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dc.contributor.authorPetyaeva, Anya
dc.contributor.authorDeane, Joy
dc.contributor.authorBradley, Mike
dc.contributor.authorWaller, Sam
dc.contributor.authorClarkson, P John
dc.date.accessioned2022-05-04T23:30:34Z
dc.date.available2022-05-04T23:30:34Z
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/336739
dc.description.abstractUser research such as user trials provides valuable information on users and how they respond to interfaces in practice. However, it can be hard to ensure a repre-sentative sample. We propose a methodology to improve the understanding of a sample’s skew and to identify the characteristics of those who are missing by com-paring the sample with survey data. This can improve the interpretation of results and inform further recruitment to improve the sample. We provide a case study of this methodology in practice. 30 participants were recruited using quota sampling with significant effort to obtain people with low technology experience. Neverthe-less, comparison with UK survey data on technology experience, competence and attitudes identified four key groups of people not included in the sample, covering 29% of the population. We discuss how these missing people would likely respond on the tasks, based on the characteristics of similar people in the survey
dc.description.sponsorshipFunded by DFT and delivered through RSSB’s TOC'16 project: Towards the Inclusive Railway. Some of the work was also funded by the Dignity project which received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement number 875542
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.titleImproving our understanding of user trial samples using survey data
dc.typeConference Object
dc.date.updated2022-05-04T10:26:32Z
dc.identifier.doi10.17863/CAM.84160
dcterms.dateAccepted2022-04-05
rioxxterms.versionofrecord10.17863/CAM.84160
rioxxterms.versionAM
dc.contributor.orcidDeane, Joy [0000-0001-8166-1705]
dc.contributor.orcidClarkson, John [0000-0001-8018-7706]
pubs.funder-project-idEuropean Commission Horizon 2020 (H2020) Research Infrastructures (RI) (875542)
pubs.conference-nameDRS 2022
pubs.conference-start-date2022-06-25
cam.orpheus.counter22*
cam.depositDate2022-05-04
pubs.conference-finish-date2022-07-03
pubs.licence-identifierapollo-deposit-licence-2-1
pubs.licence-display-nameApollo Repository Deposit Licence Agreement
rioxxterms.freetoread.startdate2023-05-04


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Attribution-NonCommercial 4.0 International
Except where otherwise noted, this item's licence is described as Attribution-NonCommercial 4.0 International