A chatbot application for stress management with Dua recommendation based on emotions / Ruzana Mohamed Aris

Stress is a hindrance to the students’ daily production and performance. Students who are facing a lot of stress and sometimes do not know how to manage their stress. Students are also reluctant to visit counselors when they are facing stress. Insight of this chatbot system has been developed to sim...

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Main Author:	Mohamed Aris, Ruzana
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Electronic Computers Computer Science Programming languages (Electronic computers)
Online Access:	https://ir.uitm.edu.my/id/eprint/35666/1/35666.pdf
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id	my-uitm-ir.35666
record_format	uketd_dc
spelling	my-uitm-ir.356662020-11-27T08:25:46Z A chatbot application for stress management with Dua recommendation based on emotions / Ruzana Mohamed Aris 2020 Mohamed Aris, Ruzana Electronic Computers. Computer Science Programming languages (Electronic computers) Stress is a hindrance to the students’ daily production and performance. Students who are facing a lot of stress and sometimes do not know how to manage their stress. Students are also reluctant to visit counselors when they are facing stress. Insight of this chatbot system has been developed to simulate a conversation with human users through text messages integrated into a Telegram platform for stress management by recommending dua based on emotions. In this project, the Dialogflow platform is used to develop the chatbot implementing rule-based technique to catch the matching intents and in recommending dua. Two psychology techniques are implemented in the system which are emotion identification technique and motivational interviewing technique. Both techniques are positive coping techniques that may help in managing stress when the users can identify their feelings and what they can do to solve their problems independently. The system’s usability has been tested by tens of university students. Based on the usability testing analysis, majority of the respondents claimed that they are satisfied with the chatbot’s features and want to repeat the session next time. On top of that, most of them feel that the chatbot helps manage their stress and wanted to recommend the dua to others. In conclusion, this project has successfully achieved all three objectives that have been identified at the beginning of the process. However, there are further future works that can be done to make the chatbot more user-friendly in the context of training the user’s expressions in another form such as voice or image including animated images to fully utilize the Telegram functionality that can also include positive emotions. 2020 Thesis https://ir.uitm.edu.my/id/eprint/35666/ https://ir.uitm.edu.my/id/eprint/35666/1/35666.pdf text en public degree Universiti Teknologi MARA, Cawangan Melaka Faculty of Computer and Mathematical Science Ahmadon, Fadzlin
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Ahmadon, Fadzlin
topic	Electronic Computers Computer Science Programming languages (Electronic computers)
spellingShingle	Electronic Computers Computer Science Programming languages (Electronic computers) Mohamed Aris, Ruzana A chatbot application for stress management with Dua recommendation based on emotions / Ruzana Mohamed Aris
description	Stress is a hindrance to the students’ daily production and performance. Students who are facing a lot of stress and sometimes do not know how to manage their stress. Students are also reluctant to visit counselors when they are facing stress. Insight of this chatbot system has been developed to simulate a conversation with human users through text messages integrated into a Telegram platform for stress management by recommending dua based on emotions. In this project, the Dialogflow platform is used to develop the chatbot implementing rule-based technique to catch the matching intents and in recommending dua. Two psychology techniques are implemented in the system which are emotion identification technique and motivational interviewing technique. Both techniques are positive coping techniques that may help in managing stress when the users can identify their feelings and what they can do to solve their problems independently. The system’s usability has been tested by tens of university students. Based on the usability testing analysis, majority of the respondents claimed that they are satisfied with the chatbot’s features and want to repeat the session next time. On top of that, most of them feel that the chatbot helps manage their stress and wanted to recommend the dua to others. In conclusion, this project has successfully achieved all three objectives that have been identified at the beginning of the process. However, there are further future works that can be done to make the chatbot more user-friendly in the context of training the user’s expressions in another form such as voice or image including animated images to fully utilize the Telegram functionality that can also include positive emotions.
format	Thesis
qualification_level	Bachelor degree
author	Mohamed Aris, Ruzana
author_facet	Mohamed Aris, Ruzana
author_sort	Mohamed Aris, Ruzana
title	A chatbot application for stress management with Dua recommendation based on emotions / Ruzana Mohamed Aris
title_short	A chatbot application for stress management with Dua recommendation based on emotions / Ruzana Mohamed Aris
title_full	A chatbot application for stress management with Dua recommendation based on emotions / Ruzana Mohamed Aris
title_fullStr	A chatbot application for stress management with Dua recommendation based on emotions / Ruzana Mohamed Aris
title_full_unstemmed	A chatbot application for stress management with Dua recommendation based on emotions / Ruzana Mohamed Aris
title_sort	chatbot application for stress management with dua recommendation based on emotions / ruzana mohamed aris
granting_institution	Universiti Teknologi MARA, Cawangan Melaka
granting_department	Faculty of Computer and Mathematical Science
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/35666/1/35666.pdf
_version_	1783734309800116224

A chatbot application for stress management with Dua recommendation based on emotions / Ruzana Mohamed Aris

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