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    Chapter 3 How to Design Robots with Superpowers

    Proposal review

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    Author(s)
    Neuhaus, Robin
    Ringfort-Felner, Ronda
    Dörrenbächer, Judith
    Hassenzahl, Marc
    Language
    English
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    Abstract
    Robots are often designed to increase efficiency. They are typically positioned in a particular field of application to replace humans, making someone’s work obsolete. But robots are able to complement the humans they work with through collaboration and the incorporation of the psychological strengths that robots can have in social situations. This chapter presents a co-design method based on a possibility-driven design approach and “robotic superpowers” (a concept that originated from Welge, Hassenzahl, Dörrenbächer and colleagues). Social robots can offer new, positive experiences and constructively impact work practices that incorporate their social strengths, such as endless patience or unbiased selection. To that end, the chapter describes a three-step design process by collecting existing work practices, defining scenario-specific robotic superpowers, and developing concepts for future robots. To illustrate possible outcomes, the authors showcase several exemplary concepts created using this new process.
    Book
    Meaningful Futures with Robot
    URI
    https://library.oapen.org/handle/20.500.12657/59256
    Keywords
    a, aI, Coexistence, Designing, Dorrenbacher, Dörrenbächer, et, Felner, Futures, Hassenzahl, Judith, Marc, Meaningful, Neuhaus, New, Ringfort, Robin, Robots, Ronda
    DOI
    10.1201/9781003287445-3
    ISBN
    9781032262673, 9781032246482, 9781003287445
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    2023
    Imprint
    CRC Press
    Classification
    Computing and Information Technology
    Robotics
    Human–computer interaction
    Pages
    12
    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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