Eminder: Mental health companion bot for daily monitoring and notification

By: Escoto, Louis Mariae C.; Maranan, Gerwin Marie V.; Panajon, Karyll Kaye B
Language: English Publisher: . . c2025Description: Capstone Project: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2025Content type: text Media type: unmediated Carrier type: volumeGenre/Form: academic writingDDC classification: . LOC classification: T58.64 E83 2025
Contents:
ABSTRACT: Anxiety and depression have become increasingly prevalent in the Philippines, especially after the COVID-19 pandemic, with the Department of Health estimating that 3.6 million Filipino suffer from these issues. Individuals often find it challenging to express their emotions or seek help, leading to challenges in emotional regulation and communication. In response, researchers from Pamantasan ng Lungsod ng Maynila (PLM) developed Eminder: Mental Health Companion Bot for Daily Monitoring and Notification, a mobile application aimed at assessing emotional states and offering support. The study involved 150 respondents who experienced anxiety, stress, and depression and applied the ISO/IEC 25010 standard to evaluate functional suitability, performance efficiency, reliability, and security. Results indicate high ratings across all categories. The mean per category is as follows: 3.99 for functional suitability, 4.02 performance efficiency, 4.11 for reliability, and 4.04 for security, all rated as “Very Good.” These findings suggest Eminder’s potential to enhance emotional well-being. However, the Support Vector Machine (SVM) model used for emotion detection achieved only 48% accuracy, and the decision tree had an accuracy of 50%. Both models misclassify “fear” and “surprise” as other emotion, indicating the need for further improvements.
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Item type Current location Home library Collection Call number Status Date due Barcode Item holds
Thesis/Dissertation PLM
PLM
Filipiniana Section 		Filipiniana-Thesis T58.64 E83 2025 (Browse shelf) Available FT8773
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ABSTRACT: Anxiety and depression have become increasingly prevalent in the Philippines, especially after the COVID-19 pandemic, with the Department of Health estimating that 3.6 million Filipino suffer from these issues. Individuals often find it challenging to express their emotions or seek help, leading to challenges in emotional regulation and communication. In response, researchers from Pamantasan ng Lungsod ng Maynila (PLM) developed Eminder: Mental Health Companion Bot for Daily Monitoring and Notification, a mobile application aimed at assessing emotional states and offering support. The study involved 150 respondents who experienced anxiety, stress, and depression and applied the ISO/IEC 25010 standard to evaluate functional suitability, performance efficiency, reliability, and security. Results indicate high ratings across all categories. The mean per category is as follows: 3.99 for functional suitability, 4.02 performance efficiency, 4.11 for reliability, and 4.04 for security, all rated as “Very Good.” These findings suggest Eminder’s potential to enhance emotional well-being. However, the Support Vector Machine (SVM) model used for emotion detection achieved only 48% accuracy, and the decision tree had an accuracy of 50%. Both models misclassify “fear” and “surprise” as other emotion, indicating the need for further improvements.

Filipiniana

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