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dc.contributor.editorBösel, Bernd
dc.contributor.editorWiemer, Serjoscha
dc.creatorKasprowicz, Dawid
dc.date.accessioned2020-11-10T14:41:55Z
dc.date.available2020-11-10T14:41:55Z
dc.date.issued2020
dc.identifier.urihttps://mediarep.org/handle/doc/16015
dc.description.abstractThe growing field of human–robot collaborations has raised questions of how to behave when inter- acting with speaking and moving technological objects. One key idea here represents the notion of intuition as the promise of natural and effortless interaction with non-living objects. But intuition also refers to a non-rational, affective mode of reasoning. This article argues that in human–robot collaborations, intuition is not exhaustive in the promise of fluid interactions. In showing how social expectations are encoded in collaborative practices, the text argues that intuition becomes a modus operandi for the programming and modeling of affects.en
dc.languageeng
dc.publishermeson
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/
dc.subjectIntuitionde
dc.subjectMensch-Maschine-Beziehungde
dc.subjectAffektde
dc.subject.ddcddc:302.23
dc.titleEncoding Proximity: Intuition in Human–Robot Collaborationsen
dc.typebookPart
dc.type.statuspublishedVersion
local.source.spage121
local.source.epage133
dc.identifier.doihttps://doi.org/10.25969/mediarep/15026
local.source.booktitleAffective Transformations: Politics-Algorithms-Media
dc.relation.isPartOfisbn:978-3-95796-166-2
dc.relation.isPartOfdoi:https://doi.org/10.14619/1655
dc.publisher.placeLüneburg
local.coverpage2021-01-15T01:34:00
local.identifier.firstpublishedhttps://doi.org/10.14619/1655


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