no code implementations • SIGDIAL (ACL) 2022 • Benjamin Kane, Felix Gervits, Matthias Scheutz, Matthew Marge
We evaluate the system by comparing learning efficiency to a human baseline in a collaborative reference resolution task and show that the system is effective and efficient in learning new concepts, and that it can informatively generate explanations about its behavior.
no code implementations • 1 Apr 2024 • Casey Kennington, Malihe Alikhani, Heather Pon-Barry, Katherine Atwell, Yonatan Bisk, Daniel Fried, Felix Gervits, Zhao Han, Mert Inan, Michael Johnston, Raj Korpan, Diane Litman, Matthew Marge, Cynthia Matuszek, Ross Mead, Shiwali Mohan, Raymond Mooney, Natalie Parde, Jivko Sinapov, Angela Stewart, Matthew Stone, Stefanie Tellex, Tom Williams
The ability to interact with machines using natural human language is becoming not just commonplace, but expected.
1 code implementation • 22 Oct 2022 • Ziqiao Ma, Ben VanDerPloeg, Cristian-Paul Bara, Huang Yidong, Eui-In Kim, Felix Gervits, Matthew Marge, Joyce Chai
To this end, we introduce Dialogue On the ROad To Handle Irregular Events (DOROTHIE), a novel interactive simulation platform that enables the creation of unexpected situations on the fly to support empirical studies on situated communication with autonomous driving agents.
no code implementations • 12 Oct 2021 • Felix Gervits, Gordon Briggs, Antonio Roque, Genki A. Kadomatsu, Dean Thurston, Matthias Scheutz, Matthew Marge
Dialogue agents that interact with humans in situated environments need to manage referential ambiguity across multiple modalities and ask for help as needed.
1 code implementation • SIGDIAL (ACL) 2021 • Felix Gervits, Antonio Roque, Gordon Briggs, Matthias Scheutz, Matthew Marge
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.
no code implementations • 11 Nov 2020 • Matthew Marge, Carol Espy-Wilson, Nigel Ward
Fourth, more powerful adaptation methods are needed, to enable robots to communicate in new environments, for new tasks, and with diverse user populations, without extensive re-engineering or the collection of massive training data.
no code implementations • LREC 2020 • Claire Bonial, Lucia Donatelli, Mitchell Abrams, Stephanie M. Lukin, Stephen Tratz, Matthew Marge, Ron artstein, David Traum, Clare Voss
This paper describes a schema that enriches Abstract Meaning Representation (AMR) in order to provide a semantic representation for facilitating Natural Language Understanding (NLU) in dialogue systems.
no code implementations • NAACL 2019 • Matthew Marge, Stephen Nogar, Cory J. Hayes, Stephanie M. Lukin, Jesse Bloecker, Eric Holder, Clare Voss
This paper presents a research platform that supports spoken dialogue interaction with multiple robots.
no code implementations • WS 2019 • Mitchell Abrams, Luke Gessler, Matthew Marge
We present B. Rex, a dialogue agent for book recommendations.
no code implementations • ACL 2018 • Stephanie M. Lukin, Felix Gervits, Cory J. Hayes, Anton Leuski, Pooja Moolchandani, John G. Rogers III, Carlos Sanchez Amaro, Matthew Marge, Clare R. Voss, David Traum
ScoutBot is a dialogue interface to physical and simulated robots that supports collaborative exploration of environments.
no code implementations • WS 2018 • Stephanie M. Lukin, Kimberly A. Pollard, Claire Bonial, Matthew Marge, Cassidy Henry, Ron Arstein, David Traum, Clare R. Voss
This paper identifies stylistic differences in instruction-giving observed in a corpus of human-robot dialogue.
no code implementations • 17 Oct 2017 • Claire Bonial, Matthew Marge, Ron artstein, Ashley Foots, Felix Gervits, Cory J. Hayes, Cassidy Henry, Susan G. Hill, Anton Leuski, Stephanie M. Lukin, Pooja Moolchandani, Kimberly A. Pollard, David Traum, Clare R. Voss
We describe the adaptation and refinement of a graphical user interface designed to facilitate a Wizard-of-Oz (WoZ) approach to collecting human-robot dialogue data.
no code implementations • WS 2017 • Matthew Marge, Claire Bonial, Ashley Foots, Cory Hayes, Cassidy Henry, Kimberly Pollard, Ron artstein, Clare Voss, David Traum
Robot-directed communication is variable, and may change based on human perception of robot capabilities.
no code implementations • 10 Mar 2017 • Matthew Marge, Claire Bonial, Brendan Byrne, Taylor Cassidy, A. William Evans, Susan G. Hill, Clare Voss
Our overall program objective is to provide more natural ways for soldiers to interact and communicate with robots, much like how soldiers communicate with other soldiers today.