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dc.contributor.authorUrbano, Pauloes
dc.contributor.authorCruz, Rodrigoes
dc.contributor.authorDallegrave, Támaraes
dc.contributor.otherInteraction Design Association ; Asociación de Profesionales en Experiencia de Usuario ; Internet Society ; Universidad Católica Argentinaes
dc.date.accessioned2019-06-21T23:41:44Z-
dc.date.available2019-06-21T23:41:44Z-
dc.date.issued2014-
dc.identifier.citationUrbano, P., Cruz, R., Dallegrave, T. Anomalous behavior identification using statistical analysis of large scale user interaction data [en línea]. En: Interaction South America (ISA14) : 6ta. Conferencia Lationamericana de Diseño de Interacción; 2014 nov 19-22; Buenos Aires : Interaction Design Association ; Asociación de Profesionales en Experiencia de Usuario ; Internet Society ; Universidad Católica Argentina. Disponible en: https://repositorio.uca.edu.ar/handle/123456789/7970es
dc.identifier.urihttps://repositorio.uca.edu.ar/handle/123456789/7970-
dc.description.abstractAbstract: The challenge of identifying usability problems in interactive applications has been dealt with by companies for decades, but the amount of issues found in production systems illustrates how far we are from a widely usable solution. The integration of statistical analysis of large scale user interaction data into a user centered design process, presented by the authors in an earlier work [1], can significantly improve the chance of identifying usability problems in certain classes of applications. In this article, an expansion of the approach is proposed, leveraging the concept of ‘task’ as defined in the ISO 9241-11 [2] to create the basis for the automatic identification of anomalous interaction behavior. Here, ‘anomalous’ is understood as any statistically significant deviation from the expected interaction behavior, as defined in the implemented information architecture and navigation flow, or from the most often observed interaction pattern. With that, we argue, a relevant new tool to support the process of usability evaluation is created, uncovering interaction patterns not easily identifiable by other meanses
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dc.rightsAcceso Abiertoes
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/es
dc.sourceInteraction South America (ISA) : Conferencia Lationamericana de Diseño de Interacción (6ª : 2014 : Buenos Aires)es
dc.subjectUSABILIDADes
dc.subjectANALISIS ESTADISTICOes
dc.subjectUSUARIOSes
dc.subjectINTERACCIONes
dc.subjectTECNOLOGIA DE LA INFORMACIONes
dc.subjectCOMUNICACIONes
dc.subjectISA14es
dc.titleAnomalous behavior identification using statistical analysis of large scale user interaction dataes
dc.typeDocumento de conferenciaes
uca.pathFacultad de Ciencias Sociales|Departamento de Comunicación Publicitaria e Institucional|Ponenciases
uca.disciplinaCOMUNICACIONes
uca.filename/home/data-uca-generic/folder_facultad/Sociales/Dto. Com. publicitaria e inst/ponencias/anomalous-user-interaction-data/metadata.xmles
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uca.versionpublishedVersiones
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item.languageiso639-1pt-
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