Assessing trust in collaborative robotics with different human-robot interfaces

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dc.contributor.authorMenolotto, Matteoen
dc.contributor.authorKomaris, Dimitrios-Sokratisen
dc.contributor.authorO’Sullivan, Patriciaen
dc.contributor.authorO’Flynn, Brendanen
dc.contributor.funderEnterprise Irelanden
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.date.accessioned2025-01-16T14:59:02Z
dc.date.available2025-01-16T14:59:02Z
dc.date.issued2024en
dc.description.abstractHuman-robot interfaces (HRIs) serve as the main communication tools for controlling and programming robots in industry 4.0 applications. To be effective, the design of these interfaces should consider not only functional and morphological characteristics, but also factors influencing human interactions, such as trust. A lack of trust is linked to the underutilization or misuse of collaborative robots, leading to ineffective automation implementation and compromised safety. The assessment of human factors is therefore gaining traction in robotics, with the emergence of both objective and subjective methodologies. Nevertheless, the absence of a holistic approach hinders the development of a unified assessment framework. This study introduces a novel assessment methodology that integrates self-reporting questionnaires with human-centric data collected through wearable sensing technologies. The approach aims to offer a comprehensive evaluation of HRIs, considering both perceptual and behavioral dimensions. Empirical testing on three different HRIs substantiates the effectiveness of this methodology. Preliminary results reveal variations in trust levels based on the combination of tasks performed and the specific HRI used for communication with a collaborative robot. These findings not only contribute to advancing our understanding of trust dynamics in human-robot interactions but also lay the groundwork for a more inclusive evaluation framework, enhancing our comprehension of the intricate interplay between humans and robots in the context of smart manufacturing.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMenolotto, M., Komaris, D.-S., O’Sullivan, P. and O’Flynn, B. (2024) ‘Assessing trust in collaborative robotics with different human-robot interfaces’, 2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). Glasgow, United Kingdom, 20-23 May 2024, pp. 1–6. https://doi.org/10.1109/I2MTC60896.2024.10561211en
dc.identifier.doihttps://doi.org/10.1109/I2MTC60896.2024.10561211en
dc.identifier.eissn2642-2077en
dc.identifier.endpage6en
dc.identifier.isbn979-8-3503-8090-3en
dc.identifier.isbn979-8-3503-8091-0en
dc.identifier.issn2642-2069en
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/16841
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartof2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). Glasgow, United Kingdom, 20-23 May 2024en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres Programme::Phase 1/16/RC/3918/IE/Confirm Centre for Smart Manufacturing/en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres Programme::Phase 1/16/RC/3835/IE/VistaMilk Centre/en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/en
dc.rights© 2024, 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.en
dc.subjectHuman-robot interfaceen
dc.subjectCollaborative roboticsen
dc.subjectTrusten
dc.subjectIMUen
dc.subjectGSRen
dc.titleAssessing trust in collaborative robotics with different human-robot interfacesen
dc.typeConference itemen
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