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Influences of Mixed Reality and Human Cognition on Picture Passwords: An Eye Tracking Study

  • Christos Fidas
  • Marios BelkEmail author
  • George Hadjidemetriou
  • Andreas Pitsillides
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11747)

Abstract

Recent research revealed that individual cognitive differences affect visual behavior and task performance of picture passwords within conventional interaction realms such as desktops and tablets. Bearing in mind that mixed reality environments necessitate from end-users to perceive, process and comprehend visually-enriched content, this paper further investigates whether this new interaction realm amplifies existing observed effects of individual cognitive differences towards user interactions in picture passwords. For this purpose, we conducted a comparative eye tracking study (N = 50) in which users performed a picture password composition task within a conventional interaction context vs. a mixed reality context. For interpreting the derived results, we adopted an accredited human cognition theory that highlights cognitive differences in visual perception and search. Analysis of results revealed that new technology realms like mixed reality extend and, in some cases, amplify the effect of human cognitive differences towards users’ visual and interaction behavior in picture passwords. Findings can be of value for improving future implementations of picture passwords by considering human cognitive differences as a personalization factor for the design of user-adaptive graphical passwords in mixed reality.

Keywords

Picture passwords Human cognition Mixed reality Eye tracking Visual behavior Usability Security 

Notes

Acknowledgements

This research has been partially supported by EU Horizon 2020 Grant 826278 “Securing Medical Data in Smart Patient-Centric Healthcare Systems” (Serums). We thank all participants for their time and valuable comments provided during the studies.

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Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  • Christos Fidas
    • 1
  • Marios Belk
    • 2
    • 3
    Email author
  • George Hadjidemetriou
    • 3
  • Andreas Pitsillides
    • 3
  1. 1.Department of Cultural Heritage Management and New TechnologiesUniversity of PatrasPatrasGreece
  2. 2.School of SciencesUniversity of Central LancashireLarnacaCyprus
  3. 3.Department of Computer ScienceUniversity of CyprusNicosiaCyprus

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