Sociomorphing, Not Anthropomorphizing: Towards a Typology of Experienced Sociality

Johanna Seibt*, Christina Vestergaard, Malene Flensborg Damholdt

*Corresponding author af dette arbejde

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskningpeer review

34 Citationer (Scopus)

Abstract

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.
OriginalsprogEngelsk
TitelCulturally Sustainable Social Robotics : Proceedings of Robophilosophy 2020 August 18–21, 2020, Aarhus University and online
RedaktørerMarco Nørskov, Johanna Seibt, Oliver Santiago Quick
Antal sider17
UdgivelsesstedAmsterdam
ForlagIOS Press
Publikationsdato2020
Sider51-67
ISBN (Trykt)9781643681542
ISBN (Elektronisk)978-1-64368-155-9
DOI
StatusUdgivet - 2020
BegivenhedRobophilosophy 2020 - Aarhus University and online, Danmark
Varighed: 18 aug. 202021 aug. 2020

Konference

KonferenceRobophilosophy 2020
Land/OmrådeDanmark
ByAarhus University and online
Periode18/08/202021/08/2020
NavnFrontiers in Artificial Intelligence and Applications
Vol/bind335
ISSN0922-6389

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