| Abstract |
| This study aimed to develop a Korean emotion vocabulary list that functions as an important tool in understanding human feelings. In doing so, the focus was on the careful extraction of most widely used feeling words, as well as categorization into groups of emotion(s) in relation to its meaning when used in real life. A total of 12 professionals (including Korean major graduate students) partook in the study. Using the Korean ``word frequency list`` developed by Yonsei University and through various sorting processes, the study condensed the original 64,666 emotion words into a finalized 504 words. In the next step, a total of 80 social work students evaluated and classified each word for its meaning and into any of the following categories that seem most appropriate for inclusion: ``happiness``, ``sadness``, ``fear``, ``anger``, ``disgust``, ``surprise``, ``interest``, ``boredom``, ``pain``, ``neutral``, and ``other``. Findings showed that, of the 504 feeling words, 426 words expressed a single emotion, whereas 72 words reflected two emotions (i.e., same word indicating two distinct emotions), and 6 words showing three emotions. Of the 426 words that represent a single emotion, ``sadness`` was predominant, followed by ``anger`` and ``happiness``. Amongst 72 words that showed two emotions were mostly a combination of ``anger`` and ``disgust``, followed by ``sadness`` and ``fear``, and ``happiness`` and ``interest``. The significance of the study is on the development of a most adaptive list of Korean feeling words that can be meticulously combined with other emotion signals such as facial expression in optimizing emotion recognition research, particularly in the Human-Computer Interface (HCI) area. The identification of feeling words that connote more than one emotion is also noteworthy. |
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| Key Words |
| 감정표현어휘, 어휘추출, 감정가, 개별감정, 감정인식, emotion vocabulary, word extraction, valence, discrete emotion, emotion recognition |
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