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Design och samskapande av en AI-baserad chatbot för unga vuxnas psykiska välmående

Gustafsson, Ellen LU and Rydberg, Lisa LU (2026) EEML05 20261
Division for Biomedical Engineering
Abstract
One of the greatest public health challenges of our time is mental health issues, particularly the increasing prevalence among young adults in Sweden. Meanwhile, artificial intelligence (AI), which is more accessible and widely used than ever before, is being discussed as a promising tool in mental health care. This report investigates the potential of a generative AI-based chatbot to promote mental well-being among individuals aged 18-29. The study was conducted as a clinical innovation project in collaboration with “Främjande av psykisk hälsa i Generation Z” which works together with young adults. Both qualitative and quantitative methods were employed, including an interview, a survey and a literature review. The findings contributed to... (More)
One of the greatest public health challenges of our time is mental health issues, particularly the increasing prevalence among young adults in Sweden. Meanwhile, artificial intelligence (AI), which is more accessible and widely used than ever before, is being discussed as a promising tool in mental health care. This report investigates the potential of a generative AI-based chatbot to promote mental well-being among individuals aged 18-29. The study was conducted as a clinical innovation project in collaboration with “Främjande av psykisk hälsa i Generation Z” which works together with young adults. Both qualitative and quantitative methods were employed, including an interview, a survey and a literature review. The findings contributed to a rule-based prototype illustrating a simplified version of a potential future chatbot. One of the prototype’s most significant functions is continuous detection of high-risk words in user input.

The findings also identified essential requirements, including that AI should not replace human contact and that all provided information must be evidence-based. In addition, the chatbot should avoid “love-bombing” behaviours and minimize the risk of addictive use. In contrast to many existing AI services, the study suggests that co-design with young adults is necessary to increase engagement and willingness to use AI-based mental health support. Furthermore the results highlight the importance of security and transparency, as scepticism toward current services is common. Overall, the findings indicate that the identified aspects are essential for a future chatbot to be accepted and to fulfill it's intended purpose. (Less)
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author
Gustafsson, Ellen LU and Rydberg, Lisa LU
supervisor
organization
alternative title
Co-design of an AI-based chatbot for young adults’ mental health
course
EEML05 20261
year
type
M2 - Bachelor Degree
subject
language
Swedish
id
9240926
date added to LUP
2026-06-23 12:43:29
date last changed
2026-06-23 12:43:29
@misc{9240926,
  abstract     = {{One of the greatest public health challenges of our time is mental health issues, particularly the increasing prevalence among young adults in Sweden. Meanwhile, artificial intelligence (AI), which is more accessible and widely used than ever before, is being discussed as a promising tool in mental health care. This report investigates the potential of a generative AI-based chatbot to promote mental well-being among individuals aged 18-29. The study was conducted as a clinical innovation project in collaboration with “Främjande av psykisk hälsa i Generation Z” which works together with young adults. Both qualitative and quantitative methods were employed, including an interview, a survey and a literature review. The findings contributed to a rule-based prototype illustrating a simplified version of a potential future chatbot. One of the prototype’s most significant functions is continuous detection of high-risk words in user input. 

The findings also identified essential requirements, including that AI should not replace human contact and that all provided information must be evidence-based. In addition, the chatbot should avoid “love-bombing” behaviours and minimize the risk of addictive use. In contrast to many existing AI services, the study suggests that co-design with young adults is necessary to increase engagement and willingness to use AI-based mental health support. Furthermore the results highlight the importance of security and transparency, as scepticism toward current services is common. Overall, the findings indicate that the identified aspects are essential for a future chatbot to be accepted and to fulfill it's intended purpose.}},
  author       = {{Gustafsson, Ellen and Rydberg, Lisa}},
  language     = {{swe}},
  note         = {{Student Paper}},
  title        = {{Design och samskapande av en AI-baserad chatbot för unga vuxnas psykiska välmående}},
  year         = {{2026}},
}