Classification of Personal Data Used by Personalised Robot Companions Based on Concern of Exposure

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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 languageEnglish
Title of host publicationSocial Robotics
Subtitle of host publicationProceedings of 14thInternational Conference on Social Robotics, ICSR 2022, Part II
EditorsFilippo Cavallo, Laura Fiorini, Alessandra Sorrentino, John-John Cabibihan, Hongsheng He, Xiaorui Liu, Yoshio Matsumoto, Shuzhi Sam Ge
Place of PublicationFlorence, Italy
PublisherSpringer Nature
ChapterContents – Part I
Pages228-237
Number of pages10
VolumeLNAI 13817
ISBN (Electronic)978-3-031-24667-8
ISBN (Print) 978-3-031-24666-1
DOIs
Publication statusPublished - 2 Feb 2023
Event14th International Conference on Social Robotics - Florence, Italy
Duration: 13 Dec 202216 Dec 2022
https://www.icsr2022.it/

Publication series

NameLecture Notes in Computer Science

Conference

Conference14th International Conference on Social Robotics
Abbreviated titleICSR
Country/TerritoryItaly
CityFlorence
Period13/12/2216/12/22
Internet address

Keywords

  • Companion robots
  • General data protection regulation
  • Human-robot interaction
  • Personal data security
  • Personalisation

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