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Numerical data for publication "Tracking the Consumption of Home Essentials"

dc.contributor.authorPorcheron, Martin
dc.contributor.authorFuentes, Carolina
dc.contributor.authorFischer, Joel E.
dc.contributor.otherCostanza, Enrico
dc.contributor.otherMalik, Obaid
dc.contributor.otherSarvapali D, Ramchurn
dc.date.accessioned2019-12-03T12:10:48Z
dc.date.available2019-12-03T12:10:48Z
dc.date.issued2019-12-03
dc.identifier.urihttps://rdmc.nottingham.ac.uk/handle/internal/7901
dc.description.abstractThis spreadsheet contains the data used for the statistical analysis for the ACM CHI 2019 paper "Tracking the Consumption of Home Essentials". This work was published by the Association of Computing Machinery and presented at the 2019 CHI Conference on Human Factors in Computing Systems in Glasgow, UK. DOI: 10.1145/3290605.3300869en_UK
dc.language.isoenen_UK
dc.publisherUniversity of Nottinghamen_UK
dc.relation.urihttps://nottingham-repository.worktribe.com/output/1458860/tracking-the-consumption-of-home-essentialsen_UK
dc.rightsCC-BY*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.lcshHuman-computer interactionen_UK
dc.subject.lcshInternet of thingsen_UK
dc.titleNumerical data for publication "Tracking the Consumption of Home Essentials"en_UK
dc.identifier.doihttp://doi.org/10.17639/nott.7028
dc.subject.freedomestic grocery shopping, IoT, proactive technology, au- tomation, autonomous agents, technology probeen_UK
dc.subject.jacsComputer Sciences::Artificial intelligence::Machine learning, Automated reasoningen_UK
dc.subject.lcQ Science::QA Mathematics::QA 75 Electronic computers. Computer scienceen_UK
dc.subject.lcT Technology::TK Electrical engineering. Electronics Nuclear engineering::TK5101 Telecommunicationen_UK
dc.date.collectionApril 2018–Sept. 2018en_UK
uon.divisionUniversity of Nottingham, UK Campus::Faculty of Science::School of Computer Scienceen_UK
uon.funder.controlledEngineering & Physical Sciences Research Councilen_UK
uon.datatypeAnalysisen_UK
uon.grantEP/N014243/1en_UK
uon.grantEP/M02315X/1en_UK
uon.collectionmethodTechnology probeen_UK
uon.institutes-centresUniversity of Nottingham, UK Campus::Horizon Digital Economy Huben_UK
uon.preservation.rarelyaccessedtrue
dc.relation.doi10.1145/3290605.3300869en_UK


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