|
ИСТИНА |
Войти в систему Регистрация |
ИСТИНА ЦЭМИ РАН |
||
Classification of affective and social behaviors in public interaction for affective computing and social signal processingстатья
- Авторы: Konstantinova M., Kazimirova E., Perepelkina O.
- Журнал: PeerJ Preprints
- Год издания: 2018
- Первая страница: 1
- Последняя страница: 12
- DOI: 10.7287/peerj.preprints.26729v1
- Аннотация: There are numerous models for affective states classification and social behavior description. Despite proving their reliability, some of these classifications turn out to be redundant, while others — insufficient for certain practical purposes. In this paper we propose a classification describing human behavior in the course of public interaction. We relied on existing literature to adopt the current achievements to a practical task---to automatically detect various aspects of human behavior. Our goal was not to suggest a new universal model describing human behavior, but to create a quite comprehensive list of affective and social behaviors in public interaction. The final list consists of the following seventeen scales: happiness, surprise, anxiety, anger, sadness, disgust, shame, pride, contempt, admiration, self-presentation, self-disclosure, mental effort, friendliness, engagement, pleasure and self-confidence. These scales concern only behavior patterns which can be observed by outside annotator and do not include personal traits or hidden states.
- Добавил в систему: Константинова Мария Витальевна