1 In the classic educational context, observing and identifying learner's emotional response allow the teacher to adapt the lesson, with the aim of improving the quality of th...
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
: In computing design, experience is often broken down, compartmentalized, and engineered: a process that often disenchants the original experience. In this paper, we demonstrate t...
Phoebe Sengers, Kirsten Boehner, Michael Mateas, G...
Although emotions elicited by the fictional world or the artefact play a part in story-driven video games, they are certainly not the focus of the experience. From a cognitive psy...
This paper focuses on how capabilities to interpret another agent's emotions, and their biological realisation can be modelled. First a cognitive and a biological agent model...