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dc.contributor.authorHolthaus, Patrick
dc.contributor.authorWachsmuth, Sven
dc.date.accessioned2021-03-01T00:07:12Z
dc.date.available2021-03-01T00:07:12Z
dc.date.issued2021-11
dc.identifier.citationHolthaus , P & Wachsmuth , S 2021 , ' It was a Pleasure Meeting You : Towards a Holistic Model of Human-Robot Encounters ' , International Journal of Social Robotics , vol. 13 , no. 7 , pp. 1729-1745 . https://doi.org/10.1007/s12369-021-00759-9
dc.identifier.issn1875-4805
dc.identifier.otherORCID: /0000-0001-8450-9362/work/103825245
dc.identifier.urihttp://hdl.handle.net/2299/23970
dc.description© The Author(s). This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1007/s12369-021-00759-9
dc.description.abstractSocial signals are commonly used to facilitate the usability of humanoid robots. While providing the robot with an extended expressibility, these signals are often applied only in structured interactions where parts of the familiarization or farewell processes are disregarded in the evaluation. In order to establish the consideration of a more comprehensive view, this article presents a holistic model of human encounters with a social robot. We propose and discuss particular robot signals, which aim to express the robot's social awareness, for each of the model's phases. We present an interaction study with humans that are inexperienced in interacting with robots to investigate the effects of these signals. Results verify that the implementation of proposed signals is beneficial for the participants' user experience. The study further reveals a strong interdependency of a robot's social signals and the importance of addressing entire encounters in human-robot interaction studies.en
dc.format.extent17
dc.format.extent1553030
dc.language.isoeng
dc.relation.ispartofInternational Journal of Social Robotics
dc.subjectHolistic human–robot encounters
dc.subjectNonverbal signals
dc.subjectUser study
dc.subjectComputer Science(all)
dc.titleIt was a Pleasure Meeting You : Towards a Holistic Model of Human-Robot Encountersen
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionAdaptive Systems
dc.description.statusPeer reviewed
dc.date.embargoedUntil2022-02-22
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85101906514&partnerID=8YFLogxK
rioxxterms.versionofrecord10.1007/s12369-021-00759-9
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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