Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/33018
Title: Dances with robots: navigating power imbalances in behavioural signal exchanges
Authors: Hone, K
Issue Date: 16-Mar-2026
Publisher: University of Bremen
Citation: Hone, K. (2026) 'Dances with robots: navigating power imbalances in behavioural signal exchanges', HRI 2026 Workshop on Empowering Human-Robot Communication Through Non-Linguistic Pathways (HuRoCo @ HRI 2026), Edinburgh, Scotland, 16 March, pp. 1–2. Available at: https://dml.uni-bremen.de/huroco/HRI2026/papers/Navigating_Power_Imbalances_in_Behavioural_Signal_Exchanges.pdf (Accessed: 20 March 2026).
Abstract: This paper examines the role of non-verbal social signals in human–robot interaction, drawing on established findings from human communication research and recent developments in automated social signal processing. I argue that current regulatory approaches, particularly within the EU AI Act, insufficiently address the way robots may use behavioural signals to influence interaction outcomes.
URI: https://bura.brunel.ac.uk/handle/2438/33018
Other Identifiers: https://dml.uni-bremen.de/huroco/HRI2026/papers/Navigating_Power_Imbalances_in_Behavioural_Signal_Exchanges.pdf
https://dml.uni-bremen.de/huroco/HRI2026/papers/Navigating_Power_Imbalances_in_Behavioural_Signal_Exchanges.pdf
ORCiD: Kate Hone https://orcid.org/0000-0001-5394-8354
Appears in Collections:Department of Computer Science Research Papers

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