Hotline Bling: Chatbot M.A.X. that provides hotlines based on the user's mental health
dc.contributor.advisor | Meccaci, Giulio | |
dc.contributor.advisor | de sa Siqueira, Marianna | |
dc.contributor.author | Peters Rit, Geertje | |
dc.date.issued | 2021-02-12 | |
dc.description.abstract | Anybody can go through a hard time. It has been estimated that 29% of the people worldwide su er from mental health disorders at least once in their lifetime (Abd-Alrazaq et al., 2019). By sharing your feelings, it could lighten the negative state of mind a bit. Nevertheless, not everyone is able to talk to a therapist. This includes several reasons, such as shame or lack of money and/or time. Although mental health chatbots cannot function as a replacement (yet), they can be useful as an additional tool. Because con- versations about mental health can often be quite heavy, it is important a chatbot is able to recognize the user's mental states (detect) and provide the appropriate hotlines1 if needed (react). This thesis forms a pipeline2 with the thesis of M. Reksoprodjo. Her thesis focused on the detection part, while mine focused on the reaction. However, note that the actual implementa- tion of the pipeline could be done in further research. The research question concerned whether it was possible to build a working non-embodied chatbot that detects SOS signals of poor mental health and is able to refer the user to hotlines. Literature research was done and a proof-of-concept chatbot, called M.A.X. (Mental AI Access), was created to answer the research ques- tion. In addition, a web-application was made to deploy the chatbot on. M.A.X. was reviewed along the following scienti c measures: e ciency, ef- fectiveness, dialogue handling, anthropomorphism and esthetics. While the chatbot gives hotlines when triggered to do so, further research is needed to draw strong conclusions and answer the research question properly. | |
dc.identifier.uri | https://theses.ubn.ru.nl/handle/123456789/15753 | |
dc.language.iso | en | |
dc.thesis.faculty | Faculteit der Sociale Wetenschappen | |
dc.thesis.specialisation | specialisations::Faculteit der Sociale Wetenschappen::Artificial Intelligence::Bachelor Artificial Intelligence | |
dc.thesis.studyprogramme | studyprogrammes::Faculteit der Sociale Wetenschappen::Artificial Intelligence | |
dc.thesis.type | Bachelor | |
dc.title | Hotline Bling: Chatbot M.A.X. that provides hotlines based on the user's mental health |
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