Classification of Personal Data Used by Personalised Robot Companions Based on Concern of Exposure
We present a paper looking at the accidental exposure of personal data by personalised companion robots in human-robot interaction. Due to the need for personal data, personalisation brings inherent risk of accidental personal data exposure through multi-modal communication. An online questionnaire was conducted to collect perceptions on the level of concern of personal data being exposed. The personal data examined in this paper has been used to personalise a companion robot along with links to the UK general data protection act. The level of concern for these personal data has been classified into high, medium and low concern with guidelines provided on how these different classifications should be handled by a robot. Evidence has also been found that age, gender, extroversion and conscientiousness influence a person's perceptions on personal data exposure concern.
Item Type | Book Section |
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Additional information | © 2022 The Editor(s) and The Author(s), under exclusive license to Springer Nature Switzerland AG. This is the accepted manuscript version of a conference paper that has been published in final form at https://doi.org/10.1007/978-3-031-24670-8 |
Keywords | companion robots, general data protection regulation, human-robot interaction, personal data security, personalisation, theoretical computer science, general computer science |
Date Deposited | 15 May 2025 16:48 |
Last Modified | 04 Jun 2025 17:17 |
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picture_as_pdf - classification_of_personal_data.pdf
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subject - Submitted Version