Spoken language interaction with robots: Recommendations for future research

dc.contributor.authorMarge, Matthew
dc.contributor.authorEspy-Wilson, Carol
dc.contributor.authorWard, Nigel G.
dc.contributor.authorAlwan, Abeer
dc.contributor.authorMatuszek, Cynthia
dc.contributor.authoret al
dc.date.accessioned2023-04-25T20:37:07Z
dc.date.available2023-04-25T20:37:07Z
dc.date.issued2021-07-13
dc.descriptionAuthors: Matthew Marge, Carol Espy-Wilson, Nigel G. Ward, Abeer Alwan, Yoav Artzi, Mohit Bansal, Gil Blankenship, Joyce Chai, Hal Daumé III, Debadeepta Dey, Mary Harper, Thomas Howard, Casey Kennington, Ivana Kruijff-Korbayová, Dinesh Manocha, Cynthia Matuszek, Ross Mead, Raymond Mooney, Roger K. Moore, Mari Ostendorf, Heather Pon-Barry, Alexander I. Rudnicky, Matthias Scheutz, Robert St. Amant, Tong Sun, Stefanie Tellex, David Traum, Zhou Yuen_US
dc.description.abstractWith robotics rapidly advancing, more effective human–robot interaction is increasingly needed to realize the full potential of robots for society. While spoken language must be part of the solution, our ability to provide spoken language interaction capabilities is still very limited. In this article, based on the report of an interdisciplinary workshop convened by the National Science Foundation, we identify key scientific and engineering advances needed to enable effective spoken language interaction with robotics. We make 25 recommendations, involving eight general themes: putting human needs first, better modeling the social and interactive aspects of language, improving robustness, creating new methods for rapid adaptation, better integrating speech and language with other communication modalities, giving speech and language components access to rich representations of the robot’s current knowledge and state, making all components operate in real time, and improving research infrastructure and resources. Research and development that prioritizes these topics will, we believe, provide a solid foundation for the creation of speech-capable robots that are easy and effective for humans to work with.en_US
dc.description.sponsorshipWe thank Tanya Korelsky and the National Science Foundation, United States of America for initiating our discussions and for support, via Grant #IIS-1941541. We also thank the government observers at the workshop for their contributions to the discussions: Jonathan Fiscus, Susan G. Hill, Nia Peters, Erion Plaku, Christopher Reardon, and Clare Voss. We also thank Erin Zaroukian for further discussion.en_US
dc.description.urihttps://www.sciencedirect.com/science/article/pii/S0885230821000620en_US
dc.format.extent13 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2eegi-5jaz
dc.identifier.citationMarge, Matthew et al. "Spoken language interaction with robots: Recommendations for future research." Computer Speech & Language 71 (13 July 2021). https://doi.org/10.1016/j.csl.2021.101255en_US
dc.identifier.urihttps://doi.org/10.1016/j.csl.2021.101255
dc.identifier.urihttp://hdl.handle.net/11603/27714
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.en_US
dc.rightsPublic Domain Mark 1.0*
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.subjectUMBC Interactive Robotics and Language Lab
dc.titleSpoken language interaction with robots: Recommendations for future researchen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0003-1383-8120en_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
1-s2.0-S0885230821000620-main.pdf
Size:
600.87 KB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.56 KB
Format:
Item-specific license agreed upon to submission
Description: