Designing Focused and Efficient Annotation Tools

The creation of large, richly annotated, multimodal corpora of human interactions is an expensive and time consuming task. Support from annotation tools that make the annotation process more efficient is required, especially if the annotation effort involves really large amounts of data. Therefore we investigated how different properties of specific annotation tasks can have an impact on the design of a tool focused on that general class of tasks. In this paper we present our view on the considerations that should drive the design of new tools geared to specific tasks. The main dimensions that we consider are: observation vs interpretation, explicit and implicit input layers, segmentation, feedback, constraints, relations and the content of the annotation elements.