113 citations · 159 across the 14 of their papers we have counts for
14 papers
SCOUT: A Situated and Multi-Modal Human-Robot Dialogue Corpus
Stephanie M. Lukin, Claire Bonial, Matthew Marge +14
We introduce the Situated Corpus Of Understanding Transactions (SCOUT), a multi-modal collection of human-robot dialogue in the task domain of collaborative exploration. The corpus…
Human-Robot Dialogue Annotation for Multi-Modal Common Ground
Claire Bonial, Stephanie M. Lukin, Mitchell Abrams +11
In this paper, we describe the development of symbolic representations annotated on human-robot dialogue data to make dimensions of meaning accessible to autonomous systems partici…
Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community
Casey Kennington, Malihe Alikhani, Heather Pon-Barry +20
The ability to interact with machines using natural human language is becoming not just commonplace, but expected. The next step is not just text interfaces, but speech interfaces…
DOROTHIE: Spoken Dialogue for Handling Unexpected Situations in Interactive Autonomous Driving Agents
Ziqiao Ma, Ben VanDerPloeg, Cristian-Paul Bara +5
In the real world, autonomous driving agents navigate in highly dynamic environments full of unexpected situations where pre-trained models are unreliable. In these situations, wha…
Decision-Theoretic Question Generation for Situated Reference Resolution: An Empirical Study and Computational Model
Felix Gervits, Gordon Briggs, Antonio Roque +4
Dialogue agents that interact with humans in situated environments need to manage referential ambiguity across multiple modalities and ask for help as needed. However, it is not cl…
How Should Agents Ask Questions For Situated Learning? An Annotated Dialogue Corpus
Felix Gervits, Antonio Roque, Gordon Briggs +2
Intelligent agents that are confronted with novel concepts in situated environments will need to ask their human teammates questions to learn about the physical world. To better un…