Activating the Mobile User Interface With a Rule-Based Chatbot and EEG-Based Emotion Recognition to Aid in Coping With Negative Emotions
Mental health depends on emotional intelligence (EI), the ability to recognize, understand, and manage emotions. As emotions—positive and negative—influence our actions, decisions, and health, EI has become more important in today’s fast-paced society. Negative emotions, in particular, pose a challe...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
|
| Series: | Human Behavior and Emerging Technologies |
| Online Access: | http://dx.doi.org/10.1155/2024/7499554 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832544160465289216 |
|---|---|
| author | Haneen Reda Banjar Lujain Alsefri Aseel Alshomrani Morouj Hamdhy Sara Alahmari Sanaa Sharaf |
| author_facet | Haneen Reda Banjar Lujain Alsefri Aseel Alshomrani Morouj Hamdhy Sara Alahmari Sanaa Sharaf |
| author_sort | Haneen Reda Banjar |
| collection | DOAJ |
| description | Mental health depends on emotional intelligence (EI), the ability to recognize, understand, and manage emotions. As emotions—positive and negative—influence our actions, decisions, and health, EI has become more important in today’s fast-paced society. Negative emotions, in particular, pose a challenge due to their complexity and the difficulty in managing them effectively. The “Motus Up” mobile app represents a significant leap in personal mental health management by merging EEG-based emotion recognition with a rule-based chatbot to aid users in managing negative emotions. Utilizing principles of EI, the app customizes the mobile interface color settings, suggesting activities and providing advice suited to the user’s emotional state confirmed by the chatbot. The emotion recognition model is trained and tested using the SEED-IV dataset, ensuring compatibility with consumer EEG headbands and accurate detection of complex emotions like sadness and fear. Thorough static and dynamic testing has validated the app’s design and operational efficacy, confirming its preparedness for practical use. By combining real-time EEG data analysis with intelligent chatbot interactions, “Motus Up” stands out as an innovative mental health tool that enhances EI and offers a responsive experience for emotional self-regulation. This integration of technology and psychology in a mobile platform is poised to improve mental well-being and EI on a personal scale. |
| format | Article |
| id | doaj-art-d7f05f0b9b0e4642a2e7a125a00e4a5b |
| institution | Kabale University |
| issn | 2578-1863 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Human Behavior and Emerging Technologies |
| spelling | doaj-art-d7f05f0b9b0e4642a2e7a125a00e4a5b2025-02-03T10:54:42ZengWileyHuman Behavior and Emerging Technologies2578-18632024-01-01202410.1155/2024/7499554Activating the Mobile User Interface With a Rule-Based Chatbot and EEG-Based Emotion Recognition to Aid in Coping With Negative EmotionsHaneen Reda Banjar0Lujain Alsefri1Aseel Alshomrani2Morouj Hamdhy3Sara Alahmari4Sanaa Sharaf5Computer Science DepartmentComputer Science DepartmentComputer Science DepartmentComputer Science DepartmentComputer Science DepartmentComputer Science DepartmentMental health depends on emotional intelligence (EI), the ability to recognize, understand, and manage emotions. As emotions—positive and negative—influence our actions, decisions, and health, EI has become more important in today’s fast-paced society. Negative emotions, in particular, pose a challenge due to their complexity and the difficulty in managing them effectively. The “Motus Up” mobile app represents a significant leap in personal mental health management by merging EEG-based emotion recognition with a rule-based chatbot to aid users in managing negative emotions. Utilizing principles of EI, the app customizes the mobile interface color settings, suggesting activities and providing advice suited to the user’s emotional state confirmed by the chatbot. The emotion recognition model is trained and tested using the SEED-IV dataset, ensuring compatibility with consumer EEG headbands and accurate detection of complex emotions like sadness and fear. Thorough static and dynamic testing has validated the app’s design and operational efficacy, confirming its preparedness for practical use. By combining real-time EEG data analysis with intelligent chatbot interactions, “Motus Up” stands out as an innovative mental health tool that enhances EI and offers a responsive experience for emotional self-regulation. This integration of technology and psychology in a mobile platform is poised to improve mental well-being and EI on a personal scale.http://dx.doi.org/10.1155/2024/7499554 |
| spellingShingle | Haneen Reda Banjar Lujain Alsefri Aseel Alshomrani Morouj Hamdhy Sara Alahmari Sanaa Sharaf Activating the Mobile User Interface With a Rule-Based Chatbot and EEG-Based Emotion Recognition to Aid in Coping With Negative Emotions Human Behavior and Emerging Technologies |
| title | Activating the Mobile User Interface With a Rule-Based Chatbot and EEG-Based Emotion Recognition to Aid in Coping With Negative Emotions |
| title_full | Activating the Mobile User Interface With a Rule-Based Chatbot and EEG-Based Emotion Recognition to Aid in Coping With Negative Emotions |
| title_fullStr | Activating the Mobile User Interface With a Rule-Based Chatbot and EEG-Based Emotion Recognition to Aid in Coping With Negative Emotions |
| title_full_unstemmed | Activating the Mobile User Interface With a Rule-Based Chatbot and EEG-Based Emotion Recognition to Aid in Coping With Negative Emotions |
| title_short | Activating the Mobile User Interface With a Rule-Based Chatbot and EEG-Based Emotion Recognition to Aid in Coping With Negative Emotions |
| title_sort | activating the mobile user interface with a rule based chatbot and eeg based emotion recognition to aid in coping with negative emotions |
| url | http://dx.doi.org/10.1155/2024/7499554 |
| work_keys_str_mv | AT haneenredabanjar activatingthemobileuserinterfacewitharulebasedchatbotandeegbasedemotionrecognitiontoaidincopingwithnegativeemotions AT lujainalsefri activatingthemobileuserinterfacewitharulebasedchatbotandeegbasedemotionrecognitiontoaidincopingwithnegativeemotions AT aseelalshomrani activatingthemobileuserinterfacewitharulebasedchatbotandeegbasedemotionrecognitiontoaidincopingwithnegativeemotions AT moroujhamdhy activatingthemobileuserinterfacewitharulebasedchatbotandeegbasedemotionrecognitiontoaidincopingwithnegativeemotions AT saraalahmari activatingthemobileuserinterfacewitharulebasedchatbotandeegbasedemotionrecognitiontoaidincopingwithnegativeemotions AT sanaasharaf activatingthemobileuserinterfacewitharulebasedchatbotandeegbasedemotionrecognitiontoaidincopingwithnegativeemotions |