| dc.contributor.author | Osa Arzuaga, Nagore | |
| dc.contributor.author | Lasa, Ganix | |
| dc.contributor.author | Mazmela Etxabe, Maitane | |
| dc.contributor.author | Apraiz, Ainhoa | |
| dc.contributor.author | Escallada Lopez, Oscar | |
| dc.date.accessioned | 2026-01-21T08:15:02Z | |
| dc.date.available | 2026-01-21T08:15:02Z | |
| dc.date.issued | 2025 | |
| dc.identifier.issn | 1611-3349 | en |
| dc.identifier.other | https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=200640 | en |
| dc.identifier.uri | https://hdl.handle.net/20.500.11984/14018 | |
| dc.description.abstract | Robotic systems have progressed from isolated, pre-programmed manipulators to adaptive, learning agents capable of close collaboration with humans. This evolution outpaces most established Human–Robot Interaction (HRI) taxonomies and leaves design teams without a concise, human-centered method for specifying next-generation interactions. We present the Interaction Blueprint, a diagrammatic framework that merges service-design blueprinting with refined HRI concepts. Each task step is plotted on dual physical and cognitive axes and annotated across five layers—Activity, Role, Ability, Autonomy, and Authority-thereby linking user skills and decision prerogatives to robotic capabilities at the earliest design stage. The blueprint translates abstract taxonomic insights into a practical canvas for multidisciplinary teams and offers a scalable foundation for forthcoming empirical validation and metric integration. | en |
| dc.language.iso | eng | en |
| dc.publisher | Springer Nature | en |
| dc.rights | © 2025 Springer Nature | en |
| dc.subject | ODS 8 Trabajo decente y crecimiento económico | es |
| dc.subject | ODS 9 Industria, innovación e infraestructura | es |
| dc.title | The Interaction Blueprint: A Human-Centred Design Tool for Cognitive Human–Robot Interaction | en |
| dcterms.accessRights | http://purl.org/coar/access_right/c_f1cf | en |
| dcterms.source | International Conference on Social Robotics | en |
| local.contributor.group | Centro de Innovación en Diseño | es |
| local.description.peerreviewed | true | en |
| local.description.publicationfirstpage | 531 | en |
| local.description.publicationlastpage | 537 | en |
| local.identifier.doi | http://doi.org/10.1007/978-981-95-2382-5_38 | en |
| local.embargo.enddate | 2027-01-31 | |
| local.contributor.otherinstitution | https://ror.org/00wvqgd19 | es |
| local.source.details | 17 : 2025 : Napoles, 10-12 septiembre, 2025 | en |
| oaire.format.mimetype | application/pdf | en |
| oaire.file | $DSPACE\assetstore | en |
| oaire.resourceType | http://purl.org/coar/resource_type/c_c94f | en |
| oaire.version | http://purl.org/coar/version/c_ab4af688f83e57aa | en |
| dc.unesco.tesauro | http://vocabularies.unesco.org/thesaurus/concept6459 | en |
| oaire.funderName | Comisión Europea | en |
| oaire.funderIdentifier | https://ror.org/00k4n6c32 / http://data.crossref.org/fundingdata/funder/10.13039/501100000780 | en |
| oaire.fundingStream | Horizon-RIA | en |
| oaire.awardNumber | 101136067 | en |
| oaire.awardTitle | INteractive robots that intuitiVely lEarn to inVErt tasks by ReaSoning about their Execution (INVERSE) | en |
| oaire.awardURI | https://doi.org/10.3030/101136067 | en |
| dc.unesco.clasificacion | http://skos.um.es/unesco6/331003 | en |