Callander, N., Ramirez-Duque, A. A. and Foster, M. E. (2024) Navigating the Human-Robot Interaction Landscape. Practical Guidelines for Privacy-Conscious Social Robots. In: 19th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI 2024), Boulder, Colorado, USA, 11-15 March 2024, pp. 283-287. ISBN 9798400703232 (doi: 10.1145/3610978.3640637)
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Abstract
Social robots are a type of robotics that focuses on creating intelligent and embodied machines capable of interacting and communicating with humans in a socially acceptable manner. However, these robots' potential to capture user data, including emotions, biometrics, and behavioural habits, raises significant privacy concerns that could influence users' intention to use and trust social robots. Therefore, there is a pressing need to synthesize a privacy model that helps unravel the complex behavioural processes underlying current and future HRI technologies. This work aims to contribute to the growing body of privacy-friendly robot design by proposing comprehensive guidelines that enable the development of trustworthy and transparent social robots that respect user privacy. We have established a set of theoretical constructs to address people's concerns regarding privacy across four dimensions: physical, informational, psychological, and social. Finally, guidelines are provided in each construct to enhance transparency and trust through compliance with laws like GDPR.
| Item Type: | Conference Proceedings |
|---|---|
| Keywords: | Privacy, trust, transparency, acceptability, human-robot interaction. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Ramirez-Duque, Dr Andres and Foster, Dr Mary Ellen |
| Authors: | Callander, N., Ramirez-Duque, A. A., and Foster, M. E. |
| College/School: | College of Science and Engineering > School of Computing Science |
| ISBN: | 9798400703232 |
| Published Online: | 11 March 2024 |
| Copyright Holders: | © 2024 Copyright held by the owner/author(s) |
| First Published: | First published in HRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction: 283-287 |
| Publisher Policy: | Reproduced under a Creative Commons license |
| Related URLs: |
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