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

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Social Robotics (ICSR 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13817))

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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.

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Authors and Affiliations

  1. Adaptive Systems Research Group, University of Hertfordshire, College Lane, Hatfield, AL10 9AB, UK

    Lewis Riches, Kheng Lee Koay & Patrick Holthaus

Authors
  1. Lewis Riches
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  2. Kheng Lee Koay
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  3. Patrick Holthaus
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Corresponding author

Correspondence to Lewis Riches .

Editor information

Editors and Affiliations

  1. University of Florence, Florence, Italy

    Filippo Cavallo

  2. Qatar University, Doha, Qatar

    John-John Cabibihan

  3. University of Florence, Florence, Italy

    Laura Fiorini

  4. University of Florence, Florence, Italy

    Alessandra Sorrentino

  5. Wichita State University, Wichita, KS, USA

    Hongsheng He

  6. Qingdao University, Qingdao, China

    Xiaorui Liu

  7. National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan

    Yoshio Matsumoto

  8. National University of Singapore, Singapore, Singapore

    Shuzhi Sam Ge

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Riches, L., Koay, K.L., Holthaus, P. (2022). Classification of Personal Data Used by Personalised Robot Companions Based on Concern of Exposure. In: Cavallo, F., et al. Social Robotics. ICSR 2022. Lecture Notes in Computer Science(), vol 13817. Springer, Cham. https://doi.org/10.1007/978-3-031-24667-8_21

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  • DOI: https://doi.org/10.1007/978-3-031-24667-8_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-24666-1

  • Online ISBN: 978-3-031-24667-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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