Viktor Richter
Franz Kummert
ABSTRACT
Intelligent agents need to perceive and correctly interpret the social signals of their interaction partners. In order to support the development of these skills, we establish a process of long-term data acquisition, annotation and continuous model evaluation. We facilitate automatic recording and annotation of unconstrained, multicentric interactions in a smart environment. Finally, we simplify manual ground truth annotation and allow continuous evaluation of our recognition models on a growing set of interactions.
- Oliver Brdiczka, Jérôme Maisonnasse, and Patrick Reignier . 2005. Automatic detection of interaction groups. In ACM International Conference on Multimodal Interaction (ICMI '05). Google Scholar
Digital Library
- Hennie Brugman and Albert Russel . 2009. Annotating multi-media / multi-modal resources with ELAN Int. Conf. on Lang. Resources and Evaluation (LREC '09).Google Scholar
- Patrick Holthaus, Christian Leichsenring, Jasmin Bernotat, Viktor Richter, Marian Pohling, Birte Carlmeyer, Norman Köster, Sebastian Meyer zu Borgsen, Birte Zorn, Rene Schiffhauer, Kai Frederic Engelmann, Florian Lier, Simon Schulz, Philipp Cimiano, Friederike Eyssel, Franz Kummert, Thomas Herrmann, David Schlangen, Ulrich Rückert, Sven Wachsmuth, Britta Wrede, and Sebastian Wrede . 2016. How to Address Smart Homes with a Social Robot? A Multi-modal Corpus of User Interactions with an Intelligent Environment. In International Conference on Language Resources and Evaluation (LREC '16).Google Scholar
- Adam Kendon . 2010. Spacing and Orientation in Co-present Interaction. 1--15.Google Scholar
- Bilge Mutlu, Toshiyuki Shiwa, Takayuki Kanda, Hiroshi Ishiguro, and Norihiro Hagita . 2009. Footing in human-robot conversations. In International Conference on Human Robot Interaction (HRI '09). Google ScholarDigital Library
Index Terms
- Continuous Interaction Data Acquisition and Evaluation: A Process Applied within a Smart, Robot Inhabited Apartment
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