Photogrammetry and VR for Comparing 2D and Immersive Linguistic Data Collection (Student Abstract)

dc.contributor.authorRubinstein, Jacob
dc.contributor.authorMatuszek, Cynthia
dc.contributor.authorEngel, Don
dc.date.accessioned2025-06-17T14:46:50Z
dc.date.available2025-06-17T14:46:50Z
dc.date.issued2023-06-26
dc.descriptionThe Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23)
dc.description.abstractThe overarching goal of this work is to enable the collection of language describing a wide variety of objects viewed in virtual reality. We aim to create full 3D models from a small number of ‘keyframe’ images of objects found in the publicly available Grounded Language Dataset (GoLD) using photogrammetry. We will then collect linguistic descriptions by placing our models in virtual reality and having volunteers describe them. To evaluate the impact of virtual reality immersion on linguistic descriptions of the objects, we intend to apply contrastive learning to perform grounded language learning, then compare the descriptions collected from images (in GoLD) versus our models.
dc.description.urihttps://par.nsf.gov/servlets/purl/10511968
dc.format.extent2 pages
dc.genreconference papers and proceedings
dc.identifier.citationRubinstein, Jacob, Cynthia Matuszek, and Don Engel. “Photogrammetry and VR for Comparing 2D and Immersive Linguistic Data Collection (Student Abstract).” Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 13 (June 26, 2023): 16312–13. https://doi.org/10.1609/aaai.v37i13.27016.
dc.identifier.urihttps://doi.org/10.1609/aaai.v37i13.27016
dc.identifier.urihttp://hdl.handle.net/11603/39085
dc.language.isoen_US
dc.publisherAAAI
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Center for Space Sciences and Technology (CSST) / Center for Research and Exploration in Space Sciences & Technology II (CRSST II)
dc.relation.ispartofUMBC Office for the Vice President of Research
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.relation.ispartofUMBC Physics Department
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectUMBC Interactive Robotics and Language Lab
dc.subjectUMBC Ebiquity Research Group
dc.titlePhotogrammetry and VR for Comparing 2D and Immersive Linguistic Data Collection (Student Abstract)
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0003-1383-8120
dcterms.creatorhttps://orcid.org/0000-0003-2838-0140
dcterms.creatorhttps://orcid.org/0000-0002-0696-3452

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