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dc.rights.licenseAttribution 4.0 International
dc.contributor.authorApraiz Iriarte, Ainhoa
dc.contributor.authorLasa, Ganix
dc.contributor.authorMazmela Etxabe, Maitane
dc.contributor.authorNguyen Ngoc, Hien
dc.contributor.otherMulet Alberola, Jose A.
dc.date.accessioned2024-02-02T08:53:17Z
dc.date.available2024-02-02T08:53:17Z
dc.date.issued2023
dc.identifier.issn2296-9144
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=173301
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6236
dc.description.abstractHumans and robots will increasingly have to work together in the new industrial context. Therefore, it is necessary to improve the User Experience, Technology Acceptance, and overall wellbeing to achieve a smoother and more satisfying interaction while obtaining the maximum performance possible out of it. For this reason, it is essential to analyze these interactions to enhance User Experience. The heuristic evaluation is an easy-to-use, low-cost method that can be applied at different stages of a design process in an iterative manner. Despite these advantages, there is rarely a list of heuristics in the current literature that evaluates Human-Robot interactions both from a User Experience, Technology Acceptance, and Human-Centered approach. Such an approach should integrate key aspects like safety, trust, and perceived safety, ergonomics and workload, inclusivity, and multimodality, as well as robot characteristics and functionalities. Therefore, a new set of heuristics, namely, the HEUROBOX tool, is presented in this work in the form of the HEUROBOX tool to help practitioners and researchers in the assessment of human-robot systems in industrial environments. The HEUROBOX tool clusters design guidelines and methodologies as a logic list of heuristics for human-robot interaction and comprises four categories: Safety, Ergonomics, Functionality, and Interfaces. They include 84 heuristics in the basic evaluation, while the advanced evaluation lists a total of 228 heuristics in order to adapt the tool to the evaluation of different industrial requirements. Finally, the set of new heuristics has been validated by experts using the System Usability Scale (SUS) questionnaire and the categories has been prioritized in order of their importance in the evaluation of Human-Robot Interaction through the Analytic Hierarchy Process (AHP).en
dc.language.isoeng
dc.publisherFrontiers
dc.rights© 2023 The Authors
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjecthuman-robot collaboration (HRC)
dc.subjecthuman-robot interaction (HRI),
dc.subjectuser experience (UX)
dc.subjecttechnology acceptance
dc.subjectODS 9 Industria, innovación e infraestructura
dc.subjectheuristic evaluation
dc.subjectindustry 5.0
dc.subjecthuman-centered
dc.titleDevelopment of a new set of Heuristics for the evaluation of Human-Robot Interaction in industrial settings: Heuristics Robots Experience (HEUROBOX)
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2
dcterms.sourceFrontiers in Robotics and AI
local.contributor.groupCentro de Innovación en Diseño
local.description.peerreviewedtrue
local.identifier.doihttps://doi.org/10.3389/frobt.2023.1227082
local.rights.publicationfeeAPC
local.rights.publicationfeeamount2080 USD
local.contributor.otherinstitutionhttps://ror.org/02q2d2610
local.contributor.otherinstitutionInstitute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA)
local.source.detailsVol. 10
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
oaire.funderNameEuropean Commission
oaire.funderIdentifierhttps://ror.org/00k4n6c32 http://data.crossref.org/fundingdata/funder/10.13039/501100000780
oaire.fundingStreamH2020
oaire.awardNumber814078
oaire.awardTitleDigital Manufacturing and Design Training Network (DiManD)
oaire.awardURIhttps://doi.org/10.3030/814078


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