International Journal of Affective Engineering
Online ISSN : 2187-5413
ISSN-L : 2187-5413
Original Articles
Emotion Recognition through Intentional Context
- Towards Advancing In-game Affect Awareness -
Peter L. IHASZMate KOVACSVictor V. KRYSSANOV
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ジャーナル フリー

2019 年 18 巻 1 号 p. 17-25

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Recently there is a growing need for affect-awareness in computer games. In-game emotion recognition, however, requires applying costly feature extraction methods and/or labor-demanding annotation of large datasets. To make emotion recognition cost-efficient, this study proposes (A) a social relations-directing, “emotion-sensitive” dialogue act model consisting of social acts, and (B) an approach for emotion recognition, utilizing the association strength ratio of emotion types and the proposed acts. In the study, five Japanese in-game dialogues were tagged with labels of emotion types and of social acts. Emotion type-social act co-occurrence was analyzed, and the corresponding association strength ratios were computed. In a validation experiment, the proposed approach was tested, enhancing a baseline emotion classifier's recognition accuracy by 8%.

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© 2018 Japan Society of Kansei Engineering
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