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Challenges for Inclusive Affective Detection in Educational Scenarios

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dc.contributor.authorSantos, Olga C.
dc.contributor.authorRodríguez Ascaso, Alejandro
dc.contributor.authorGonzález Boticario, Jesús
dc.contributor.authorSalmeron Majadas, Sergio
dc.contributor.authorQuirós Expósito, Pilar
dc.contributor.authorCabestrero Alonso, Raúl
dc.coverage.spatialLas Vegas
dc.coverage.temporal2013-07-21
dc.date.accessioned2025-09-12T09:00:00Z
dc.date.available2025-09-12T09:00:00Z
dc.date.issued2013
dc.descriptionThe registered version of this conference paper, first published in " Stephanidis, C., Antona, M. (eds) Universal Access in Human-Computer Interaction. Design Methods, Tools, and Interaction Techniques for eInclusion. UAHCI 2013. Lecture Notes in Computer Science, vol 8009. Springer, Berlin, Heidelberg", is available online at the publisher's website: https://link.springer.com/chapter/10.1007/978-3-642-39188-0_61
dc.description.abstractThere exist diverse challenges for inclusive emotions detection in educational scenarios. In order to gain some insight about the difficulties and limitations of them, we have analyzed requirements, accommodations and tasks that need to be adapted for an experiment where people with different functional profiles have taken part. Adaptations took into consideration logistics, tasks involved and user interaction techniques. The main aim was to verify to what extent the same approach, measurements and technological infrastructure already used in previous experiments were adequate for inducing emotions elicited from the execution of the experiment tasks. In the paper, we discuss the experiment arrangements needed to cope with people with different functional profiles, which include adaptations on the analysis and results. Such analysis was validated in a pilot experiment with 3 visually impaired participants.en
dc.description.versionversión publicada
dc.identifier.citationSantos, O.C., Rodriguez-Ascaso, A., Boticario, J.G., Salmeron-Majadas, S., Quirós, P., Cabestrero, R. (2013). Challenges for Inclusive Affective Detection in Educational Scenarios. In: Stephanidis, C., Antona, M. (eds) Universal Access in Human-Computer Interaction. Design Methods, Tools, and Interaction Techniques for eInclusion. UAHCI 2013. Lecture Notes in Computer Science, vol 8009. Springer, Berlin, Heidelberg
dc.identifier.doihttps://doi-org.bibliotecauned.idm.oclc.org/10.1007/978-3-642-39188-0_61
dc.identifier.issn9783642391873
dc.identifier.urihttps://hdl.handle.net/20.500.14468/30013
dc.language.isoen
dc.publisherSpringer Nature
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.congressUniversal Access in Human-Computer Interaction: Design Methods, Tools, and Interaction Techniques for eInclusion 7th International Conference, UAHCI 2013
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/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject3304 Tecnología de los ordenadores
dc.titleChallenges for Inclusive Affective Detection in Educational Scenariosen
dc.typeactas de congresoes
dc.typeconference proceedingsen
dspace.entity.typePublication
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