Fig 1 - uploaded by Irene Trilla
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a Example of the continuum of sad-happy face morphs used in the emotion perception task. Due to copyright restrictions, the depicted face identity does not correspond to the one used in the study. b Example of a trial of the emotion perception task. The morph level presented was selected on a trial-by-trial basis using a 1-up/1-down adaptive procedure

a Example of the continuum of sad-happy face morphs used in the emotion perception task. Due to copyright restrictions, the depicted face identity does not correspond to the one used in the study. b Example of a trial of the emotion perception task. The morph level presented was selected on a trial-by-trial basis using a 1-up/1-down adaptive procedure

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Research in social cognition has shown that our own emotional experiences are an important source of information to understand what other people are feeling. The current study investigated whether individuals project their own affective states when reading other’s emotional expressions. We used brief autobiographical recall and audiovisual stimuli...

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... Conversely, adults in happy moods did not consistently exhibit a superior recognition of happy facial expressions, though the trends were in that direction (Mast, 2010). More recently, Trilla et al. (2021) investigated how adults project their own affective states onto the interpretation of others' emotional expressions. They found that participants were more likely to classify facial expressions as happy when they reported feeling happy themselves, as opposed to when they felt sad. ...
... Based on the findings of similar studies, positive moods facilitate recall of positive stimuli and making positive judgments about others (Drace et al., 2010). Recently, Trilla et al. (2021) investigated in the same way that adults project their own affective states when reading other's emotional expressions; facial expressions were more readily classified as happy when participants reported feeling happy. They also found that participants were more likely to classify facial expressions as sad when they reported feeling sad themselves, likewise (Trilla et al., 2021). ...
... Recently, Trilla et al. (2021) investigated in the same way that adults project their own affective states when reading other's emotional expressions; facial expressions were more readily classified as happy when participants reported feeling happy. They also found that participants were more likely to classify facial expressions as sad when they reported feeling sad themselves, likewise (Trilla et al., 2021). The data suggest that for children in negative affective states, a negative bias emerged-sad participants recognize sadness more accurately than happiness and emotional neutrality. ...
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... They used brief autobiographical recalls and audio-visual stimuli to induce temporary states of happiness, neutrality, and sadness. After each emotional induction, participants made emotion judgments about ambiguous faces displaying happiness and sadness, and the results indicated the occurrence of self-centered projection (Trilla et al., 2021). In addition, research on the relationship between emotion and decision-making has also attracted researchers' interest. ...
... In intergroup relations research, ingroup favoritism is one of the most classic and robust phenomena (Chen & Li, 2009) and influences the level of social projection (Clement & Krueger, 2002). Previous research has focused on the consequences of ingroup projection, such as the impact of different social group categorizations on social projection or the emotional experiences brought about by ingroup projection (Brinkman & Jacobi, 2020; Trilla et al., 2021). According to the ingroup projection model (Mummendey & Wenzel, 1999), when group members evaluate the group identity of others, how much money they would allocate to the other person (e.g., 30 yuan for themselves and 70 yuan for strangers). ...
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... This result is consistent with past research using very similar methods. Key persons believe that relative to nominees, they are more attracted to others, they listen better to others, and they are more extroverted than others Malloy et al., 2021Trilla et al., 2021). The present results replicate this pattern and extend the focus to dyadic morality. ...
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... Importantly, projection of one's own affective state when interpreting the emotions of others is supported by research. For example, Trilla et al. (2021) observed the phenomenon of emotional egocentricity when participants' affective states were manipulated before an emotion perception task. Participants were more likely to judge faces as sad when they were experiencing sadness as opposed to happiness, indicating that projection affects the perception of facial expressions. ...
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... The observation of egocentric biases extends previous literature on emotional egocentricity by showing that self-projection also occurs during perception-based emotion attribution. A tendency to project one's own emotions onto others is typically indicated by emotion judgments that are biased toward the participants' own affective states, particularly in incongruent conditions (Trilla et al., 2021). These authors suggest that future studies should assess to what extent individuals attribute their own affective states when making emotion judgments in more naturalistic situations where they have access to additional contextual information and more time to correct for egocentric projections. ...
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This study extends the literature on people’s understanding of happiness by asking whether positive and negative events could affect the causal attributions of what makes others happy. Using a factorial survey applied to a representative and probabilistic sample of Chileans, we examined three central causal attributions deeply rooted in Latin American folk culture. The results show that the positive family causal attribution of others’ happiness is reinforced by both negative and positive events that happened to the observer. Moreover, the attributions of health and income are unchanged. Finally, we discussed how this study contributes to understanding people’s causal attributions by examining how they are modified by critical events that affect the observer.