Voice interfaces in everyday life
| dc.contributor.author | Porcheron, Martin | |
| dc.contributor.other | Fischer, Joel E. | |
| dc.contributor.other | Reeves, Stuart | |
| dc.contributor.other | Sharples, Sarah | |
| dc.date.accessioned | 2018-02-20T17:30:33Z | |
| dc.date.available | 2018-02-20T17:30:33Z | |
| dc.date.issued | 2018-02-20 | |
| dc.identifier.uri | https://rdmc.nottingham.ac.uk/handle/internal/346 | |
| dc.description.abstract | Anonymised transcripts of Amazon Echo interfaces in a home, as used in the CHI 2018 paper "Voice Interfaces in Everyday Life". This data was captured using a custom-built recording device ("Conditional Voice Recorder") that recorded a minute before and a minute after Amazon Echo interactions in the home. More information on recording can be found in the paper. Audio recordings for the transcripts available to download may be available by contacting one of the listed contributors. This data can only be released for research purposes. | en_UK |
| dc.language.iso | en | en_UK |
| dc.publisher | University of Nottingham | en_UK |
| dc.relation.uri | http://eprints.nottingham.ac.uk/49153/ | en_UK |
| dc.subject.lcsh | Sound recordings | en_UK |
| dc.subject.lcsh | Human-machine systems | en_UK |
| dc.subject.lcsh | Human-computer interaction | en_UK |
| dc.title | Voice interfaces in everyday life | en_UK |
| dc.type | Dataset | |
| dc.identifier.doi | http://doi.org/10.17639/nott.342 | |
| dc.subject.free | voice interface, voice user interface, vui, bot, conversation agent, intelligent personal assistant, amazon echo, home, in-the-home, transcript | en_UK |
| dc.subject.jacs | Computer Sciences::Computer science::Human-computer interaction | en_UK |
| dc.subject.jacs | Social Studies::Sociology::Sociology of science & technology | en_UK |
| dc.subject.lc | H Social sciences::HE Transportation and communications | en_UK |
| dc.subject.lc | T Technology::TK Electrical engineering. Electronics Nuclear engineering::TK7800 Electronics | en_UK |
| dc.date.collection | 12/2016–04/2017 | 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.datatype | Transcripts | en_UK |
| uon.grant | EP/G037574/1 | en_UK |
| uon.grant | EP/G065802/1 | en_UK |
| uon.grant | EP/N014243/1 | en_UK |
| uon.grant | EP/M02315X/1 | en_UK |
| uon.grant | EP/K025848/1 | en_UK |
| uon.collectionmethod | Automatic audio capture in the home using custom-built hardware and software | en_UK |
| uon.legal | Personally identifiable information has been anonymised | en_UK |
| uon.preservation.rarelyaccessed | true | |
| dc.relation.doi | 10.1145/3173574.3174214 | en_UK |
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