Computational Psychotherapy System for Mental Health Prediction and Behavior Change with a Conversational Agent
Tine Kolenik, Günter Schiepek, Matjaž Gams · 2024
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Description
Tine Kolenik and co-authors built a therapy chatbot that tries to read minds, in a careful sense, in this 2024 paper. Their system predicts stress, anxiety, and depression from what users write, then works to shift behavior. It leans on a new data set of 1,495 scored entries with diary texts.
The chatbot models what the user may be thinking and feeling, using a bundle of learning models. In tests it spotted mental states with about ninety-one percent accuracy, beating known systems. It could also forecast symptoms a week ahead. In a trial with 42 people, it cut stress and anxiety more than a leading rival app. The authors back mind-simulation as a design goal.
Catalog record
| CREATOR | Tine Kolenik, Günter Schiepek, Matjaž Gams |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 124 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |