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        Communicative AI in (Inter-)Action

        Investigating Human-Machine Encounters outside the Laboratory

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        Contributor(s)
        Muhle, Florian (editor)
        Bock, Indra (editor)
        Language
        English
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        Abstract
        So far, human-machine encounters have primarily been tested and monitored in controlled laboratory settings. However, the first robots that are used in care, service and education are already being sold commercially. The contributors grapple with methodological challenges in investigating communicative AI systems in (inter-)action. They investigate how these studies can be composed and what kinds of insights such research can provide. With this, the anthology brings together contributions from a growing community of researchers who are committed to exploring communicative AI »in (inter-)action« by using and adapting qualitative (and mostly ethnographic) methods.
        URI
        https://library.oapen.org/handle/20.500.12657/95962
        Keywords
        Communicative AI; Social Robotics; Smart Assistants; Human-Machine Interaction; Qualitative Research; Technology; Social Relations; Sociology of Technology; Philosophy of Technology; Sociology of Work and Industry; Digital Media; Bielefeld University Press
        DOI
        10.14361/9783839475010
        ISBN
        9783839475010, 9783839475010, 9783837675016
        Publisher
        Bielefeld University Press
        Publisher website
        https://www.bielefeld-university-press.org/
        Publication date and place
        2024
        Imprint
        Bielefeld University Press
        Series
        BiUP General,
        Classification
        Impact of science and technology on society
        Topics in philosophy
        Sociology: work and labour
        Pages
        270
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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