Add to ORKGWe present a corpus of spoken dialogues between students and an adaptive Wizard-of-Oz tutoring system, in which student uncertainty was manually annotated in real-time. We detail the corpus contents, including speech files, transcripts, annotations, and log files, and we discuss possible future uses by the computational linguistics community as a novel resource for studying naturally occurring user affect and adaptation in complex spoken dialogue systems
The eld of human emotion expression has become increasingly important for engineers due to the poten...
We use χ2 to investigate the context dependency of student affect in our computer tutoring dialogues...
The speech medium is more than an audio conveyance of word strings. It contains meta information abo...
We present a corpus of spoken dialogues between students and an adaptive Wizard-of-Oz tutoring syste...
We present a corpus of spoken dialogues between students and an adaptive Wizard-of-Oz tutoring syste...
We describe the design and evaluation of two different dynamic student uncertainty adaptations in wi...
We evaluate the performance of a spoken dialogue system that provides substantive dynamic responses ...
We evaluate the performance of a spoken dialogue system that provides substantive dynamic responses ...
We use a χ2 analysis on our spoken dialogue tutoring corpus to investigate dependencies between unce...
Abstract. We use a χ 2 analysis on our spoken dialogue tutoring corpus to investigate dependencies b...
A major challenge in the field of automatic recognition of emotion and affect in speech is the subje...
A major challenge in the field of automatic recognition of emotion and affect in speech is the subje...
Motivated by prior spoken dialogue system research in user modeling, we analyze interactions between...
This study presents an approach for developing more empirically motivated affective dialogue tutoria...
Uncertainty is ubiquitous in natural human communication. Human listeners assess the speaker’s degre...
The eld of human emotion expression has become increasingly important for engineers due to the poten...
We use χ2 to investigate the context dependency of student affect in our computer tutoring dialogues...
The speech medium is more than an audio conveyance of word strings. It contains meta information abo...
We present a corpus of spoken dialogues between students and an adaptive Wizard-of-Oz tutoring syste...
We present a corpus of spoken dialogues between students and an adaptive Wizard-of-Oz tutoring syste...
We describe the design and evaluation of two different dynamic student uncertainty adaptations in wi...
We evaluate the performance of a spoken dialogue system that provides substantive dynamic responses ...
We evaluate the performance of a spoken dialogue system that provides substantive dynamic responses ...
We use a χ2 analysis on our spoken dialogue tutoring corpus to investigate dependencies between unce...
Abstract. We use a χ 2 analysis on our spoken dialogue tutoring corpus to investigate dependencies b...
A major challenge in the field of automatic recognition of emotion and affect in speech is the subje...
A major challenge in the field of automatic recognition of emotion and affect in speech is the subje...
Motivated by prior spoken dialogue system research in user modeling, we analyze interactions between...
This study presents an approach for developing more empirically motivated affective dialogue tutoria...
Uncertainty is ubiquitous in natural human communication. Human listeners assess the speaker’s degre...
The eld of human emotion expression has become increasingly important for engineers due to the poten...
We use χ2 to investigate the context dependency of student affect in our computer tutoring dialogues...
The speech medium is more than an audio conveyance of word strings. It contains meta information abo...