Abstract | ||
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We describe a multi-phased Wizard-of-Oz approach to collecting human-robot dialogue in a collaborative search and navigation task. The data is being used to train an initial automated robot dialogue system to support collaborative exploration tasks. In the first phase, a wizard freely typed robot utterances to human participants. For the second phase, this data was used to design a GUI that includes buttons for the most common communications, and templates for communications with varying parameters. Comparison of the data gathered in these phases show that the GUI enabled a faster pace of dialogue while still maintaining high coverage of suitable responses, enabling more efficient targeted data collection, and improvements in natural language understanding using GUI-collected data. As a promising first step towards interactive learning, this work shows that our approach enables the collection of useful training data for navigation-based HRI tasks. |
Year | Venue | Field |
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2018 | arXiv: Robotics | Training set,Data collection,Interactive Learning,Pace,Control engineering,Natural language understanding,Human–computer interaction,Engineering,Robot,Wizard,Human–robot interaction |
DocType | Volume | Citations |
Journal | abs/1810.02017 | 0 |
PageRank | References | Authors |
0.34 | 0 | 14 |
Name | Order | Citations | PageRank |
---|---|---|---|
Matthew Marge | 1 | 261 | 23.90 |
Claire Bonial | 2 | 232 | 18.02 |
Stephanie M. Lukin | 3 | 93 | 9.96 |
Cory J. Hayes | 4 | 5 | 3.88 |
Ashley Foots | 5 | 0 | 1.01 |
Ron Artstein | 6 | 807 | 59.76 |
Cassidy Henry | 7 | 0 | 1.69 |
Kimberly A. Pollard | 8 | 4 | 3.80 |
Carla Gordon | 9 | 2 | 2.42 |
Felix Gervits | 10 | 4 | 4.38 |
Anton Leuski | 11 | 704 | 64.83 |
Susan G. Hill | 12 | 38 | 5.73 |
Clare R. Voss | 13 | 344 | 29.51 |
David R. Traum | 14 | 1373 | 146.58 |