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The concept of “interaction” in debates on human–machine interaction

Author

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  • Sebastian Schleidgen

    (FernUniversität in Hagen)

  • Orsolya Friedrich

    (FernUniversität in Hagen)

  • Selin Gerlek

    (University of Amsterdam)

  • Galia Assadi

    (Evangelische Hochschule Nürnberg)

  • Johanna Seifert

    (FernUniversität in Hagen)

Abstract

The concept of “interaction” is central to debates on Human–machine interaction (HMI). At the same time, however, it is vague and ambiguous: “interaction” is understood in different ways within and between the scientific disciplines involved in debates on HMI. Ultimately, this makes it difficult to reasonably debate questions of ethics, politics, engineering, and the sciences regarding HMI. Against this background, we elaborate and analyze the different meanings and dimensions of the term “interaction” in the disciplines and discourses relevant to debates on modern HMI. For this purpose, we introduce a four-dimensional SMPC model, according to which “interaction” is specified with a view to its subjects, modes, purposes, and contexts. With this, we aim to provide a basis for a fruitful intra- and particularly interdisciplinary discourse on HMI.

Suggested Citation

  • Sebastian Schleidgen & Orsolya Friedrich & Selin Gerlek & Galia Assadi & Johanna Seifert, 2023. "The concept of “interaction” in debates on human–machine interaction," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    • Handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-02060-8
    DOI: 10.1057/s41599-023-02060-8
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    1. Scott Mayer McKinney & Marcin Sieniek & Varun Godbole & Jonathan Godwin & Natasha Antropova & Hutan Ashrafian & Trevor Back & Mary Chesus & Greg S. Corrado & Ara Darzi & Mozziyar Etemadi & Florencia G, 2020. "International evaluation of an AI system for breast cancer screening," Nature, Nature, vol. 577(7788), pages 89-94, January.
    2. Scott Mayer McKinney & Marcin Sieniek & Varun Godbole & Jonathan Godwin & Natasha Antropova & Hutan Ashrafian & Trevor Back & Mary Chesus & Greg S. Corrado & Ara Darzi & Mozziyar Etemadi & Florencia G, 2020. "Addendum: International evaluation of an AI system for breast cancer screening," Nature, Nature, vol. 586(7829), pages 19-19, October.
    3. Meel Velliste & Sagi Perel & M. Chance Spalding & Andrew S. Whitford & Andrew B. Schwartz, 2008. "Cortical control of a prosthetic arm for self-feeding," Nature, Nature, vol. 453(7198), pages 1098-1101, June.
    4. Anna Nowogrodzki, 2018. "The research hardware in your video-game system," Nature, Nature, vol. 553(7686), pages 115-116, January.
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