RoboClean elicitation study data of spoken natural language instructions to a robotic vacuum cleaner
dc.contributor.author | Fuentes, Carolina | |
dc.contributor.author | Porcheron, Martin | |
dc.contributor.author | Fischer, Joel | |
dc.date.accessioned | 2023-04-13T09:31:59Z | |
dc.date.available | 2023-04-13T09:31:59Z | |
dc.date.issued | 2023-04-13 | |
dc.identifier.uri | https://rdmc.nottingham.ac.uk/handle/internal/10465 | |
dc.description.abstract | Dataset 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.iso | en | en_UK |
dc.publisher | The University of Nottingham | en_UK |
dc.rights | CC-BY | * |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.lcsh | Vacuum cleaners -- Automatic control | en_UK |
dc.subject.lcsh | Natural language processing (Computer science) | en_UK |
dc.subject.lcsh | Human-computer interaction | en_UK |
dc.title | RoboClean elicitation study data of spoken natural language instructions to a robotic vacuum cleaner | en_UK |
dc.identifier.doi | http://doi.org/10.17639/nott.7295 | |
dc.subject.free | spoken natural language, voice instructions, Wizard of Oz method, elicitation study | en_UK |
dc.subject.jacs | Computer Sciences::Computer science::Human-computer interaction | en_UK |
dc.subject.lc | Q Science::QA Mathematics::QA 75 Electronic computers. Computer science | en_UK |
uon.division | University of Nottingham, UK Campus::Faculty of Science::School of Computer Science | en_UK |
uon.funder.controlled | Engineering & Physical Sciences Research Council | en_UK |
uon.funder.controlled | Other | en_UK |
uon.datatype | Mixed quantitative and qualitative experimental data | en_UK |
uon.funder.free | Smart Products Beacon | en_UK |
uon.grant | EP/M02315X/1 | en_UK |
uon.collectionmethod | Wizard of Oz method | en_UK |
uon.institutes-centres | University of Nottingham, UK Campus::Horizon Digital Economy Hub | en_UK |
uon.preservation.rarelyaccessed | true | |
dc.relation.doi | 10.1145/3432942 | en_UK |
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