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dc.contributor.authorFuentes, Carolina
dc.contributor.authorPorcheron, Martin
dc.contributor.authorFischer, Joel
dc.date.accessioned2023-04-13T09:31:59Z
dc.date.available2023-04-13T09:31:59Z
dc.date.issued2023-04-13
dc.identifier.urihttps://rdmc.nottingham.ac.uk/handle/internal/10465
dc.description.abstractDataset comprising spoken instructions of 21 participants tasked to address a robotic vacuum cleaner. The dataset includes transcribed instructions spoken by participants, timestamps, output messages triggered by matching a Wizard-of-Oz protocol (see this paper: https://doi.org/10.1145/3432942), and categorisations of the instructions.en_UK
dc.language.isoenen_UK
dc.publisherThe University of Nottinghamen_UK
dc.rightsCC-BY*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.lcshVacuum cleaners -- Automatic controlen_UK
dc.subject.lcshNatural language processing (Computer science)en_UK
dc.subject.lcshHuman-computer interactionen_UK
dc.titleRoboClean elicitation study data of spoken natural language instructions to a robotic vacuum cleaneren_UK
dc.identifier.doihttp://doi.org/10.17639/nott.7295
dc.subject.freespoken natural language, voice instructions, Wizard of Oz method, elicitation studyen_UK
dc.subject.jacsComputer Sciences::Computer science::Human-computer interactionen_UK
dc.subject.lcQ Science::QA Mathematics::QA 75 Electronic computers. Computer scienceen_UK
uon.divisionUniversity of Nottingham, UK Campus::Faculty of Science::School of Computer Scienceen_UK
uon.funder.controlledEngineering & Physical Sciences Research Councilen_UK
uon.funder.controlledOtheren_UK
uon.datatypeMixed quantitative and qualitative experimental dataen_UK
uon.funder.freeSmart Products Beaconen_UK
uon.grantEP/M02315X/1en_UK
uon.collectionmethodWizard of Oz methoden_UK
uon.institutes-centresUniversity of Nottingham, UK Campus::Horizon Digital Economy Huben_UK
uon.preservation.rarelyaccessedtrue
dc.relation.doi10.1145/3432942en_UK


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