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dc.contributor.authorFolwarczny, Michal
dc.contributor.authorPawar, Sanchit
dc.contributor.authorSigurdsson, Valdimar
dc.contributor.authorFagerstrøm, Asle
dc.date.accessioned2022-10-20T11:23:33Z
dc.date.available2022-10-20T11:23:33Z
dc.date.created2020-02-02T20:26:46Z
dc.date.issued2019
dc.identifier.citationProcedia Computer Science. 2019, 164, 532-537.en_US
dc.identifier.issn1877-0509
dc.identifier.urihttps://hdl.handle.net/11250/3027297
dc.description.abstractDietary choices are one of the main drivers of preventable health issues such as obesity or diabetes. Food choice is a complex behavior that is hard to measure with traditional, paper, and pencil-based methods. Neuro-Information Systems (NeuroIS) research is well suited to examine neurophysiological and psychophysiological processes behind complex food choices. This paper aims to scrutinize the feasibility of applying NeuroIS tools in healthy food research. We argue that the most important food choices are made in extra-laboratory conditions–mostly grocery stores. Thus, mobile EEG and eye-tracking seem to be the most promising research tools in this context. Surprisingly, there are only a few EEG and eye-tracking studies on healthy food choices held in extra-laboratory conditions. We discuss this phenomenon and propose future research directions to fit this gap in the literature.en_US
dc.language.isoengen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleUsing neuro-IS/ consumer neuroscience tools to study healthy food choices: a reviewen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber532-537.en_US
dc.source.volume164en_US
dc.source.journalProcedia Computer Scienceen_US
dc.identifier.doi10.1016/j.procs.2019.12.216
dc.identifier.cristin1789945
cristin.unitcode1615,10,10,0
cristin.unitnameInstitutt for teknologi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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