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dc.contributor.authorFoerster, Frank
dc.contributor.authorAlthoefer, Kaspar
dc.date.accessioned2021-03-04T00:07:25Z
dc.date.available2021-03-04T00:07:25Z
dc.date.issued2021-01-16
dc.identifier.citationFoerster , F & Althoefer , K 2021 , ' Attribution of Autonomy and its Role in Robotic Language Acquisition ' , AI and Society . https://doi.org/10.1007/s00146-020-01114-8
dc.identifier.issn0951-5666
dc.identifier.urihttp://hdl.handle.net/2299/24008
dc.description© The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
dc.description.abstractThe false attribution of autonomy and related concepts to artificial agents that lack the attributed levels of the respective characteristic is problematic in many ways. In this article we contrast this view with a positive viewpoint that emphasizes the potential role of such false attributions in the context of robotic language acquisition. By adding emotional displays and congruent body behaviors to a child-like humanoid robot’s behavioral repertoire we were able to bring naïve human tutors to engage in so called intent interpretations. In developmental psychology, intent interpretations can be hypothesized to play a central role in the acquisition of emotion, volition, and similar autonomy-related words. The aforementioned experiments originally targeted the acquisition of linguistic negation. However, participants produced other affect- and motivation-related words with high frequencies too and, as a consequence, these entered the robot’s active vocabulary. We will analyze participants’ non-negative emotional and volitional speech and contrast it with participants’ speech in a non-affective baseline scenario. Implications of these findings for robotic language acquisition in particular and artificial intelligence and robotics more generally will also be discussed.en
dc.format.extent13
dc.format.extent854987
dc.language.isoeng
dc.relation.ispartofAI and Society
dc.subjectHuman-Robot Interaction
dc.subjectlanguage acquisition
dc.subjectattribution of autonomy
dc.subjectattribution of agency
dc.titleAttribution of Autonomy and its Role in Robotic Language Acquisitionen
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.description.statusPeer reviewed
rioxxterms.versionofrecordhttps://doi.org/10.1007/s00146-020-01114-8
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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