Abstract
Little is known about how older persons determine if someone deserves their trust or not based on their facial appearance, a process referred to as “facial trustworthiness.”In the past few years, Todorov and colleagues have argued that, in young adults, trustworthiness judgments are an extension of emotional judgments, and therefore, that trust judgments are made based on a continuum between anger and happiness (Todorov, 2008; Engell et al., 2010). Evidence from the literature on emotion processing suggest that older adults tend to be less efficient than younger adults in the recognition of negative facial expressions (Calder et al., 2003; Firestone et al., 2007; Ruffman et al., 2008; Chaby and Narme, 2009). Based on Todorov';s theory and the fact that older adults seem to be less efficient than younger adults in identifying emotional expressions, one could expect that older individuals would have different representations of trustworthy faces and that they would use different cues than younger adults in order to make such judgments. We verified this hypothesis using a variation of Mangini and Biederman's (2004) reverse correlation method in order to test and compare classification images resulting from trustworthiness (in the context of money investment), from happiness, and from anger judgments in two groups of participants: young adults and older healthy adults. Our results show that for elderly participants, both happy and angry representations are correlated with trustworthiness judgments. However, in young adults, trustworthiness judgments are mainly correlated with happiness representations. These results suggest that young and older adults differ in their way of judging trustworthiness.
Highlights
Recognizing someone’s intentions based on available facial information is a task performed on a daily basis
A meta-analysis covering 17 studies on facial expression recognition in aging has shown that anger, sadness and fear are less accurately recognized in elderly adults than in younger adults, disgust seems to be or even better recognized in elderly participants when compared to younger adults (Ruffman et al, 2008)
For each condition and for each individual, we subtracted the sum of the standardized Gaussian noise fields of 128 × 128 pixels of all rejected stimuli from the sum of the standardized Gaussian noise fields of 128 × 128 pixels of all chosen stimuli (e.g., DupuisRoy and Gosselin, 2007), obtaining a total of three individual classification images (CI) of 128 × 128 pixels
Summary
Recognizing someone’s intentions based on available facial information is a task performed on a daily basis. Tehan and Blanchard-Fields (2008) tested a group of young adults and a group of elderly on their ability to detect deceit using interviews (crime and opinion topics) presented in three conditions: audio only, visual only and audio-visual Their results show that older adults are, overall, less efficient than younger adults in detecting deceit. The authors suggest that their results could be explained by a difference between younger adults and older adults in their ability to recognize facial expressions of emotions, negative facial expressions of emotions such as fear and shame. This hypothesis finds support in the emotion recognition literature regarding normal aging. A meta-analysis covering 17 studies on facial expression recognition in aging has shown that anger, sadness and fear are less accurately recognized in elderly adults than in younger adults, disgust seems to be or even better recognized in elderly participants when compared to younger adults (Ruffman et al, 2008)
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