“…Over the years, research on cue‐based performance has gained more attention as scholars continue to explore the critical cues upon which experts base their judgement. In both judgement and decision‐making (JDM) and naturalistic decision‐making (NDM) literatures, scholars have proposed possible ways through which cue‐based learning could be improved for training purposes (Crandall & Gretchell‐Leiter, ; Klein, ; Lamb, Davies, Bowley, & Williams, ; O'Hare, Wiggins, Williams, & Wong, ; Okoli, Weller, Watt, & Wong, ; Perry & Wiggins, ; Spence & Brucks, ; Wiggins & O'Hare, ; Wong, ). Specifically, some of the studies in JDM literature have utilized a cue‐based learning approach known as multiple‐cue probability learning (MCPL) to explain how decision‐makers make sense of information accruing from task‐related cues (Castellan, ; Juslin, Jones, Olsson, & Winman, ; Newell, Lagnado, & Shanks, ; Steinmann, ).…”