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  1. Social appropriateness in HMI.Ricarda Wullenkord, Jacqueline Bellon, Bruno Gransche, Sebastian Nähr-Wagener & Friederike Eyssel - 2022 - Interaction Studies 23 (3):360-390.
    Social appropriateness is an important topic – both in the human-human interaction (HHI), and in the human-machine interaction (HMI) context. As sociosensitive and socioactive assistance systems advance, the question arises whether a machine’s behavior should include considerations regarding social appropriateness. However, the concept of social appropriateness is difficult to define, as it is determined by multiple aspects. Thus, to date, a unified perspective, encompassing and combining multidisciplinary findings, is missing. When translating results from HHI to HMI, it remains unclear whether (...)
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  • Can nurses in clinical practice ascribe responsibility to intelligent robots?Jerick Tabudlo, Letty Kuan & Paul Froilan Garma - 2022 - Nursing Ethics 29 (6):1457-1465.
    Background The twenty first- century marked the exponential growth in the use of intelligent robots and artificial intelligent in nursing compared to the previous decades. To the best of our knowledge, this article is first in responding to question, “Can nurses in clinical practice ascribe responsibility to intelligent robots and artificial intelligence when they commit errors?”. Purpose The objective of this article is to present two worldviews (anthropocentrism and biocentrism) in responding to the question at hand chosen based on the (...)
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  • Towards socially-competent and culturally-adaptive artificial agents.Chiara Bassetti, Enrico Blanzieri, Stefano Borgo & Sofia Marangon - 2022 - Interaction Studies 23 (3):469-512.
    The development of artificial agents for social interaction pushes to enrich robots with social skills and knowledge about (local) social norms. One possibility is to distinguish the expressive and the functional orders during a human-robot interaction. The overarching aim of this work is to set a framework to make the artificial agent socially-competent beyond dyadic interaction – interaction in varying multi-party social situations – and beyond individual-based user personalization, thereby enlarging the current conception of “culturally-adaptive”. The core idea is to (...)
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  • A matter of consequences.Alessandra Rossi, Kerstin Dautenhahn, Kheng Lee Koay & Michael L. Walters - 2023 - Interaction Studies 24 (3):380-421.
    On reviewing the literature regarding acceptance and trust in human-robot interaction (HRI), there are a number of open questions that needed to be addressed in order to establish effective collaborations between humans and robots in real-world applications. In particular, we identified four principal open areas that should be investigated to create guidelines for the successful deployment of robots in the wild. These areas are focused on: (1) the robot’s abilities and limitations; in particular when it makes errors with different severity (...)
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  • The Role of Frustration in Human–Robot Interaction – What Is Needed for a Successful Collaboration?Alexandra Weidemann & Nele Rußwinkel - 2021 - Frontiers in Psychology 12:640186.
    To realize a successful and collaborative interaction between human and robots remains a big challenge. Emotional reactions of the user provide crucial information for a successful interaction. These reactions carry key factors to prevent errors and fatal bidirectional misunderstanding. In cases where human–machine interaction does not proceed as expected, negative emotions, like frustration, can arise. Therefore, it is important to identify frustration in a human–machine interaction and to investigate its impact on other influencing factors such as dominance, sense of control (...)
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