| dc.contributor.author | Riches, Lewis | |
| dc.contributor.author | Koay, Kheng | |
| dc.contributor.author | Holthaus, Patrick | |
| dc.contributor.editor | Cavallo, Filippo | |
| dc.contributor.editor | Fiorini, Laura | |
| dc.contributor.editor | Sorrentino, Alessandra | |
| dc.contributor.editor | Cabibihan, John-John | |
| dc.contributor.editor | He, Hongsheng | |
| dc.contributor.editor | Liu, Xiaorui | |
| dc.contributor.editor | Matsumoto, Yoshio | |
| dc.contributor.editor | Ge, Shuzhi Sam | |
| dc.date.accessioned | 2023-07-26T15:00:01Z | |
| dc.date.available | 2023-07-26T15:00:01Z | |
| dc.date.issued | 2023-02-02 | |
| dc.identifier.citation | Riches , L , Koay , K & Holthaus , P 2023 , Classification of Personal Data Used by Personalised Robot Companions Based on Concern of Exposure . in F Cavallo , L Fiorini , A Sorrentino , J-J Cabibihan , H He , X Liu , Y Matsumoto & S S Ge (eds) , Social Robotics : Proceedings of 14thInternational Conference on Social Robotics, ICSR 2022, Part II . vol. LNAI 13817 , Lecture Notes in Computer Science , Springer Nature , Florence, Italy , pp. 228-237 , 14th International Conference on Social Robotics , Florence , Italy , 13/12/22 . https://doi.org/10.1007/978-3-031-24667-8_21 | |
| dc.identifier.citation | conference | |
| dc.identifier.isbn | 978-3-031-24666-1 | |
| dc.identifier.isbn | 978-3-031-24667-8 | |
| dc.identifier.other | ORCID: /0000-0001-8450-9362/work/140766150 | |
| dc.identifier.uri | http://hdl.handle.net/2299/26560 | |
| dc.description | © 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 | |
| dc.description.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. | en |
| dc.format.extent | 10 | |
| dc.format.extent | 342560 | |
| dc.language.iso | eng | |
| dc.publisher | Springer Nature | |
| dc.relation.ispartof | Social Robotics | |
| dc.relation.ispartofseries | Lecture Notes in Computer Science | |
| dc.subject | Companion robots | |
| dc.subject | General data protection regulation | |
| dc.subject | Human-robot interaction | |
| dc.subject | Personal data security | |
| dc.subject | Personalisation | |
| dc.subject | Theoretical Computer Science | |
| dc.subject | General Computer Science | |
| dc.title | Classification of Personal Data Used by Personalised Robot Companions Based on Concern of Exposure | en |
| dc.contributor.institution | Centre for Computer Science and Informatics Research | |
| dc.contributor.institution | Adaptive Systems | |
| dc.contributor.institution | School of Physics, Engineering & Computer Science | |
| dc.contributor.institution | Department of Computer Science | |
| dc.date.embargoedUntil | 2024-02-02 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85149859641&partnerID=8YFLogxK | |
| rioxxterms.versionofrecord | 10.1007/978-3-031-24667-8_21 | |
| rioxxterms.type | Other | |
| herts.preservation.rarelyaccessed | true | |
