Inference VS. Explicitness. Do We Really Need the Perfect Predictor? The Human-Robot Collaborative Object Transportation Case

Trabajo presentado en el 32nd IEEE International Conference on Robot and Human Interactive Communication, celebrado en Busan (Corea del Sur), del 28 al 31 de agosto de 2023

Detalles Bibliográficos
Autores: Domínguez Vidal, José Enrique, Sanfeliu, Alberto
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2023
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/355041
Acceso en línea:http://hdl.handle.net/10261/355041
https://api.elsevier.com/content/abstract/scopus_id/85186998511
Access Level:acceso abierto
Palabra clave:Human-in-the-Loop
Intent Detection
Physical Human-Robot Interaction
User Study
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spelling Inference VS. Explicitness. Do We Really Need the Perfect Predictor? The Human-Robot Collaborative Object Transportation CaseDomínguez Vidal, José EnriqueSanfeliu, AlbertoHuman-in-the-LoopIntent DetectionPhysical Human-Robot InteractionUser StudyTrabajo presentado en el 32nd IEEE International Conference on Robot and Human Interactive Communication, celebrado en Busan (Corea del Sur), del 28 al 31 de agosto de 2023When robots interact with humans, limitations in their internal models arise due to the uncertainty and even randomness of human behavior. This has led to attempts to predict human future actions and infer their intent. However, some authors argue for combining inference engines with communication systems that explicitly elicit human intention. This work builds on our Perception-Intention-Action (PIA) cycle, a framework that considers human intention at the same level as perception of the environment. The PIA cycle is used in a collaborative task to compare the effect on different human-robot interaction aspects of using a force predictor that infers human implicit intention versus a communication system that explicitly elicits human intention. A study with 18 volunteers shows that allowing humans to directly express themselves can achieve the same improvement as an intention predictor.Peer reviewedInstitute of Electrical and Electronics EngineersConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttp://hdl.handle.net/10261/355041https://api.elsevier.com/content/abstract/scopus_id/85186998511reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.1109/RO-MAN57019.2023.10309648Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3550412026-05-22T06:33:51Z
dc.title.none.fl_str_mv Inference VS. Explicitness. Do We Really Need the Perfect Predictor? The Human-Robot Collaborative Object Transportation Case
title Inference VS. Explicitness. Do We Really Need the Perfect Predictor? The Human-Robot Collaborative Object Transportation Case
spellingShingle Inference VS. Explicitness. Do We Really Need the Perfect Predictor? The Human-Robot Collaborative Object Transportation Case
Domínguez Vidal, José Enrique
Human-in-the-Loop
Intent Detection
Physical Human-Robot Interaction
User Study
title_short Inference VS. Explicitness. Do We Really Need the Perfect Predictor? The Human-Robot Collaborative Object Transportation Case
title_full Inference VS. Explicitness. Do We Really Need the Perfect Predictor? The Human-Robot Collaborative Object Transportation Case
title_fullStr Inference VS. Explicitness. Do We Really Need the Perfect Predictor? The Human-Robot Collaborative Object Transportation Case
title_full_unstemmed Inference VS. Explicitness. Do We Really Need the Perfect Predictor? The Human-Robot Collaborative Object Transportation Case
title_sort Inference VS. Explicitness. Do We Really Need the Perfect Predictor? The Human-Robot Collaborative Object Transportation Case
dc.creator.none.fl_str_mv Domínguez Vidal, José Enrique
Sanfeliu, Alberto
author Domínguez Vidal, José Enrique
author_facet Domínguez Vidal, José Enrique
Sanfeliu, Alberto
author_role author
author2 Sanfeliu, Alberto
author2_role author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Human-in-the-Loop
Intent Detection
Physical Human-Robot Interaction
User Study
topic Human-in-the-Loop
Intent Detection
Physical Human-Robot Interaction
User Study
description Trabajo presentado en el 32nd IEEE International Conference on Robot and Human Interactive Communication, celebrado en Busan (Corea del Sur), del 28 al 31 de agosto de 2023
publishDate 2023
dc.date.none.fl_str_mv 2023
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/355041
https://api.elsevier.com/content/abstract/scopus_id/85186998511
url http://hdl.handle.net/10261/355041
https://api.elsevier.com/content/abstract/scopus_id/85186998511
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.1109/RO-MAN57019.2023.10309648
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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