Unfamiliar voice identification is error-prone (Smith et al., 2019; Smith & Baguley, 2014). However, in cases like masked attacks, witnesses might be required to identify a perpetrator from a voice parade. Despite the high risk of wrongful convictions, voice identification evidence can constitute determinative evidence in court (Van Wallendael et al., 1994).
In this project we will test an innovative method of administering voice parades, which provides nuanced information about suspect guilt by replacing categorical witness decisions with speeded self-rated confidence judgments about each voice. This approach has been extremely effective in the context of face identification (Brewer et al., 2012; Brewer & Doyle, 2021), but has never been tested in voice identification.