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Ergonomics in Mobile Fingerprint Recognition Systems: A User Interaction Evaluation

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1207))

Abstract

Fingerprint recognition represents the most installed recognition modality in modern mobile devices. Currently, there are thousands and thousands of smartphones equipped with fingerprint sensors; the type of sensor and its position on the device changes depending on the model. The fingerprints sensors are typically positioned in the home button (front side), even if sensors embedded on the backside or on the lateral side are equally common. In this paper, we research how the ergonomics of the mobile fingerprint systems influences the user experience and consequently the outcome of the identification. For this reason, we assessed the user interaction with a fingerprint recognition system installed in 3 smartphones (differentiated by the position of their fingerprint sensors). Data collected during the experiment let us analyse how the position of the sensors changes the recognition system’s performance and the user feelings while completing a biometric authentication.

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References

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Acknowledgments

This work has been supported by Marie Skłodowska-Curie EU Framework for Research and Innovation Horizon 2020, under the Grant Agreement No. 675087 within AMBER (enhanced Mobile BiomEtRics) project.

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Correspondence to Barbara Corsetti .

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Corsetti, B., Sanchez-Reillo, R., Guest, R.M. (2020). Ergonomics in Mobile Fingerprint Recognition Systems: A User Interaction Evaluation. In: Nunes, I. (eds) Advances in Human Factors and Systems Interaction. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1207. Springer, Cham. https://doi.org/10.1007/978-3-030-51369-6_51

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  • DOI: https://doi.org/10.1007/978-3-030-51369-6_51

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-51368-9

  • Online ISBN: 978-3-030-51369-6

  • eBook Packages: EngineeringEngineering (R0)

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