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View all- Mizgajski JMorzy M(2019)Affective recommender systems in online news industryUser Modeling and User-Adapted Interaction10.1007/s11257-018-9213-x29:2(345-379)Online publication date: 25-May-2019
We explored the reliability of detecting a learner's affect from conversational features extracted from interactions with AutoTutor, an intelligent tutoring system (ITS) that helps students learn by holding a conversation in natural language. Training ...
Affective Computing field is in its second decade and is showing great achievements and promising results. Affective computing is mainly related to detecting and modifying a person's affective state. This paper presents a review on the fields of emotion ...
Affect and emotion play an important role in our everyday lives: they are present whatever we do, wherever we are, wherever we go, without us being aware of them for much of the time. When it comes to interaction, be it with humans, technology, or ...
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