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dc.contributor.authorMcDougall, Sine
dc.contributor.authorEdworthy, Judy
dc.contributor.authorSinimeri, D
dc.contributor.authorGoodliffe, J
dc.contributor.authorBradley, D
dc.contributor.authorFoster, J
dc.date.accessioned2019-08-02T11:10:31Z
dc.date.available2019-08-02T11:10:31Z
dc.date.issued2020-03
dc.identifier.issn1076-898X
dc.identifier.issn1939-2192
dc.identifier.urihttp://hdl.handle.net/10026.1/14739
dc.description.abstract

Given the ease with which the diverse array of environmental sounds can be understood, the difficulties encountered in using auditory alarm signals on medical devices are surprising. In two experiments, with nonclinical participants, alarm sets which relied on similarities to environmental sounds (concrete alarms, such as a heartbeat sound to indicate "check cardiovascular function") were compared to alarms using abstract tones to represent functions on medical devices. The extent to which alarms were acoustically diverse was also examined: alarm sets were either acoustically different or acoustically similar within each set. In Experiment 1, concrete alarm sets, which were also acoustically different, were learned more quickly than abstract alarms which were acoustically similar. Importantly, the abstract similar alarms were devised using guidelines from the current global medical device standard (International Electrotechnical Commission 60601-1-8, 2012). Experiment 2 replicated these findings. In addition, eye tracking data showed that participants were most likely to fixate first on the correct medical devices in an operating theater scene when presented with concrete acoustically different alarms using real world sounds. A new set of alarms which are related to environmental sounds and differ acoustically have therefore been proposed as a replacement for the current medical device standard. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

dc.format.extent89-107
dc.format.mediumPrint-Electronic
dc.languageen
dc.language.isoeng
dc.publisherAmerican Psychological Association (APA)
dc.subjectauditory alarms
dc.subjecteye tracking
dc.subjectsemantic networks
dc.subjectIEC 60601-1-8
dc.subjectalarm signals
dc.titleSearching for meaning in sound: Learning and interpreting alarm signals in visual environments.
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000516545900007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue1
plymouth.volume26
plymouth.publication-statusPublished online
plymouth.journalJournal of Experimental Psychology: Applied
dc.identifier.doi10.1037/xap0000238
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Health
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Centre for Brain, Cognition and Behaviour (CBCB)
plymouth.organisational-group/Plymouth/Research Groups/Centre for Brain, Cognition and Behaviour (CBCB)/Behaviour
plymouth.organisational-group/Plymouth/Users by role
dc.publisher.placeUnited States
dc.identifier.eissn1939-2192
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1037/xap0000238
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review


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