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Trust in Facial Recognition Systems: A Perspective from the Users

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Human-Computer Interaction – INTERACT 2023 (INTERACT 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14142))

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Abstract

High-risk artificial intelligence (AI) are systems that can endanger the fundamental rights of individuals. Due to their complex characteristics, users often wrongly perceive their risks, trusting too little or too much. To further understand trust from the users’ perspective, we investigate what factors affect their propensity to trust Facial Recognition Systems (FRS), a high-risk AI, in Mozambique. The study uses mixed methods, with a survey (N = 120) and semi-structured interviews (N = 13). The results indicate that users’ perceptions of the FRS’ robustness and principles of use affect their propensity to trust it. This relationship is moderated by external issues and how the system attributes are communicated. The findings from this study shed light on aspects that should be addressed when developing AI systems to ensure adequate levels of trust.

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Acknowledgements

This study was partly funded by the Trust and Influence Programme (FA8655-22-1-7051), European Office of Aerospace Research and Development, and US Air Force Office of Scientific Research.

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Authors and Affiliations

  1. Tallinn University, Tallinn, Estonia

    Gabriela Beltrão, Sonia Sousa & David Lamas

Authors
  1. Gabriela Beltrão
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  2. Sonia Sousa
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  3. David Lamas
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Corresponding author

Correspondence to Gabriela Beltrão .

Editor information

Editors and Affiliations

  1. University of West London, London, UK

    José Abdelnour Nocera

  2. Reykjavik University, Reykjavik, Iceland

    Marta Kristín Lárusdóttir

  3. University of York, York, UK

    Helen Petrie

  4. University of Bari Aldo Moro, Bari, Italy

    Antonio Piccinno

  5. Université Côte d’Azur, Sophia Antipolis Cedex, France

    Marco Winckler

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Beltrão, G., Sousa, S., Lamas, D. (2023). Trust in Facial Recognition Systems: A Perspective from the Users. In: Abdelnour Nocera, J., Kristín Lárusdóttir, M., Petrie, H., Piccinno, A., Winckler, M. (eds) Human-Computer Interaction – INTERACT 2023. INTERACT 2023. Lecture Notes in Computer Science, vol 14142. Springer, Cham. https://doi.org/10.1007/978-3-031-42280-5_24

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  • DOI: https://doi.org/10.1007/978-3-031-42280-5_24

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  • Print ISBN: 978-3-031-42279-9

  • Online ISBN: 978-3-031-42280-5

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