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Adaptation of the difficulty level in an infant-robot movement contingency study

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Planificación y Aprendizajees
dc.contributor.authorPulido Pascual, José Carlos
dc.contributor.authorFunke, Rebecca
dc.contributor.authorSmith, Beth A.
dc.contributor.authorMataric, Maja
dc.contributor.authorGarcía Polo, Francisco Javieres
dc.contributor.funderEuropean Commissiones
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2020-03-26T09:02:47Z
dc.date.available2020-03-26T09:02:47Z
dc.date.issued2018-11-21
dc.description19th International Workshop of Physical Agents (WAF). Madrid (22-23 Noviembre 2018)en
dc.description.abstractABSTRACT: This paper presents a personalized contingency feedback adaptation system that aims to encourage infants aged 6 to 8 months to gradually increase the peak acceleration of their leg movements. The ultimate challenge is to determine if a socially assistive humanoid robot can guide infant learning using contingent rewards, where the reward threshold is personalized for each infant using a reinforcement learning algorithm. The model learned from the data captured by wearable inertial sensors measuring infant leg movement accelerations in an earlier study. Each infant generated a unique model that determined the behavior of the robot. The presented results were obtained from the distributions of the participants' acceleration peaks and demonstrate that the resulting model is sensitive to the degree of differentiation among the participants; each participant (infant) should have his/her own learned policy.en
dc.description.sponsorshipThis work was supported by NSF award 1706964 (PI: Smith, Co-PI: Matarić). In addition, this work was developed during an international mobility program at the University of Southern California being also partially funded by the European Union ECHORD++ project (FP7-ICT-601116), the LifeBots project (TIN2015-65686-C5) and THERAPIST project (TIN2012-38079).en
dc.identifier.bibliographicCitationJ. C. Pulido, R. Funke, J. García, B. A. Smith y M. Mataric. Adaptation of the Difficulty Level in an Infant-Robot Movement Contingency Study. Advances in Intelligent Systems and Computing, Vol. 855, pp. 70-83 (2019)es
dc.identifier.doihttps://doi.org/10.1007/978-3-319-99885-5_6
dc.identifier.isbn978-3-319-99884-8
dc.identifier.publicationfirstpage70
dc.identifier.publicationlastpage83
dc.identifier.publicationtitleAdvances in Physical Agents. WAF 2018en
dc.identifier.publicationvolume855
dc.identifier.urihttps://hdl.handle.net/10016/30031
dc.identifier.uxxiCC/0000029179
dc.language.isoenges
dc.publisherSpringeres
dc.relation.eventdate2018-11-22
dc.relation.eventplaceMADRIDes
dc.relation.eventtitle19th International Workshop of Physical Agents (WAF)en
dc.relation.ispartofseriesAdvances in Intelligent Systems and Computingen
dc.relation.projectIDGobierno de España. TIN2015-65686-C5es
dc.relation.projectIDGobierno de España. TIN2012- 38079es
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/ICT-601116es
dc.rights© Springer Nature Switzerland AG 2019es
dc.rights.accessRightsopen accesses
dc.subject.ecienciaInformáticaes
dc.subject.otherSocially assistive roboticsen
dc.subject.otherInfant-robot interactionen
dc.subject.otherUser adaptationen
dc.subject.otherReinforcement learningen
dc.titleAdaptation of the difficulty level in an infant-robot movement contingency studyen
dc.typeconference proceedings*
dc.type.hasVersionAM*
dspace.entity.typePublication
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