Numerical data for publication "Tracking the Consumption of Home Essentials"
Publication date
2019-12-03Creators
Porcheron, Martin
Fuentes, Carolina
Fischer, Joel E.
Metadata
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This 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: 10.1145/3290605.3300869
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Subjects
- Human-computer interaction
- Internet of things
- domestic grocery shopping, IoT, proactive technology, au- tomation, autonomous agents, technology probe
- Computer Sciences::Artificial intelligence::Machine learning, Automated reasoning
- Q Science::QA Mathematics::QA 75 Electronic computers. Computer science
- T Technology::TK Electrical engineering. Electronics Nuclear engineering::TK5101 Telecommunication
Divisions
- University of Nottingham, UK Campus::Faculty of Science::School of Computer Science
Research institutes and centres
- University of Nottingham, UK Campus::Horizon Digital Economy Hub
Deposit date
2019-12-03Data type
AnalysisContributors
- Costanza, Enrico
- Malik, Obaid
- Sarvapali D, Ramchurn
Funders
- Engineering & Physical Sciences Research Council
Grant number
- EP/N014243/1
- EP/M02315X/1
Collection dates
- April 2018–Sept. 2018
Data collection method
Technology probeResource languages
- en