Afficher la notice abrégée

dc.rights.licenseopenen_US
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorABI AKLE, Audrey
ORCID: 0000-0003-2998-5862
IDREF: 189052856
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorMINEL, Stephanie
dc.contributor.authorYANNOU, Bernard
dc.date.accessioned2024-12-06T10:10:43Z
dc.date.available2024-12-06T10:10:43Z
dc.date.issued2013
dc.date.conference2013-07-04
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/203730
dc.description.abstractEnMonitoring industrial systems in real time raises some cognitive problems especially due to the important number of alerts that must be aggregate by the monitoring system itself and prioritized by operators. Among other senses (vision and sound), color may bring valuable insights to operators for quickly understanding alerts and appropriately react. In our case of supervising interfaces in real time of oil exploitation, the operators have safety constraints concerning environment, machines and human. It is necessary to bring into focus the situation quickly to the operator so that he/she acts. In order to assist the operator during his/her activity and to limit his/her cognitive effort, the supervision interfaces are equipped with alerts which have several important levels like "danger", "critic", "weak anomaly" or "no problem". We perform an experiment focuses on the comparison of three alert colour tested on a supervision interface by users used to this interface types. Our results prove that one alarm color code is 47% more efficient in terms of time reaction of testers. This best colour is a "red gradation" i.e. from bright red for the "danger" alert to white for the "no problem" alert. This alert type is not only efficient for the supervision, but also for a strategic or piloting dashboard, even personal dashboard as personal expenses management.
dc.language.isoENen_US
dc.subject.enErgonomics
dc.subject.enUser interfaces
dc.subject.eninformation visualization
dc.subject.endecision-making
dc.title.enChange the visual alert display to improve the decision making time: industrial systems supervision case study
dc.typeCommunication dans un congrèsen_US
dc.subject.halSciences de l'ingénieur [physics]en_US
bordeaux.pageUSBen_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.conference.titleCONFEREen_US
bordeaux.countryfren_US
bordeaux.conference.cityBiarritzen_US
bordeaux.import.sourcehal
hal.identifierhal-00913272
hal.version1
hal.invitednonen_US
hal.proceedingsouien_US
hal.conference.end2013-07-05
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2013&rft.spage=USB&rft.epage=USB&rft.au=ABI%20AKLE,%20Audrey&MINEL,%20Stephanie&YANNOU,%20Bernard&rft.genre=unknown


Fichier(s) constituant ce document

FichiersTailleFormatVue

Il n'y a pas de fichiers associés à ce document.

Ce document figure dans la(les) collection(s) suivante(s)

Afficher la notice abrégée