@inproceedings{marge-etal-2017-exploring,
title = "Exploring Variation of Natural Human Commands to a Robot in a Collaborative Navigation Task",
author = "Marge, Matthew and
Bonial, Claire and
Foots, Ashley and
Hayes, Cory and
Henry, Cassidy and
Pollard, Kimberly and
Artstein, Ron and
Voss, Clare and
Traum, David",
editor = "Bansal, Mohit and
Matuszek, Cynthia and
Andreas, Jacob and
Artzi, Yoav and
Bisk, Yonatan",
booktitle = "Proceedings of the First Workshop on Language Grounding for Robotics",
month = aug,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-2808",
doi = "10.18653/v1/W17-2808",
pages = "58--66",
abstract = "Robot-directed communication is variable, and may change based on human perception of robot capabilities. To collect training data for a dialogue system and to investigate possible communication changes over time, we developed a Wizard-of-Oz study that (a) simulates a robot{'}s limited understanding, and (b) collects dialogues where human participants build a progressively better mental model of the robot{'}s understanding. With ten participants, we collected ten hours of human-robot dialogue. We analyzed the structure of instructions that participants gave to a remote robot before it responded. Our findings show a general initial preference for including metric information (e.g., move forward 3 feet) over landmarks (e.g., move to the desk) in motion commands, but this decreased over time, suggesting changes in perception.",
}
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<abstract>Robot-directed communication is variable, and may change based on human perception of robot capabilities. To collect training data for a dialogue system and to investigate possible communication changes over time, we developed a Wizard-of-Oz study that (a) simulates a robot’s limited understanding, and (b) collects dialogues where human participants build a progressively better mental model of the robot’s understanding. With ten participants, we collected ten hours of human-robot dialogue. We analyzed the structure of instructions that participants gave to a remote robot before it responded. Our findings show a general initial preference for including metric information (e.g., move forward 3 feet) over landmarks (e.g., move to the desk) in motion commands, but this decreased over time, suggesting changes in perception.</abstract>
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%0 Conference Proceedings
%T Exploring Variation of Natural Human Commands to a Robot in a Collaborative Navigation Task
%A Marge, Matthew
%A Bonial, Claire
%A Foots, Ashley
%A Hayes, Cory
%A Henry, Cassidy
%A Pollard, Kimberly
%A Artstein, Ron
%A Voss, Clare
%A Traum, David
%Y Bansal, Mohit
%Y Matuszek, Cynthia
%Y Andreas, Jacob
%Y Artzi, Yoav
%Y Bisk, Yonatan
%S Proceedings of the First Workshop on Language Grounding for Robotics
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F marge-etal-2017-exploring
%X Robot-directed communication is variable, and may change based on human perception of robot capabilities. To collect training data for a dialogue system and to investigate possible communication changes over time, we developed a Wizard-of-Oz study that (a) simulates a robot’s limited understanding, and (b) collects dialogues where human participants build a progressively better mental model of the robot’s understanding. With ten participants, we collected ten hours of human-robot dialogue. We analyzed the structure of instructions that participants gave to a remote robot before it responded. Our findings show a general initial preference for including metric information (e.g., move forward 3 feet) over landmarks (e.g., move to the desk) in motion commands, but this decreased over time, suggesting changes in perception.
%R 10.18653/v1/W17-2808
%U https://aclanthology.org/W17-2808
%U https://doi.org/10.18653/v1/W17-2808
%P 58-66
Markdown (Informal)
[Exploring Variation of Natural Human Commands to a Robot in a Collaborative Navigation Task](https://aclanthology.org/W17-2808) (Marge et al., RoboNLP 2017)
ACL
- Matthew Marge, Claire Bonial, Ashley Foots, Cory Hayes, Cassidy Henry, Kimberly Pollard, Ron Artstein, Clare Voss, and David Traum. 2017. Exploring Variation of Natural Human Commands to a Robot in a Collaborative Navigation Task. In Proceedings of the First Workshop on Language Grounding for Robotics, pages 58–66, Vancouver, Canada. Association for Computational Linguistics.