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When AI Feels Sad: Researchers Simulate Emotions

Sadness, anxiety, stress: emotions that everyone is familiar with—and that researchers in Dresden are now simulating and studying in AI models.
Millions of people worldwide suffer from depression. AI could help us better understand this illness. © pixabay/Daniel Reche
From: Wissensland
AI programs like ChatGPT can simulate anxiety, sadness, and stress and respond to breathing exercises. Researchers at TU Dresden are demonstrating how large language models could serve as a new tool in psychology.

Millions of people worldwide suffer from depression or anxiety disorders. But exactly how these conditions develop in the mind remains elusive to researchers. A team of medical professionals, psychologists, and computer scientists at the Technical University of Dresden has now investigated whether AI language models can replicate typical patterns of human emotions and thought processes.

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At the Else Kröner Fresenius Center for Digital Health at TU Dresden, researchers are working with so-called large language models. These are AI programs like ChatGPT that understand and generate human language. The team examined six such models and specifically triggered seven emotional states: anxiety, fear, anger, disgust, sadness, worry, and stress.

To do this, they used standardized text inputs and measured the reactions using the same evaluation scales that are also used in psychological research. The models subsequently exhibited patterns resembling human emotional reactions.

Another finding was even more surprising. When the researchers previously triggered sadness, the programs tended to complete sentences in a negative way. This pattern, known from depression research, is called cognitive bias. It is familiar from human behavior. The language models showed similar patterns.

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From breathing exercises to therapy research

The researchers made yet another observation. When they subsequently provided the language models with texts containing calming breathing and relaxation exercises, the previously triggered reactions were weaker. The models then behaved in a less anxious, stressed, or sad manner again.

For the researchers, this is an indication that the programs can exhibit patterns similar to those of humans when processing emotions. This opens up new possibilities for psychological research.

"Our results show that large language models can reproduce patterns of human emotional and cognitive processes under controlled conditions," says Dr. Magdalena Wekenborg, head of the PsychoDigital Research group at the EKFZ for Digital Health. She sees this as an opportunity to investigate psychological questions in a more targeted manner and under controlled conditions in the future, before testing them in complex studies with humans.

However, the researchers also emphasize the limitations of their approach. Large language models do not possess their own emotions. Their reactions are based on patterns they have learned during training. The AI models are therefore not intended to replace human behavior or studies with humans, but rather to serve as a complementary tool. This could help test hypotheses and evaluate new therapeutic approaches as early as the initial phases of research.


Original publication:
Magdalena K. Wekenborg, Elizabeth A.M. Michels, Georg Kurze, Matti L. Kropp, Fabian Wolf, Josi Harzbecker, Isabella C. Wiest, Jakob N. Kather: Large language models as models of human psychopathology: a modeling study. The Lancet Digital Health, 2026. 

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