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dc.contributor.authorMenon, Catherine
dc.contributor.authorHolthaus, Patrick
dc.contributor.editorNejad, Mohammad Rajabali
dc.date.accessioned2019-07-26T00:02:06Z
dc.date.available2019-07-26T00:02:06Z
dc.date.issued2019-03-28
dc.identifier.citationMenon , C & Holthaus , P 2019 , Does A Loss of Social Credibility Impact Robot Safety? in M R Nejad (ed.) , PESARO 2019 : Proceedings of the 9th International Conference on Performance, Safety and Robustness in Complex Systems and Applications . IARIA , pp. 18-25 , The Ninth International Conference on Performance, Safety and Robustness in Complex Systems and Applications , Valencia , Spain , 24/03/19 .
dc.identifier.citationconference
dc.identifier.isbn9781612086989
dc.identifier.otherORCID: /0000-0001-8450-9362/work/60743588
dc.identifier.otherORCID: /0000-0003-2072-5845/work/95373576
dc.identifier.urihttp://hdl.handle.net/2299/21473
dc.description.abstractThis position paper discusses the safety-related functions performed by assistive robots and explores the relationship between trust and effective safety risk mitigation. We identify a measure of the robot’s social effectiveness, termed social credibility, and present a discussion of how social credibility may be gained and lost. This paper’s contribution is the identification of a link between social credibility and safety-related performance. Accordingly, we draw on analyses of existing systems to demonstrate how an assistive robot’s safety-critical functionality can be impaired by a loss of social credibility. In addition, we present a discussion of some of the consequences of prioritising either safety-related functionality or social engagement. We propose the identification of a mixed-criticality scheduling algorithm in order to maximise both safety-related performance and social engagement.en
dc.format.extent8
dc.format.extent580689
dc.format.extent579497
dc.language.isoeng
dc.publisherIARIA
dc.relation.ispartofPESARO 2019
dc.titleDoes A Loss of Social Credibility Impact Robot Safety?en
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionAdaptive Systems
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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