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dc.contributor.authorHolthaus, Patrick
dc.contributor.authorSchulz, Trenton
dc.contributor.authorLakatos, Gabriella
dc.contributor.authorSoma, Rebekka
dc.date.accessioned2023-07-07T18:00:01Z
dc.date.available2023-07-07T18:00:01Z
dc.date.issued2023-03-13
dc.identifier.citationHolthaus , P , Schulz , T , Lakatos , G & Soma , R 2023 , Communicative Robot Signals: Presenting a New Typology for Human-Robot Interaction . in HRI '23: Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction . ACM Press , pp. 132-141 , 18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023 , Stockholm , Sweden , 13/03/23 . https://doi.org/10.1145/3568162.3578631
dc.identifier.citationconference
dc.identifier.isbn9781450399647
dc.identifier.otherORCID: /0000-0001-8450-9362/work/138281113
dc.identifier.urihttp://hdl.handle.net/2299/26483
dc.description© 2023 The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/
dc.description.abstractWe present a new typology for classifying signals from robots when they communicate with humans. For inspiration, we use ethology, the study of animal behaviour and previous efforts from literature as guides in defining the typology. The typology is based on communicative signals that consist of five properties: the origin where the signal comes from, the deliberateness of the signal, the signal's reference, the genuineness of the signal, and its clarity (i.e. how implicit or explicit it is). Using the accompanying worksheet, the typology is straightforward to use to examine communicative signals from previous human-robot interactions and provides guidance for designers to use the typology when designing new robot behaviours.en
dc.format.extent10
dc.format.extent1160909
dc.language.isoeng
dc.publisherACM Press
dc.relation.ispartofHRI '23: Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction
dc.subjectcommunicative signals
dc.subjecthuman-robot interaction
dc.subjectmodel
dc.subjecttypology
dc.subjectArtificial Intelligence
dc.subjectHuman-Computer Interaction
dc.subjectElectrical and Electronic Engineering
dc.titleCommunicative Robot Signals: Presenting a New Typology for Human-Robot Interactionen
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Computer Science
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85150339873&partnerID=8YFLogxK
rioxxterms.versionofrecord10.1145/3568162.3578631
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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