معرفی
Andrea Spoto is a Full Professor at the University of Padua, Italy. His research focuses on psychological assessment methodologies, cognitive diagnostic models, moral judgment dynamics, and the application of Bayesian methods in healthcare and education. He has pioneered work on technology acceptance models (e.g., AV-TAM for automated vehicles) and developed innovative tools like the PENguIN mental health application. His interdisciplinary approach bridges psychology, statistics, and technology, addressing topics such as automated vehicles’ ethical dilemmas, clinical decision-making frameworks, and the psychometric validation of scales for anxiety, worry, and countertransference.
Research interests span moral reasoning in self-sacrificial dilemmas, the role of decision thresholds in professional judgments (e.g., nursing triage, sports refereeing), and the network structure of psychopathological responses to crises. He has contributed to understanding nonverbal behavior in schizophrenia, coping mechanisms in neurofibromatosis patients, and the psychological impact of the COVID-19 pandemic across multiple countries.
His work integrates formal concept analysis and knowledge space theory to enhance adaptive assessment systems, particularly in educational and clinical contexts. Notable contributions include refining item response theory models and advancing methodologies for measuring emotional intelligence, scientifical-medical satisfaction, and social odor awareness.
