Emotional speech: towards a new generation of databases
Speech Communication - Special issue on speech and emotion
Review: The role of emotion in computer-mediated communication: A review
Computers in Human Behavior
Emotions in direct and remote social interaction: Getting through the spaces between us
Computers in Human Behavior
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Data mining emotion in social network communication: Gender differences in MySpace
Journal of the American Society for Information Science and Technology
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The study is on the 'working emotion vocabulary', i.e., words easily accessed when people are asked to list emotions. Participants (N 1146, 65.9% women, 15-30 year-olds), in an on-line task, listed 621 distinct words; 21 words were listed by 10%-65% (including joy, happiness, sadness, fear, anger, by 50% at least), 93 by 2%-9% (not including 'errors', e.g., naming eliciting events), 507 by 1%. In sum, most listed words did refer to emotions and showed great variability. Women supplied more 'Correct' Emotion Words (CEW) than men. The active (CEW) and the 'passive' vocabulary (e.g., ability to recognize synonyms of emotion targets) were uncorrelated. Production of negative (4,95) and positive (3,76) CEW was significantly associated with emotion-related abilities and traits --- e.g., recognition of facial expressions of emotions, expressive transparency, awareness of emotions, life satisfaction, loneliness, alexithymia and health. The results have implications for emotion communication and understanding.