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8. Towards a Conversational Corpus for Human-Robot Conversations

Author

Cruz-Sandoval, Dagoberto, Eyssel, Friederike Anne, Favela, J., Sandoval, Eduardo, Multu, M., and Tscheligi, M.

Subjects
0209 industrial biotechnology, Computer science, business.industry, media_common.quotation_subject, 020206 networking & telecommunications, 02 engineering and technology, computer.software_genre, Human–robot interaction, 020901 industrial engineering & automation, 0202 electrical engineering, electronic engineering, information engineering, Robot, Corpus based, Conversation, Quality (business), Affect (linguistics), Artificial intelligence, business, computer, Natural language processing, media_common
Abstract

Conversational corpora based on human-human dialogues have often been used for training of data-driven dialogue systems. However, human-human conversations might not be the optimal inputs for machine learning training aims used in HRI. This paper suggests the creation of a conversational corpus based on Human-Robot conversations as input for the training of a dialogue system used in future conversational robots. We propose that the significant differences between Human-Human Conversation (HHC) and Human-Robot Conversation (HRC) in terms of used language and other aspects (e.g., humanlikeness, embodiment, etc.) might affect the quality of the responses from a conversational robot. Hence, the use of HRCs as an input could improve the responses of the robots when the conversational machine learning system is trained using a more realistic model of HRI conversations rather than a HHI model. Future applications of conversational robots in education and health care could be enhanced by using an appropriate HRC corpus.

Published
2017

10. Robot-Ergonomics

Author

Sandoval, Eduardo Benitez, primary, Sosa, Ricardo, additional, and Montiel, Miguel, additional

Published
2018
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