Abstract
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.
Original language | English |
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Title of host publication | Social Robotics |
Subtitle of host publication | Proceedings of 14thInternational Conference on Social Robotics, ICSR 2022, Part II |
Editors | Filippo Cavallo, Laura Fiorini, Alessandra Sorrentino, John-John Cabibihan, Hongsheng He, Xiaorui Liu, Yoshio Matsumoto, Shuzhi Sam Ge |
Place of Publication | Florence, Italy |
Publisher | Springer Nature Link |
Chapter | Contents – Part I |
Pages | 228-237 |
Number of pages | 10 |
Volume | LNAI 13817 |
ISBN (Electronic) | 978-3-031-24667-8 |
ISBN (Print) | 978-3-031-24666-1 |
DOIs | |
Publication status | Published - 2 Feb 2023 |
Event | 14th International Conference on Social Robotics - Florence, Italy Duration: 13 Dec 2022 → 16 Dec 2022 https://www.icsr2022.it/ |
Publication series
Name | Lecture Notes in Computer Science |
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Conference
Conference | 14th International Conference on Social Robotics |
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Abbreviated title | ICSR |
Country/Territory | Italy |
City | Florence |
Period | 13/12/22 → 16/12/22 |
Internet address |
Keywords
- Companion robots
- General data protection regulation
- Human-robot interaction
- Personal data security
- Personalisation