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dc.rights.licenseopenen_US
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorPEREZ, Paulo
dc.contributor.authorROOSE, Philippe
dc.contributor.authorCARDINALE, Yudith
dc.contributor.authorDALMAU, Mark
dc.contributor.authorMASSON, Dominique
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorCOUTURE, Nadine
ORCID: 0000-0001-7959-5227
IDREF: 111534275
dc.date.accessioned2023-04-05T08:34:45Z
dc.date.available2023-04-05T08:34:45Z
dc.date.issued2021-06
dc.identifier.issn2577-610Xen_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/172763
dc.description.abstractEnTraditional Human-Computer Interaction (HCI) is being overpowered by the widespread diffusion of smart and mobile devices. Currently, smart environments involve daily day activities covered by a huge variety of applications, which demand new HCI approaches. In this context, proxemic interaction, derived from the proxemic theory, becomes an influential approach to implement new kind of Mobile Human-Computer Interaction (MobileHCI) in smart environments. It is based on five proxemic dimensions: Distance, Identity, Location, Movement, and Orientation (DILMO). However, there is a lack of general and flexible tools and utilities focused on supporting the development of mobile proxemic applications. To respond to this need, we have previously proposed a framework for the design and implementation of proxemic applications for smart environments, whose devices interactions are defined in terms of DILMO dimensions. In this work, we extend this framework by integrating a Domain Specif Language (DSL) to support the designing phase. The framework also provides an API, that allows developers to simplify the process of proxemic information sensing (i.e., detection of DILMO dimensions) with mobile phones and wearable sensors. We perform an exhaustive revision of relevant and recent studies and describe in detail all components of our framework.
dc.language.isoENen_US
dc.title.enAn Approach to Develop Mobile Proxemic Applications
dc.typeArticle de revueen_US
dc.identifier.doi10.26421/JDI2.2-4en_US
dc.subject.halInformatique [cs]/Autre [cs.OH]en_US
bordeaux.journalJournal of Data Intelligenceen_US
bordeaux.page166-169en_US
bordeaux.volume2en_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.issue2en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-03346783
hal.version1
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
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