An Empirical Study of Picture Password Composition on Smartwatches - IFIP - Lecture Notes in Computer Science Access content directly
Conference Papers Year : 2021

An Empirical Study of Picture Password Composition on Smartwatches

Marios Belk
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Christos Fidas
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Eleni Katsi
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Andreas Pitsillides
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Abstract

Recent research works suggest that human cognitive differences affect security and usability of picture passwords within a variety of interaction contexts, such as conventional desktops, smartphones, and extended reality. However, the interplay of human cognition towards users’ interaction behavior and security of picture passwords on smartwatch devices has not been investigated so far. In this paper, we report on such a research attempt that embraced a between-subjects in-lab user study (n = 50) in which users were classified according to their cognitive processing characteristics (i.e., Field Dependence-Independence cognitive differences), and further composed a picture password on a smartwatch device. Analysis of results reveal that already known effects of human cognition towards interaction behavior and security of picture passwords within conventional interaction contexts, do not necessarily replicate when these are deployed on smartwatch devices. Findings point towards the need to design for diversity and device-aware picture password schemes.
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hal-04215508 , version 1 (22-09-2023)

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Marios Belk, Christos Fidas, Eleni Katsi, Argyris Constantinides, Andreas Pitsillides. An Empirical Study of Picture Password Composition on Smartwatches. 18th IFIP Conference on Human-Computer Interaction (INTERACT), Aug 2021, Bari, Italy. pp.655-664, ⟨10.1007/978-3-030-85610-6_37⟩. ⟨hal-04215508⟩
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