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On Annotation and Evaluation of Multi-modal Corpora in Affective Human-Computer Interaction
Ist Teil von
Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction, p.35-44
Ort / Verlag
Cham: Springer International Publishing
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
In this paper, we discuss the topic of affective human-computer interaction from a data driven viewpoint. This comprises the collection of respective databases with emotional contents, feasible annotation procedures and software tools that are able to conduct a suitable labeling process. A further issue that is discussed in this paper is the evaluation of the results that are computed using statistical classifiers. Based on this we propose to use fuzzy memberships in order to model affective user state and endorse respective fuzzy performance measures.