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            More Than Machines?

            The Attribution of (In)Animacy to Robot Technology

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            Author(s)
            Voss, Laura
            Language
            English
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            Abstract
            We know that robots are just machines. Why then do we often talk about them as if they were alive? Laura Voss explores this fascinating phenomenon, providing a rich insight into practices of animacy (and inanimacy) attribution to robot technology: from science-fiction to robotics R&D, from science communication to media discourse, and from the theoretical perspectives of STS to the cognitive sciences. Taking an interdisciplinary perspective, and backed by a wealth of empirical material, Voss shows how scientists, engineers, journalists - and everyone else - can face the challenge of robot technology appearing »a little bit alive« with a reflexive and yet pragmatic stance.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/179888
            Keywords
            Robot; Artificial Intelligence; Animacy; Anthropomorphism; Agency; Technology; Society; Science; Sociology of Technology; Sociology of Culture; Sociology of Work and Industry; Sociology; thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDR Impact of science and technology on society; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCC Cultural studies; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBL Sociology: work and labour
            DOI
            10.14361/9783839455609
            ISBN
            9783839455609, 9783837655605
            Publisher
            transcript Verlag
            Publisher website
            http://www.transcript-verlag.de
            Publication date and place
            Bielefeld, 2021
            Imprint
            transcript Verlag
            Series
            Science Studies,
            Pages
            216
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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