Scale Development

Prediction Error Processing in Depression: Scale Development and Validation from a Computational Psychiatry Perspective 

[Leader: 이유정 연구원] 4/2026 ~

This research develops and validates a novel self-report instrument grounded in Karl Friston's Free Energy Principle and predictive processing theory, designed to measure individual differences in prediction error processing among depressed people. The scale aims to enable fine-grained characterization of where and how predictive processing breaks down in individuals experiencing depression. Beyond assessment, findings from this study are intended to inform a targeted intervention program in which computational profiles guide the personalization of therapeutic strategies — moving toward a mechanistically grounded, precision-matched approach to treating depression in adults.

Conceptualization of Social Isolation and Scale Development for Young Adults 

[Leader: 정재희 연구원] 8/2024 ~ 6/2026

This research establishes a multidimensional theoretical framework for social isolation in the young adult population and develops a concise, validated screening instrument. The scale is designed for efficient risk assessment and has undergone rigorous psychometric evaluation.