June De La Cruz (INSPIRIT Lab, University of Denver), Sanchari Das (INSPIRIT Lab, University of Denver)

Gamification is an interactive technology that enhances the user experience by designing modular objectives into game-design elements. In the same manner, gamification has the potential to enhance cybersecurity Awareness for neurodiverse individuals and people with disabilities by using Assistive Technology (AT) to achieve reward-system objectives. To understand further, we conducted a detailed systematization of knowledge (SoK) on 71 peer-reviewed publications concentrating research efforts to increase cybersecurity awareness through accessible gamification. The findings of this SoK establish fundamental components required to address the inclusive nature of gamification in cybersecurity and thereby identify requirements gathering objectives for impacting increased results in raising cybersecurity awareness. After a methodical process of iterative screening and manual analysis in this targeted subject matter, we found that only 9 out of the 71 gamified cybersecurity research initiatives directly address “accessibility” and the implementation methods for game-design elements that would facilitate accessible user-experience. Moreover, a cross-functional Learning Management System (LMS) and Modular Reward System can be optimized by data formulated through a Technology Acceptance Model (TAM) for people with disabilities using AT. Lastly, we propose that a modular training format should effectively engage and facilitate user interface and user experience despite context-oriented limitations on physical.

View More Papers

Demo #5: Disclosing the Pringles Syndrome in Tesla FSD...

Zhisheng Hu (Baidu), Shengjian Guo (Baidu) and Kang Li (Baidu)

Read More

Uncovering Cross-Context Inconsistent Access Control Enforcement in Android

Hao Zhou (The Hong Kong Polytechnic University), Haoyu Wang (Beijing University of Posts and Telecommunications), Xiapu Luo (The Hong Kong...

Read More

RamBoAttack: A Robust and Query Efficient Deep Neural Network...

Viet Quoc Vo (The University of Adelaide), Ehsan Abbasnejad (The University of Adelaide), Damith C. Ranasinghe (University of Adelaide)

Read More