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78
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AIED
2009
Springer
15 years 2 months ago
Cohesion Relationships in Tutorial Dialogue as Predictors of Affective States
We explored the possibility of predicting learners’ affective states (boredom, flow/engagement, confusion, and frustration) by monitoring variations in the cohesiveness of tutori...
Sidney K. D'Mello, Nia Dowell, Arthur C. Graesser
CAISE
2011
Springer
14 years 1 months ago
Supporting Dynamic, People-Driven Processes through Self-learning of Message Flows
Abstract. Flexibility and automatic learning are key aspects to support users in dynamic business environments such as value chains across SMEs or when organizing a large event. Pr...
Christoph Dorn, Schahram Dustdar
93
Voted
AAAI
2004
14 years 11 months ago
SCoT: A Spoken Conversational Tutor
We describe SCoT, a Spoken Conversational Tutor, which has been implemented in order to investigate the advantages of natural language in tutoring, especially spoken language. SCo...
Karl Schultz, Brady Clark, Heather Pon-Barry, Eliz...
NIPS
1996
14 years 10 months ago
Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning
Model learning combined with dynamic programming has been shown to be e ective for learning control of continuous state dynamic systems. The simplest method assumes the learned mod...
Jeff G. Schneider
LREC
2008
128views Education» more  LREC 2008»
14 years 11 months ago
On the Role of the NIMITEK Corpus in Developing an Emotion Adaptive Spoken Dialogue System
This paper reports on the creation of the multimodal NIMITEK corpus of affected behavior in human-machine interaction and its role in the development of the NIMITEK prototype syst...
Milan Gnjatovic, Dietmar Rösner