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

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Show simple item record Pulido Pascual, José Carlos Funke, Rebecca Smith, Beth A. Mataric, Maja García Polo, Francisco Javier 2020-03-26T09:02:47Z 2020-03-26T09:02:47Z 2018-11-21
dc.identifier.bibliographicCitation J. 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)
dc.identifier.isbn 978-3-319-99884-8
dc.description 19th International Workshop of Physical Agents (WAF). Madrid (22-23 Noviembre 2018)
dc.description.abstract ABSTRACT: 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.
dc.description.sponsorship This 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).
dc.language.iso eng
dc.publisher Springer
dc.relation.ispartofseries Advances in Intelligent Systems and Computing
dc.rights © Springer Nature Switzerland AG 2019
dc.subject.other Socially assistive robotics
dc.subject.other Infant-robot interaction
dc.subject.other User adaptation
dc.subject.other Reinforcement learning
dc.title Adaptation of the difficulty level in an infant-robot movement contingency study
dc.type conferenceObject
dc.subject.eciencia Informática
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TIN2015-65686-C5
dc.relation.projectID Gobierno de España. TIN2012- 38079
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/ICT-601116
dc.type.version acceptedVersion
dc.relation.eventdate 2018-11-22
dc.relation.eventplace MADRID
dc.relation.eventtitle 19th International Workshop of Physical Agents (WAF)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 70
dc.identifier.publicationlastpage 83
dc.identifier.publicationtitle Advances in Physical Agents. WAF 2018
dc.identifier.publicationvolume 855
dc.identifier.uxxi CC/0000029179
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Economía y Competitividad (España)
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