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    Becoming Real: An Anthropological Approach to Evaluating Robots in the Real World


    Veling, Louise (2017) Becoming Real: An Anthropological Approach to Evaluating Robots in the Real World. In: Social Robotics. ICSR 2017. Lecture Notes in Computer Science (10652). Springer, Cham, Switzerland, pp. 638-646. ISBN 978-3-319-70022-9

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    Abstract

    This paper proposes an alternative approach to evaluating Human- Robot Interaction (HRI), drawing on the field of Anthropology. Considering the user in the traditional robot-environment dyad has major practical and philosophical implications. This paper contends that the traditional scientific method, by itself, is not sufficient to account for the complexity and social nature of the interaction. Instead, it should be complemented with exploratory, ethnographic and reflexive research in order to make additional philosophical, practical and ethical contributions. The HRI evaluation model proposed in this paper builds on existing HRI models and draws on theories and methodologies from the field of Anthropology. It applies a ‘refunctioned’ approach to ethnography, in which roboticists and anthropologists collaborate to evaluate robot interactions from an ethnographic, experimental and ethical perspective to reconcile three distinct ontological views of the user experience: robot-centric, human-centred, and societal impact. The model represents a formative approach to evaluation, in which early-stage explorative and empirical data is used to capture a holistic view of the interaction. This descriptive data may subsequently be parsed to develop specific and testable hypotheses and design principles.
    Item Type: Book Section
    Additional Information: This paper was presented at the 9th International Conference, ICSR 2017, Tsukuba, Japan, November 22-24, 2017.
    Keywords: Human-Robot Interaction; Ethnography; HRI evaluation; Social robotics; User evaluation;
    Academic Unit: Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI
    Item ID: 12070
    Identification Number: 10.1007/978-3-319-70022-9_63
    Depositing User: Louise Veling
    Date Deposited: 02 Jan 2020 13:28
    Publisher: Springer
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/12070
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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