Scarecrows in Oz: Large Language Models in HRI

dc.contributor.authorMatuszek, Cynthia
dc.contributor.authorDepalma, Nick
dc.contributor.authorMead, Ross
dc.contributor.authorWilliams, Tom
dc.contributor.authorWen, Ruchen
dc.date.accessioned2024-04-02T19:56:24Z
dc.date.available2024-04-02T19:56:24Z
dc.date.issued2024-03-11
dc.descriptionCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’24 Companion), March 11–14, 2024, Boulder, CO, USA.
dc.description.abstractLarge Language Models (LLMs) have been the focus of intense interest in the past few years for the artificial intelligence (AI) community and their use in interactive robots for industry has had equal interest; however, there do not currently exist guidelines for or categorizations of their use in different application spaces. In this workshop, we bring together academic researchers and industry practitioners who are using or are interested in LLMs for human-robot interaction (HRI), and who can contribute to the development of a higher level, community-wide evaluation of how LLMs can fit correctly and defensibly into the future of HRI. Relevant topics to this workshop include HRI studies that involve LLMs directly or indirectly, technical contributions that involve utilizing or modifying LLMs, and HRI studies that utilize the idea of "Scarecrows'' within a larger system. We also intend to incorporate work on the broader questions of how these models should be conceptualized within the framework of effective, responsible HRI.
dc.description.sponsorshipDr. Tom Williams’ work on this workshop proposal was funded in part by grant N00014-21-1-2418 from the US Ofce of Naval Research and Young Investigator Award FA9550-20-1-0089 from the United States Air Force Ofce of Scientifc Research. Dr. Cynthia Matuszek’s work on this workshop proposal was supported in part by NSF grants IIS-2024878 and IIS-2145642.
dc.description.urihttps://dl.acm.org/doi/10.1145/3610978.3638168
dc.format.extent3 pages
dc.genreconference papers and proceedings
dc.identifierdoi:10.13016/m2ephl-pxjp
dc.identifier.citationMatuszek, Cynthia, Nick Depalma, Ross Mead, Tom Williams, and Ruchen Wen. “Scarecrows in Oz: Large Language Models in HRI.” In Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 1338–40. HRI ’24. New York, NY, USA: Association for Computing Machinery, 2024. https://doi.org/10.1145/3610978.3638168.
dc.identifier.urihttps://doi.org/10.1145/3610978.3638168
dc.identifier.urihttp://hdl.handle.net/11603/32783
dc.language.isoen_US
dc.publisherACM
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.subjecthuman-robot interaction
dc.subjectlanguage-capable robots
dc.subjectlarge language models
dc.titleScarecrows in Oz: Large Language Models in HRI
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0003-1383-8120
dcterms.creatorhttps://orcid.org/0000-0003-1590-1787

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