UM
2007
Springer
13 years 11 months ago
2007
Springer
Accurately recognizing users’ affective states could contribute to more productive and enjoyable interactions, particularly for task-oriented learning environments. In addition t...
AIHC
2007
Springer
13 years 11 months ago
2007
Springer
Enabling machines to understand emotions and feelings of the human users in their natural language textual input during interaction is a challenging issue in Human Computing. Our w...
AIED
2007
Springer
13 years 11 months ago
2007
Springer
We investigate the relationship between a student’s affect and how he or she chooses to use a simulation problem-solving environment, using quantitative field observations. Withi...
AIED
2007
Springer
13 years 11 months ago
2007
Springer
We investigated the potential of automatic detection of a learner’s affective states from posture patterns and dialogue features obtained from an interaction with AutoTutor, an i...
ACII
2007
Springer
13 years 11 months ago
2007
Springer
We analyze the antecedents of affective states in a simulation problem-solving environment, The Incredible Machine: Even More Contraptions, through quantitative field observations ...
ROMAN
2007
IEEE
13 years 11 months ago
2007
IEEE
–This paper presents a novel affect-sensitive human-robot interaction framework for rehabilitation of children with autism spectrum disorder (ASD) where the robot can detect the ...
ICRA
2007
IEEE
13 years 11 months ago
2007
IEEE
–This paper presents a novel affect-sensitive human-robot interaction framework for rehabilitation of children with autism spectrum disorder (ASD). The overall aim is to enable t...