Heuristic evaluation for automatic radiology reporting transcription systems

dc.contributor.authorSalvado V.F.M.
dc.contributor.authorDe Assis Moura Jr. L.
dc.date.accessioned2024-03-13T01:29:44Z
dc.date.available2024-03-13T01:29:44Z
dc.date.issued2010
dc.description.abstractThis paper describes the heuristic evaluation of automatic transcription systems used for radiology reporting. These systems use speech recognition to transform voice enters in text reporting. In order to assess this class of system limitations and strengths, a review of the concepts involved in this kind of system is done in a critical way. In order to evaluate the usability of the developed application, we have employed the heuristic evaluation, a type of usability inspection method. These heuristics are based on re-interpretations of Nielsen's heuristics, on the study of non-functional requirements for Voice User Interface, and on the good practices of development described. © 2010 IEEE.
dc.description.firstpage292
dc.description.lastpage295
dc.identifier.doi10.1109/ISSPA.2010.5605467
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/37083
dc.relation.ispartof10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
dc.rightsAcesso Restrito
dc.subject.otherlanguageMedical iriformation systems
dc.subject.otherlanguageSpeech recognition
dc.subject.otherlanguageUser interfaces
dc.subject.otherlanguageVoice user interfaces
dc.titleHeuristic evaluation for automatic radiology reporting transcription systems
dc.typeArtigo de evento
local.scopus.citations8
local.scopus.eid2-s2.0-78650290578
local.scopus.subjectAutomatic transcription
local.scopus.subjectDeveloped applications
local.scopus.subjectGood practices
local.scopus.subjectHeuristic evaluation
local.scopus.subjectMedical iriformation systems
local.scopus.subjectNielsen
local.scopus.subjectNon-functional requirements
local.scopus.subjectRadiology reporting
local.scopus.subjectUsability inspection
local.scopus.subjectVoice user interface
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78650290578&origin=inward
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