Paradigms for the Construction and Annotation of Emotional Corpora for Real-world Human-Computer-Interaction

摘要

A major building block for the construction of reliable statistical classifiers in the context of affective human computer interaction is the collection of training samples that appropriately reflect the complex nature of the desired patterns. This is especially in this application a non-trivial issue as, even though it is easily agreeable that emotional patterns should be incorporated in future computer operating, it is by far not clear how it should be realized. There are still open questions such as which types of emotional patterns to consider together with their degree of helpfulness for computer interactions and the more fundamental question on what emotions do actually occur in this context. In this paper we start by reviewing existing corpora and the respective techniques for the generation of emotional contents and further try to motivate and establish approaches that enable to gather, identify and categorize patterns of human-computer interaction.