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dc.contributor.authorAndriella, Antonio
dc.contributor.authorHuertas García, Ruben
dc.contributor.authorForgas Coll, Santiago
dc.contributor.authorTorras, Carme
dc.contributor.authorAlenyà Ribas, Guillem
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Automàtica, Robòtica i Visió
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.date.accessioned2021-02-16T10:58:32Z
dc.date.available2021-02-16T10:58:32Z
dc.date.issued2020
dc.identifier.citationAndriella, A. [et al.]. Discovering SOCIABLE: using a conceptual model to evaluate the legibility and effectiveness of backchannel cues in an entertainment scenario. A: IEEE International Symposium on Robot and Human Interactive Communication. "2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)". Institute of Electrical and Electronics Engineers (IEEE), 2020, p. 752-759. DOI 10.1109/RO-MAN47096.2020.9223450.
dc.identifier.urihttp://hdl.handle.net/2117/339737
dc.description© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.description.abstractRobots are expected to become part of everyday life. However, while there have been important breakthroughs during the recent decades in terms of technological advances, the ability of robots to interact with humans intuitively and effectively is still an open challenge. In this paper, we aim to evaluate how humans interpret and leverage backchannel cues exhibited by a robot which interacts with them in an entertainment context. To do so, a conceptual model was designed to investigate the legibility and the effectiveness of a designed social cue, called SOCial ImmediAcy BackchanneL cuE (SOCIABLE), on participant’s performance. In addition, user’s attitude and cognitive capability were integrated into the model as an estimator of participants’ motivation and ability to process the cue. In working toward such a goal, we conducted a two-day long user study (N=114) at an international event with untrained participants who were not aware of the social cue the robot was able to provide. The results showed that participants were able to perceive the social signal generated from SOCIABLE and thus, they benefited from it. Our findings provide some important insights for the design of effective and instantaneous backchannel cues and the methodology for evaluating them in social robots.
dc.description.sponsorshipThis work has been partially funded by the EU project SOCRATESH2020-MSCA-ITN-721619, by the European Union ́s Horizon 2020 underERC Advanced Grant CLOTHILDE (no. 741930), by the Spanish Ministryof Science and Innovation HuMoUR TIN2017-90086-R, and by the StateResearch Agency through the Mar ́ıa de Maeztu Seal of Excellence to IRI(MDM-2016-0656).
dc.format.extent8 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Robòtica
dc.subject.otherHumanoid robots
dc.subject.otherIntelligent robots
dc.subject.otherService robots
dc.subject.otherSocial aspects of automation
dc.titleDiscovering SOCIABLE: using a conceptual model to evaluate the legibility and effectiveness of backchannel cues in an entertainment scenario
dc.typeConference report
dc.contributor.groupUniversitat Politècnica de Catalunya. ROBiri - Grup de Robòtica de l'IRI
dc.identifier.doi10.1109/RO-MAN47096.2020.9223450
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Automation::Robots
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9223450
dc.rights.accessOpen Access
local.identifier.drac30474130
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/2PE/MDM-2016-0656
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/741930/EU/CLOTH manIpulation Learning from DEmonstrations/CLOTHILDE
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-90086-R/ES/ENTENDER EL MOVIMIENTO HUMANO PARA ADAPTAR EL COMPORTAMIENTO DE UN ROBOT/
local.citation.authorAndriella, A.; Huertas, R.; Forgas, S.; Torras, C.; Alenyà, G.
local.citation.contributorIEEE International Symposium on Robot and Human Interactive Communication
local.citation.publicationName2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
local.citation.startingPage752
local.citation.endingPage759


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