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Main Authors: Mármol-Romero, Alba María, García-Vega, Manuel, García-Cumbreras, Miguel Ángel, Montejo-Ráez, Arturo
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2505.05828
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author Mármol-Romero, Alba María
García-Vega, Manuel
García-Cumbreras, Miguel Ángel
Montejo-Ráez, Arturo
author_facet Mármol-Romero, Alba María
García-Vega, Manuel
García-Cumbreras, Miguel Ángel
Montejo-Ráez, Arturo
contents This paper presents a chatbot-based system to engage young Spanish people in the awareness of certain mental disorders through a self-disclosure technique. The study was carried out in a population of teenagers aged between 12 and 18 years. The dialogue engine mixes closed and open conversations, so certain controlled messages are sent to focus the chat on a specific disorder, which will change over time. Once a set of trial questions is answered, the system can initiate the conversation on the disorder under the focus according to the user's sensibility to that disorder, in an attempt to establish a more empathetic communication. Then, an open conversation based on the GPT-3 language model is initiated, allowing the user to express themselves with more freedom. The results show that these systems are of interest to young people and could help them become aware of certain mental disorders.
format Preprint
id arxiv_https___arxiv_org_abs_2505_05828
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle An empathic GPT-based chatbot to talk about mental disorders with Spanish teenagers
Mármol-Romero, Alba María
García-Vega, Manuel
García-Cumbreras, Miguel Ángel
Montejo-Ráez, Arturo
Human-Computer Interaction
Computation and Language
This paper presents a chatbot-based system to engage young Spanish people in the awareness of certain mental disorders through a self-disclosure technique. The study was carried out in a population of teenagers aged between 12 and 18 years. The dialogue engine mixes closed and open conversations, so certain controlled messages are sent to focus the chat on a specific disorder, which will change over time. Once a set of trial questions is answered, the system can initiate the conversation on the disorder under the focus according to the user's sensibility to that disorder, in an attempt to establish a more empathetic communication. Then, an open conversation based on the GPT-3 language model is initiated, allowing the user to express themselves with more freedom. The results show that these systems are of interest to young people and could help them become aware of certain mental disorders.
title An empathic GPT-based chatbot to talk about mental disorders with Spanish teenagers
topic Human-Computer Interaction
Computation and Language
url https://arxiv.org/abs/2505.05828