Cited by 82Information and Cyber SecurityEducational Games and GamificationAugmented Reality Applications

Design and Evaluation of an Augmented Reality Game for Cybersecurity Awareness (CybAR)

Open access
Alqahtani, Hamed, Kavakli-Thorne, Manolya·2020·Information

Abstract

The number of damaging cyberattacks is increasing exponentially due in part to lack of user awareness of risky online practices, such as visiting unsafe websites, ignoring warning messages, and communicating with unauthenticated entities. Although research has established the role that game-based learning can play in cognitive development and conceptual learning, relatively few serious mobile games have been developed to educate users about different forms of cyberattack and ways of avoiding them. This paper reports the development of an effective augmented reality (AR) game designed to increase cybersecurity awareness and knowledge in an active and entertaining way. The Cybersecurity Awareness using Augmented Reality (CybAR) game is an AR mobile application that teaches not only cybersecurity concepts, but also demonstrates the consequences of actual cybersecurity attacks through feedback. The design and evaluation of the application are described in detail. A survey was conducted to verify the effectiveness of the game received positive responses from 91 participants. The results indicate that CybAR is useful for players to develop an understanding of cybersecurity attacks and vulnerabilities.

Integrity signals

Registry

Crossref · 10.3390/info11020121

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Students assessed Alqahtani and Kavakli-Thorne's gamified augmented reality application as a useful educational tool that enabled them to learn about cybersecurity threats.

    “Students assessed the application as a useful educational tool that enabled them to learn about cybersecurity threats and how to stay secure and safe in online environments.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Alqahtani, H., & Kavakli-Thorne, M.
Affiliations
  • Macquarie University (AU)
  • Department of Computing, Macquarie University, Sydney 2113, Australia
Corresponding author
Alqahtani, Hamed
Venue
Information
Publisher
MDPI AG
Published
2020-02-21
Volume
11
Issue
2
Pages
121
ISSN
2078-2489 (ISSN-L)
OpenAlex
W3007657319
Cited by
82
References
3
Citations by year
2026: 10 · 2025: 22 · 2024: 17 · 2023: 16 · 2022: 12 · 2021: 2 · 2020: 3
FWCI
7.35
Type
journal article
Language
en
Open access
Locations
  • Information (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
  • Social Sciences › Psychology › Developmental and Educational Psychology › Educational Games and Gamification
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
Keywords
augmented reality games, cybersecurity awareness, serious games, mobile application, game-based learning, cybersecurity education, cyberattacks, vulnerability (computer security), game design

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review