The Science Behind ARISTON
Assessment built on decades of psychological research
Holland RIASEC Theory
Psychologist John Holland proposed in 1959 that vocational interests can be classified into six basic types. Each person is expressed through a combination of these types, called a Holland code.
ARISTON calculates the three-digit Holland code (e.g. ESC) by evaluating 18 questions based on real occupations and activities. Results map directly to thousands of occupations from the O*NET and ESCO databases.
Realistic
Prefers practical, hands-on tasks and technical occupations.
Investigative
Loves analysis, science, and solving complex problems.
Artistic
Expresses through creativity, art, and self-expression.
Social
Thrives in environments of helping, teaching, and collaboration.
Enterprising
Leads, persuades, and motivates others toward shared goals.
Conventional
Prefers structured environments, data, and organisation.
Openness
Imagination, curiosity, and receptivity to new ideas.
Conscientiousness
Organisation, reliability, and self-discipline.
Extraversion
Sociability, energy, and positive emotions.
Agreeableness
Trust, empathy, and cooperativeness.
Neuroticism
Emotional instability, anxiety, and stress sensitivity.
Big Five Personality Model (OCEAN)
The Big Five model, also known as OCEAN, is the most widely accepted framework for describing human personality in modern psychology. Developed by Costa & McCrae (1992) and validated across dozens of cultures.
ARISTON's OCEAN scores derive from 25 carefully selected questions and are used to match occupations that demand specific personal traits — such as leadership, collaboration, or creativity.
IRT 3PL Scoring
IRT (Item Response Theory) is like a smart exam that adapts to you. Instead of simply counting how many answers are correct, it accounts for each question's difficulty and how well it discriminates between different ability levels.
The 3PL (Three-Parameter Logistic) model used by ARISTON estimates three parameters per question: difficulty (b), discrimination (a), and guessing probability (c). This yields a far more precise ability estimate than simple raw scoring.
AI & Career Future
Parents and students face a new reality: artificial intelligence is transforming the labour market faster than any previous technological shift. According to the World Economic Forum's Future of Jobs Report 2025, 22% of current jobs will be disrupted by 2030, with 92 million roles displaced but 170 million new ones created. The question isn't whether AI will change careers — it's which careers will thrive.
YouPath is one of the first career assessment platforms to integrate AI Resilience analysis into its methodology. Every profession in our database is classified with an AI Resilience rating (from Very Low to Very High), based on research from the World Economic Forum, Goldman Sachs, McKinsey Global Institute, and the International Monetary Fund. This rating reflects how resistant each profession is to AI automation based on factors like physical presence requirements, emotional intelligence demands, creative judgment, and human interaction complexity.
Beyond traditional vocational interest and cognitive ability assessments, YouPath measures each student's attitude toward AI and technology. This allows us to provide personalised insights that match not just their skills and interests, but their readiness for the AI era. A student who is enthusiastic about AI might thrive in a profession undergoing AI transformation, while a student who prefers hands-on human interaction might be better suited to high-resilience professions.
In Greece, where career decisions often shape university entrance exam preparation from age 15, understanding AI's impact on professions isn't a luxury — it's essential planning. Our AI Resilience ratings help families make informed decisions about study paths that will remain valuable in the decades ahead.
Psychologist
AI Resilience: Very HighEmpathy & therapeutic relationship
Marketing Executive
AI Resilience: MediumStrategy remains human
Accountant
AI Resilience: LowRoutine fully automated
The Team Behind YouPath
YouPath is the product of close collaboration between three disciplines that rarely sit at the same table: clinical psychology, education, and software engineering. Our shared goal is to offer Greek youth a scientifically grounded, accessible, and genuinely useful career guidance tool — one that treats young people as capable decision-makers rather than passive recipients of advice.
Psychology
Assessment design & interpretation
Our psychology team ensures that every questionnaire draws from validated instruments — Holland's RIASEC model, the Rosenberg Self-Esteem Scale, Rotter's Locus of Control — and that results are interpreted responsibly. They calibrate question wording for developmental stages, build in consistency checks, and safeguard the ethical boundaries of psychometric testing for minors.
Education
Age-appropriate content & career mapping
Educators shape how the assessment speaks to young people aged 10–17, adjusting vocabulary, examples, and cognitive complexity across three distinct age bands. They also maintain the mapping between assessment outcomes and real academic pathways — connecting scores to university faculties, vocational programs, and the evolving landscape of Greek and international education.
Engineering
Platform, data, and scoring infrastructure
The engineering team builds the expert system that turns thousands of individual responses into a coherent, statistically sound report. They handle the scoring algorithms, clustering techniques, error-probability corrections, and the infrastructure that delivers multilingual reports quickly and reliably — while keeping user data private and secure.
Built on the ARISTON Psychometrics framework, adapted for the digital-native generation.
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