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Developing a Contextualized Multimodal Corpus for Human-Robot Interaction
KTH, Människa-datorinteraktion, MDI.ORCID iD: 0000-0002-3838-253X
KTH, Människa-datorinteraktion, MDI.
KTH, Människa-datorinteraktion, MDI (stängd 20111231).
KTH, Människa-datorinteraktion, MDI.
2006 (English)In: Proceedings of the fifth international conference on language resources and evaluation, 2006, 401-406 p.Conference paper (Refereed)
Abstract [en]

This paper describes the development process of a contextualized corpus for research on Human-Robot Communication. The data have been collected in two Wizard-of-Oz user studies performedwith 22 and 5 users respectively in a scenario that is called the HomeTour. In this scenario the users show the environment (a single room, or a whole floor) to the robot using a combination of speech and gestures. The corpus has been transcribed and annotated with respect to gestures and conversational acts, thus forming a core annotation. We have also annotated or linked other types of data, e.g., laser range finder readings, positioning analysis, questionnaire data and task descriptions that form the annotated context of the scenario. By providing a rich set of different annotated data, thecorpus is thus an important resource both for research on natural language speech interfaces for robots and for research on human-robot communication in general.

Place, publisher, year, edition, pages
2006. 401-406 p.
National Category
Computer and Information Science
URN: urn:nbn:se:sh:diva-26678OAI: diva2:796491
Fifth international conference on Language Resources and Evaluation, LREC2006, Genova

QC 20120120

Available from: 2012-01-13 Created: 2015-03-19 Last updated: 2015-08-31Bibliographically approved

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