Add to ORKGWe present an annotation scheme for stu-dent emotions in tutoring dialogues. Analy-ses of our scheme with respect to interannota-tor agreement and predictive accuracy indicate that our scheme is reliable in our domain, and that our emotion labels can be predicted with a high degree of accuracy. We discuss issues concerning the implementation of emotion pre-diction and adaptation in the computer tutoring dialogue system we are developing.
Emotion analysis (EA) is a rapidly developing area in computational linguistics. An EA system can be...
Emotion analysis (EA) is a rapidly developing area in computational linguistics. An EA system can be...
Abstract. In an attempt to discover links between learning and emotions, this study adopted an emote...
While human tutors respond to both what a student says and to how the student says it, most tutorial...
While human tutors respond to both what a student says and to how the student says it, most tutorial...
Summary. The recognition of human emotions is a very important task towards im-plementing more natur...
When humans converse they can detect and respond to their interlocutor’s fleeting emotional changes....
This study presents an approach for developing more empirically motivated affective dialogue tutoria...
In this study, we incorporate automatically obtained system/user performance features into machine l...
In this study, we incorporate automatically obtained system/user performance features into machine l...
In this study, we incorporate automatically obtained system/user performance features into machine l...
We hypothesize that student affect is a useful predictor of spoken dialogue system performance, rela...
We hypothesize that student affect is a useful predictor of spoken dialogue system performance, rela...
We hypothesize that student affect is a useful predictor of spoken dialogue system performance, rela...
We evaluate the performance of a spoken dialogue system that provides substantive dynamic responses ...
Emotion analysis (EA) is a rapidly developing area in computational linguistics. An EA system can be...
Emotion analysis (EA) is a rapidly developing area in computational linguistics. An EA system can be...
Abstract. In an attempt to discover links between learning and emotions, this study adopted an emote...
While human tutors respond to both what a student says and to how the student says it, most tutorial...
While human tutors respond to both what a student says and to how the student says it, most tutorial...
Summary. The recognition of human emotions is a very important task towards im-plementing more natur...
When humans converse they can detect and respond to their interlocutor’s fleeting emotional changes....
This study presents an approach for developing more empirically motivated affective dialogue tutoria...
In this study, we incorporate automatically obtained system/user performance features into machine l...
In this study, we incorporate automatically obtained system/user performance features into machine l...
In this study, we incorporate automatically obtained system/user performance features into machine l...
We hypothesize that student affect is a useful predictor of spoken dialogue system performance, rela...
We hypothesize that student affect is a useful predictor of spoken dialogue system performance, rela...
We hypothesize that student affect is a useful predictor of spoken dialogue system performance, rela...
We evaluate the performance of a spoken dialogue system that provides substantive dynamic responses ...
Emotion analysis (EA) is a rapidly developing area in computational linguistics. An EA system can be...
Emotion analysis (EA) is a rapidly developing area in computational linguistics. An EA system can be...
Abstract. In an attempt to discover links between learning and emotions, this study adopted an emote...