Sociomorphing, Not Anthropomorphizing: Towards a Typology of Experienced Sociality

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DOI

Social robotics and HRI are in need of a unified and differentiated theoretical framework where, relative to interaction context, robotic properties can be related to types of human experiences and interactive dispositions. The aim of this paper is to contribute to this task by providing new descriptive tools. In social robotics and HRI it is commonly assumed that social interactions with robots are due to ‘anthropomorphizing’. We challenge this assumption and argue, on conceptual and empirical grounds, that social interactions with robots are not always the result of anthropomorphizing, i.e., the projection of imaginary or fictional human social capacities, but of sociomorphing, i.e., the perception of actual non-human social capacities. Sociomorphing can take many forms which phenomenally manifest themselves in various types of experienced sociality. We very briefly sketch core elements of the descriptive framework OASIS (the Ontology of Asymmetric Social Interactions) in order to show how one might develop a classificatory system for types of experienced sociality.
Original languageEnglish
Title of host publicationCulturally Sustainable Social Robotics : Proceedings of Robophilosophy 2020 August 18–21, 2020, Aarhus University and online
EditorsMarco Nørskov, Johanna Seibt, Oliver Santiago Quick
Number of pages17
Place of publicationAmsterdam
PublisherIOS Press
Publication year2020
Pages51-67
ISBN (print)9781643681542
ISBN (Electronic)978-1-64368-155-9
DOIs
Publication statusPublished - 2020
EventRobophilosophy 2020 - Aarhus University and online, Denmark
Duration: 18 Aug 202021 Aug 2020

Conference

ConferenceRobophilosophy 2020
LandDenmark
ByAarhus University and online
Periode18/08/202021/08/2020
SeriesFrontiers in Artificial Intelligence and Applications
Volume335
ISSN0922-6389

    Research areas

  • Social robotics, anthropomorphism, asymmetric sociality, forms of simulation, levels of sociality, ontology of human-robot interaction

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ID: 200905415