It was clearly stated that the participants needed to rate the likelihood of occurrence of each of the features when somebody who speaks their language describes an emotional experience with the emotion terms presented.
We did not directly assess whether these discrete emotions were evoked in participants, thus the emotion terms are intended to label emotional events consistent with the context in which they occur, according to the appraisal theory of emotions [29].
This research also explored how psychological traits related to emotional eating affected the emotion responses and found that in general higher emotional eaters selected a higher number of emotion terms (positive and negative).
And immediately following that: Given the lack of agreement in the community, EmotionML does not provide a single vocabulary of emotion terms, but gives users a choice to select the most suitable emotion vocabulary in their annotations.
The participants then did the "reading the mind in the eyes" test, in which they were asked to select which of four emotion terms most closely matches the expression of a person in a photograph.
The frequency and intensity of positive emotion terms was generally higher with more appropriate contexts, decreasing with the appropriateness ratings (and vice versa for the negative emotion terms).
In addition, the impact of perceived appropriateness was asymmetrical, having a stronger impact on positive than on negative emotion terms.
As Wierzbicka (1992) observes, emotion terms are semantically diverse and cannot be neatly matched with concepts in other languages or cultures.
