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Haptic Alternatives for Mobile Device Authentication by Older Technology Users

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Recent Advances in Information and Communication Technology 2018 (IC2IT 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 769))

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Abstract

Turing tests are used to secure the human interaction on the Internet. Tests such as CAPTCHA are based on visual or auditory recognition of symbols and are difficult to distinguish by elderly people. A study examining the consistency of a tactile feedback-based Turing test identified an alternative to mainstream tests. This approach examines the vibration-based sensitivity which is detectable through skin surfaces when used to touch the screen of a mobile device. The study concentrated on a range of rough, smooth, sticky and coarse textures as possible differentiators for swipe-based tactile authentication using mobile devices. This study examined the vibration-based touch screen capabilities of 30 elderly people over the age of 65. The results of this study showed that tactile differentiation can be a viable alternative for device and security authentication for Turing tests such as those used for CAPTCHA and reCAPTCHA verification.

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Author information

Authors and Affiliations

  1. Edith Cowan University, Joondalup, Australia

    Kulwinder Kaur & David M. Cook

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  1. Kulwinder Kaur
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  2. David M. Cook
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Correspondence to David M. Cook .

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Editors and Affiliations

  1. LG Kommunikationsnetze, Fern Universität in Hagen, Hagen, Germany

    Herwig Unger

  2. Faculty of Information Technology, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand

    Sunantha Sodsee

  3. Faculty of Information Technology, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand

    Phayung Meesad

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Kaur, K., Cook, D.M. (2019). Haptic Alternatives for Mobile Device Authentication by Older Technology Users. In: Unger, H., Sodsee, S., Meesad, P. (eds) Recent Advances in Information and Communication Technology 2018. IC2IT 2018. Advances in Intelligent Systems and Computing, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-319-93692-5_24

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