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  1. A critical analysis of the representations of older adults in the field of human–robot interaction.Dafna Burema - 2022 - AI and Society 37 (2):455-465.
    This paper argues that there is a need to critically assess bias in the representations of older adults in the field of Human–Robot Interaction. This need stems from the recognition that technology development is a socially constructed process that has the potential to reinforce problematic understandings of older adults. Based on a qualitative content analysis of 96 academic publications, this paper indicates that older adults are represented as; frail by default, independent by effort; silent and technologically illiterate; burdensome; and problematic (...)
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  • Empathic responses and moral status for social robots: an argument in favor of robot patienthood based on K. E. Løgstrup.Simon N. Balle - 2022 - AI and Society 37 (2):535-548.
    Empirical research on human–robot interaction has demonstrated how humans tend to react to social robots with empathic responses and moral behavior. How should we ethically evaluate such responses to robots? Are people wrong to treat non-sentient artefacts as moral patients since this rests on anthropomorphism and ‘over-identification’ —or correct since spontaneous moral intuition and behavior toward nonhumans is indicative for moral patienthood, such that social robots become our ‘Others’?. In this research paper, I weave extant HRI studies that demonstrate empathic (...)
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  • A critique of robotics in health care.Arne Maibaum, Andreas Bischof, Jannis Hergesell & Benjamin Lipp - 2022 - AI and Society 37 (2):467-477.
    When the social relevance of robotic applications is addressed today, the use of assistive technology in care settings is almost always the first example. So-called care robots are presented as a solution to the nursing crisis, despite doubts about their technological readiness and the lack of concrete usage scenarios in everyday nursing practice. We inquire into this interconnection of social robotics and care. We show how both are made available for each other in three arenas: innovation policy, care organization, and (...)
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  • Socially robotic: making useless machines.Ceyda Yolgormez & Joseph Thibodeau - 2022 - AI and Society 37 (2):565-578.
    As robots increasingly become part of our everyday lives, questions arise with regards to how to approach them and how to understand them in social contexts. The Western history of human–robot relations revolves around competition and control, which restricts our ability to relate to machines in other ways. In this study, we take a relational approach to explore different manners of socializing with robots, especially those that exceed an instrumental approach. The nonhuman subjects of this study are built to explore (...)
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  • Social robots and the risks to reciprocity.Aimee van Wynsberghe - 2022 - AI and Society 37 (2):479-485.
    A growing body of research can be found in which roboticists are designing for reciprocity as a key construct for successful human–robot interaction (HRI). Given the centrality of reciprocity as a component for our moral lives (for moral development and maintaining the just society), this paper confronts the possibility of what things would look like if the benchmark to achieve perceived reciprocity were accomplished. Through an analysis of the value of reciprocity from the care ethics tradition the richness of reciprocity (...)
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  • Designerly ways of knowing in HRI: Broadening the scope of design-oriented HRI through the concept of intermediate-level knowledge.M. L. Lupetti, Cristina Zaga & N. Cila - unknown
    Interest in design methods and tools has been steadily growing in HRI. Yet, design is not acknowledged as a discipline with specific epistemology and methodology. Designerly HRI work is validated through user studies which, we argue, provide a limited account of the knowledge design produces. This paper aims to broaden current understanding of designerly HRI work and its contributions by unpacking what designerly knowledge is and how to produce it. Through a critical analysis of current HRI design literature, we identify (...)
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  • Service robots for affective labor: a sociology of labor perspective.Anna Dobrosovestnova, Glenda Hannibal & Tim Reinboth - 2022 - AI and Society 37 (2):487-499.
    Profit-oriented service sectors such as tourism, hospitality, and entertainment are increasingly looking at how professional service robots can be integrated into the workplace to perform socio-cognitive tasks that were previously reserved for humans. This is a work in which social and labor sciences recognize the principle role of emotions. However, the models and narratives of emotions that drive research, design, and deployment of service robots in human–robot interaction differ considerably from how emotions are framed in the sociology of labor and (...)
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  • Can communication with social robots influence how children develop empathy? Best-evidence synthesis.Ekaterina Pashevich - 2022 - AI and Society 37 (2):579-589.
    Social robots are gradually entering children’s lives in a period when children learn about social relationships and exercise prosocial behaviors with parents, peers, and teachers. Designed for long-term emotional engagement and to take the roles of friends, teachers, and babysitters, such robots have the potential to influence how children develop empathy. This article presents a review of the literature in the fields of human–robot interaction, psychology, neuropsychology, and roboethics, discussing the potential impact of communication with social robots on children’s social (...)
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  • Robotification & ethical cleansing.Marco Nørskov - 2022 - AI and Society 37 (2):425-441.
    Robotics is currently not only a cutting-edge research area, but is potentially disruptive to all domains of our lives—for better and worse. While legislation is struggling to keep pace with the development of these new artifacts, our intellectual limitations and physical laws seem to present the only hard demarcation lines, when it comes to state-of-the-art R&D. To better understand the possible implications, the paper at hand critically investigates underlying processes and structures of robotics in the context of Heidegger’s and Nishitani’s (...)
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  • Robots beyond Science Fiction: mutual learning in human–robot interaction on the way to participatory approaches.Astrid Weiss & Katta Spiel - 2022 - AI and Society 37 (2):501-515.
    Putting laypeople in an active role as direct expert contributors in the design of service robots becomes more and more prominent in the research fields of human–robot interaction and social robotics. Currently, though, HRI is caught in a dilemma of how to create meaningful service robots for human social environments, combining expectations shaped by popular media with technology readiness. We recapitulate traditional stakeholder involvement, including two cases in which new intelligent robots were conceptualized and realized for close interaction with humans. (...)
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  • The case of classroom robots: teachers’ deliberations on the ethical tensions.Sofia Serholt, Wolmet Barendregt, Asimina Vasalou, Patrícia Alves-Oliveira, Aidan Jones, Sofia Petisca & Ana Paiva - 2017 - AI and Society 32 (4):613-631.
    Robots are increasingly being studied for use in education. It is expected that robots will have the potential to facilitate children’s learning and function autonomously within real classrooms in the near future. Previous research has raised the importance of designing acceptable robots for different practices. In parallel, scholars have raised ethical concerns surrounding children interacting with robots. Drawing on a Responsible Research and Innovation perspective, our goal is to move away from research concerned with designing features that will render robots (...)
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  • Should my robot know what's best for me? Human–robot interaction between user experience and ethical design.Nora Fronemann, Kathrin Pollmann & Wulf Loh - 2022 - AI and Society 37 (2):517-533.
    To integrate social robots in real-life contexts, it is crucial that they are accepted by the users. Acceptance is not only related to the functionality of the robot but also strongly depends on how the user experiences the interaction. Established design principles from usability and user experience research can be applied to the realm of human–robot interaction, to design robot behavior for the comfort and well-being of the user. Focusing the design on these aspects alone, however, comes with certain ethical (...)
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  • What is the message of the robot medium? Considering media ecology and mobilities in critical robotics research.Julia M. Hildebrand - 2022 - AI and Society 37 (2):443-453.
    This article makes the case for including frameworks of media ecology and mobilities research in the shaping of critical robotics research for a human-centered and holistic lens onto robot technologies. The two meta-disciplines, which align in their attention to relational processes of communication and movement, provide useful tools for critically exploring emerging human–robot dimensions and dynamics. Media ecology approaches human-made technologies as media that can shape the way we think, feel, and act. Relatedly, mobilities research highlights various kinds of influential (...)
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  • Moving beyond the mirror: relational and performative meaning making in human–robot communication.Petra Gemeinboeck & Rob Saunders - 2022 - AI and Society 37 (2):549-563.
    Current research in human–robot interaction often focuses on rendering communication between humans and robots more ‘natural’ by designing machines that appear and behave humanlike. Communication, in this human-centric approach, is often understood as a process of successfully transmitting information in the form of predefined messages and gestures. This article introduces an alternative arts-led, movement-centric approach, which embraces the differences of machinelike robotic artefacts and, instead, investigates how meaning is dynamically enacted in the encounter of humans and machines. Our design approach (...)
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