Development of a chatbot for mental health support using ai-intelligent

People have been impacted by COVID-19 not just physically but also psychologically, and the epidemic has had a significant societal impact, particularly in underdeveloped nations. During such perplexing circumstances, there is undoubtedly a significant increase in psychosocial discomfort. On the other hand, more people are now seeking mental health assistance. The researcher identified a tool to help promote mental wellness and bring about a behavioural change in people's minds using the broaden and build theory of psychological wellness (Fredrickson 1998), with the goal of promoting positivity and mental well-being. This was done by utilising design research methodology and human centred design principles. Through the use of human-centered design, the study illustrated how issues can be found, verified, and their impact mitigated through the use of an intervention. In order to delve deeply into the problems that emerged during the COVID19 pandemic and ultimately lessen the psychological effects of a pandemic, the research will help the public in times of hardship and policy makers. By offering suitable, sympathetic insights and solutions in relation to human-centered design, and particularly in terms of design for the healthcare and wellness space, the study results also demonstrate further steps towards developing advanced design research during a psychosocial distress situation on people's mental wellness.

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Publication Details

Journal
Health Leadership and Quality of Life
Published
2024-12-30
DOI
https://doi.org/10.56294/hl2024.178
Primary Topic
Innovation in Digital Healthcare Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Development of a chatbot for mental health support using ai-intelligent

Iroda Sa’ Dulloyeva, Farkhod Raufov, Munisa Bakhadirova, Nargiza Nasirova et al.
Health Leadership and Quality of Life
Innovation in Digital Healthcare Systems
article

Development of a chatbot for mental health support using ai-intelligent

Iroda Sa’ Dulloyeva, Farkhod Raufov, Munisa Bakhadirova, Nargiza Nasirova, Ykhval Pekhanova, Iroda Mamarasulova, Barno Pulatova, Makhruya Khakimova
article en

Abstract

People have been impacted by COVID-19 not just physically but also psychologically, and the epidemic has had a significant societal impact, particularly in underdeveloped nations. During such perplexing circumstances, there is undoubtedly a significant increase in psychosocial discomfort. On the other hand, more people are now seeking mental health assistance. The researcher identified a tool to help promote mental wellness and bring about a behavioural change in people's minds using the broaden and build theory of psychological wellness (Fredrickson 1998), with the goal of promoting positivity and mental well-being. This was done by utilising design research methodology and human centred design principles. Through the use of human-centered design, the study illustrated how issues can be found, verified, and their impact mitigated through the use of an intervention. In order to delve deeply into the problems that emerged during the COVID19 pandemic and ultimately lessen the psychological effects of a pandemic, the research will help the public in times of hardship and policy makers. By offering suitable, sympathetic insights and solutions in relation to human-centered design, and particularly in terms of design for the healthcare and wellness space, the study results also demonstrate further steps towards developing advanced design research during a psychosocial distress situation on people's mental wellness.

Health Leadership and Quality of LifeVol. 3
Osh State University (KG), Tashkent University of Information Technology (UZ), Bukhara State Medical Institute named after Abu Ali ibn Sino (UZ), Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (UZ), Samarkand State Medical Institute (UZ), Jizzakh State Pedagogical University (UZ), Tashkent Pediatric Medical Institute (UZ)
Openalex Percentile: Top 62%
Innovation in Digital Healthcare Systems
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