2018/10/04 by Matthew Marge, Marge, Matthew, Claire Bonial +25
Computer Science · #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Robotics (cs.RO) #cs.HC #cs.RO
paper · pdf · doi:10.48550/arxiv.1810.02017
Presented at AI-HRI AAAI-FSS, 2018 (arXiv:1809.06606)
arxiv created 2018/10/07 · arxiv updated 2018/10/09
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.