Cyber Security Cognitive Assessment Tool
Cyber Security Cognitive Assessment Tool
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Overview
Overview
Amplio AI partnered with the Cyber-Security Boot Camp to address the high failure rate of candidates during the recruitment process. The goal was to develop an assessment tool that could effectively identify the most qualified candidates for cyber-security training. This case study focuses on the UX design process and its contribution to revolutionizing the recruitment process.
Company: Amplio AI
Platform: Website
Industry: Department of Defense and Cyber Security
Timeline: January 2021 -June 2021
My Contribution: User research, user experience, user interface, Visual and audio manager.
Other Contributors: Project Manager, UX Researcher, Team of Neuroscientist and Psychologist from UPenn, Game Design Advisor, Data Scientist, Development Team
I created UI designs for each assessment. I worked with a game designer to create a cyber-security themed Design System.
Problem Statement
Problem Statement
The Cyber-Security Boot Camp faced challenges in identifying qualified candidates due to the absence of existing data and an established evaluation framework. Prior experience in cyber-security was not a requirement, leading to a high failure rate of initially selected candidates.
Research and insight
Research and insight
To gain a comprehensive understanding of the problem, we conducted interviews and surveys with unsuccessful candidates and successful graduates. Valuable insights were gathered, highlighting the importance of maintaining focus and performing under high-pressure situations as key traits of successful candidates.
UX Strategy
UX Strategy
Deviation from typical UX practices was intentional to create a unique and immersive experience for users. The design aimed to frustrate users by implementing disorderly user flows, overwhelming information, social stressors, false rankings/scores, and unrealistic time constraints. These elements were strategically incorporated to simulate the demanding nature of the cyber-security field.
Validation
Validation
Candidates from various stages of the boot camp participated in the validation process. Their skill levels were categorized from low to high, and physiological data was collected using EEG caps and wearable devices. This data, along with assessment results, provided insights into candidates' cognitive and emotional states during the recruitment process.
Physiological data collected during usability testing was analyzed in collaboration with data scientists. Correlations between candidates' assessment results and physiological responses were identified. This data played a crucial role in shaping the design of the website and understanding candidates' cognitive and emotional states.
Conclusion
Conclusion
The enhanced recruitment process revolutionized the selection of candidates for the Cyber-Security Boot Camp. The new assessment tool, based on behavioral traits and physiological data, ensured that candidates possessed the necessary qualities to succeed in the demanding field of cyber-security. The UX design approach, although unconventional, contributed to the overall success of the project by accurately simulating the challenging environment candidates would face.
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