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Exploring arduino for building educational context-aware recommender systems that deliver affective recommendations in social ubiquitous networking environments

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dc.contributor.authorSantos, Olga C.
dc.contributor.authorGonzález Boticario, Jesús
dc.coverage.spatialMacau, China
dc.coverage.temporal2014-06-16
dc.date.accessioned2025-09-12T09:34:57Z
dc.date.available2025-09-12T09:34:57Z
dc.date.issued2014-10-10
dc.descriptionThe registered version of this conference paper, first published in "Chen, Y., et al. Web-Age Information Management. WAIM 2014. Lecture Notes in Computer Science(), vol 8597, Springer, Cham", is available online at the publisher's website: https://doi.org/10.1007/978-3-319-11538-2_25
dc.descriptionAcceso al texto completo: https://rdcu.be/eDIEs
dc.description.abstractOne of the most challenging context features to detect when making recommendations in educational scenarios is the learner’s affective state. Usually, this feature is explicitly gathered from the learner herself through questionnaires or self-reports. In this paper, we analyze if affective recommendations can be produced with a low cost approach using the open source electronics prototyping platform Arduino together with corresponding sensors and actuators. TORMES methodology (which combines user centered design methods and data mining techniques) can support the recommendations elicitation process by identifying new recommendation opportunities in these emerging social ubiquitous networking scenarios.en
dc.description.versionversión publicada
dc.identifier.citationSantos, O.C., Boticario, J.G. (2014). Exploring Arduino for Building Educational Context-Aware Recommender Systems that Deliver Affective Recommendations in Social Ubiquitous Networking Environments. In: Chen, Y., et al. Web-Age Information Management. WAIM 2014. Lecture Notes in Computer Science(), vol 8597. Springer, Cham.
dc.identifier.doihttps://doi.org/10.1007/978-3-319-11538-2_25
dc.identifier.isbn978-3-319-11538-2
dc.identifier.urihttps://hdl.handle.net/20.500.14468/30014
dc.language.isoen
dc.publisherSpringer
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.congressWeb-Age Information Management WAIM 2014 International Workshops: BigEM, HardBD, DaNoS, HRSUNE, BIDASYS, Macau, China, June 16-18, 2014
dc.relation.departmentInteligencia Artificial
dc.relation.projectidinfo:eu-repo/grantAgreement/MICINN/Programa Nacional de Investigación Fundamental/TIN2011-29221-C03-01/ES/ENFOQUES MULTIMODALES PARA EL MODELADO DE ASPECTOS EMOCIONALES EN ESCENARIOS DE EDUCACION PERSONALIZADOS E INCLUSIVOS EN CONTEXTOS INTELIGENTES
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject3304 Tecnología de los ordenadores
dc.subject.keywordsContextual recommender systemsen
dc.subject.keywordsEducational recommender systemsen
dc.subject.keywordsUbiquitous computingen
dc.subject.keywordsAffective computingen
dc.subject.keywordsArduinoen
dc.subject.keywordsSensorsen
dc.subject.keywordsActuatorsen
dc.subject.keywordsISO 9241-210en
dc.titleExploring arduino for building educational context-aware recommender systems that deliver affective recommendations in social ubiquitous networking environmentsen
dc.typeactas de congresoes
dc.typeconference proceedingsen
dspace.entity.typePublication
relation.isAuthorOfPublicationdf3339e5-d482-4ea3-85ad-3a554c2ba075
relation.isAuthorOfPublicatione067a1f1-6036-4974-a582-85b556587d18
relation.isAuthorOfPublication.latestForDiscoverydf3339e5-d482-4ea3-85ad-3a554c2ba075
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