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dc.contributor.authorScheunemann, Marcus M.
dc.contributor.authorSalge, Christoph
dc.contributor.authorDautenhahn, Kerstin
dc.contributor.editorAlthoefer, Kaspar
dc.contributor.editorKonstantinova, Jelizaveta
dc.contributor.editorZhang, Ketao
dc.date.accessioned2019-09-25T00:02:55Z
dc.date.available2019-09-25T00:02:55Z
dc.date.issued2019-06-28
dc.identifier.citationScheunemann , M M , Salge , C & Dautenhahn , K 2019 , Intrinsically Motivated Autonomy in Human-Robot Interaction: Human Perception of Predictive Information in Robots . in K Althoefer , J Konstantinova & K Zhang (eds) , Towards Autonomous Robotic Systems - 20th Annual Conference, TAROS 2019, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol. 11649 LNAI , Springer Verlag , pp. 325-337 , 20th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2019 , London , United Kingdom , 3/07/19 . https://doi.org/10.1007/978-3-030-23807-0_27
dc.identifier.citationconference
dc.identifier.isbn9783030238063
dc.identifier.issn0302-9743
dc.identifier.otherPURE: 17414642
dc.identifier.otherPURE UUID: 200ccb38-fa9f-45a2-aca1-3468c720795f
dc.identifier.otherScopus: 85068959812
dc.identifier.otherORCID: /0000-0002-0815-7024/work/62752104
dc.identifier.urihttp://hdl.handle.net/2299/21698
dc.description© Springer Nature Switzerland AG 2019
dc.description.abstractIn this paper we present a fully autonomous and intrinsically motivated robot usable for HRI experiments. We argue that an intrinsically motivated approach based on the Predictive Information formalism, like the one presented here, could provide us with a pathway towards autonomous robot behaviour generation, that is capable of producing behaviour interesting enough for sustaining the interaction with humans and without the need for a human operator in the loop. We present a possible reactive baseline behaviour for comparison for future research. Participants perceive the baseline and the adaptive, intrinsically motivated behaviour differently. In our exploratory study we see evidence that participants perceive an intrinsically motivated robot as less intelligent than the reactive baseline behaviour. We argue that is mostly due to the high adaptation rate chosen and the design of the environment. However, we also see that the adaptive robot is perceived as more warm, a factor which carries more weight in interpersonal interaction than competence.en
dc.format.extent13
dc.language.isoeng
dc.publisherSpringer Verlag
dc.relation.ispartofTowards Autonomous Robotic Systems - 20th Annual Conference, TAROS 2019, Proceedings
dc.relation.ispartofseriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.subjectAutonomous human-robot interaction
dc.subjectAutonomous robots
dc.subjectCognitive robotics
dc.subjectHuman-robot interaction
dc.subjectInformation theory
dc.subjectIntrinsic motivation
dc.subjectPredictive information
dc.subjectRobot behaviour
dc.subjectRobot control
dc.subjectRobotics
dc.subjectSustained interaction
dc.subjectHuman-Computer Interaction
dc.subjectComputer Science Applications
dc.subjectComputer Science(all)
dc.subjectTheoretical Computer Science
dc.titleIntrinsically Motivated Autonomy in Human-Robot Interaction: Human Perception of Predictive Information in Robotsen
dc.contributor.institutionAdaptive Systems
dc.date.embargoedUntil2020-06-28
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85068959812&partnerID=8YFLogxK
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1007/978-3-030-23807-0_27
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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