Wu, Chia-Chien
论文数: 0引用数: 0
h-index: 0
机构:
Brigham & Womens Hosp, 75 Francis St, Boston, MA 02115 USA
Harvard Med Sch, Cambridge, MA 02138 USABrigham & Womens Hosp, 75 Francis St, Boston, MA 02115 USA
Wu, Chia-Chien
Li, Jonathan
论文数: 0引用数: 0
h-index: 0
机构:
Melbourne Med Sch, Melbourne, Vic, AustraliaBrigham & Womens Hosp, 75 Francis St, Boston, MA 02115 USA
Li, Jonathan
Suresh, Sneha B.
论文数: 0引用数: 0
h-index: 0
机构:
Brigham & Womens Hosp, 75 Francis St, Boston, MA 02115 USABrigham & Womens Hosp, 75 Francis St, Boston, MA 02115 USA