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dc.contributor.authorSilvennoinen, Johanna
dc.contributor.authorKujala, Tuomo
dc.contributor.authorJokinen, Jussi P.P.
dc.date.accessioned2017-12-11T09:31:06Z
dc.date.available2019-11-03T22:35:17Z
dc.date.issued2017
dc.identifier.citationSilvennoinen, J., Kujala, T., & Jokinen, J. P. (2017). Semantic distance as a critical factor in icon design for in-car infotainment systems. <i>Applied Ergonomics</i>, <i>65</i>, 369-381. <a href="https://doi.org/10.1016/j.apergo.2017.07.014" target="_blank">https://doi.org/10.1016/j.apergo.2017.07.014</a>
dc.identifier.otherCONVID_27141245
dc.identifier.otherTUTKAID_74565
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/56227
dc.description.abstractIn-car infotainment systems require icons that enable fluent cognitive information processing and safe interaction while driving. An important issue is how to find an optimised set of icons for different functions in terms of semantic distance. In an optimised icon set, every icon needs to be semantically as close as possible to the function it visually represents and semantically as far as possible from the other functions represented concurrently. In three experiments (N = 21 each), semantic distances of 19 icons to four menu functions were studied with preference rankings, verbal protocols, and the primed product comparisons method. The results show that the primed product comparisons method can be efficiently utilised for finding an optimised set of icons for time-critical applications out of a larger set of icons. The findings indicate the benefits of the novel methodological perspective into the icon design for safety-critical contexts in general.
dc.language.isoeng
dc.publisherPergamon Press
dc.relation.ispartofseriesApplied Ergonomics
dc.subject.othersafety-critical user interfaces
dc.subject.othericon
dc.subject.othersemantic distance
dc.titleSemantic distance as a critical factor in icon design for in-car infotainment systems
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201712084570
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineKognitiotiedefi
dc.contributor.oppiaineCognitive Scienceen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2017-12-08T13:15:31Z
dc.type.coarjournal article
dc.description.reviewstatuspeerReviewed
dc.format.pagerange369-381
dc.relation.issn0003-6870
dc.relation.numberinseries0
dc.relation.volume65
dc.type.versionacceptedVersion
dc.rights.copyright© 2017 Elsevier Ltd. This is a final draft version of an article whose final and definitive form has been published by Elsevier. Published in this repository with the kind permission of the publisher.
dc.rights.accesslevelopenAccessfi
dc.subject.ysosemantiikka
dc.subject.ysokuvakkeet
jyx.subject.urihttp://www.yso.fi/onto/yso/p6804
jyx.subject.urihttp://www.yso.fi/onto/yso/p28668
dc.relation.doi10.1016/j.apergo.2017.07.014


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