Metacognition of emotional face recognition.

While humans are adept at recognizing emotional states conveyed by facial expressions, the current literature suggests that they lack accurate metacognitions about their performance in this domain. This finding comes from global trait-based questionnaires that assess the extent to which an individual perceives him or herself as empathic, as compared to other people. Those who rate themselves as empathically accurate are no better than others at recognizing emotions. Metacognition of emotion recognition can also be assessed using relative measures that evaluate how well a person thinks s/he has understood the emotion in a particular facial display as compared to other displays. While this is the most common method of metacognitive assessment of people's judgments of learning or their feelings of knowing, this kind of metacognition--"relative meta-accuracy"--has not been studied within the domain of emotion. As well as asking for global metacognitive judgments, we asked people to provide relative, trial-by-trial prospective and retrospective judgments concerning whether they would be right or wrong in recognizing the expressions conveyed in particular facial displays. Our question was: Do people know when they will be correct in knowing what expression is conveyed, and do they know when they do not know? Although we, like others, found that global meta-accuracy was unpredictive of performance, relative meta-accuracy, given by the correlation between participants' trial-by-trial metacognitive judgments and performance on each item, were highly accurate both on the Mind in the Eyes task (Experiment 1) and on the Ekman Emotional Expression Multimorph task (in Experiment 2). 2011 APA, all rights reserved