Mind Harbor: Development of an AI-Powered Prototype for Student Mental Health Support.
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| Title: | Mind Harbor: Development of an AI-Powered Prototype for Student Mental Health Support. |
|---|---|
| Authors: | Thomas, Sherin1 sherin.thomas@utas.edu.om, Devi, Jaishree1 jaishree.devi@utas.edu.om, Al Khuitari, Marwa Said Amur1 marwa.alkhuitari@utas.edu.om, Palanisamy, Ramesh1 ramesh.palanisamy@utas.edu.om |
| Source: | International Journal of Interactive Mobile Technologies. 2026, Vol. 20 Issue 12, p100-112. 13p. |
| Subjects: | Chatbots, Language models, Data protection, User-centered system design, Student well-being, Crisis intervention (Mental health services) |
| Geographic Terms: | Oman |
| Abstract: | This paper presents the development of a prototype for a system called Mind Harbor; an AI-based platform aimed at supporting the mental health of university students. It builds on our earlier study, Mind Harbor: Navigating Wellness Together--with AI Integration, which identified the need for socially sensitive and accessible mental health support in Oman. In this second phase, we move from concept to implementation. The system uses a chatbot powered by a large language model (LLM) to provide empathetic and context-aware conversations with students. The prototype follows human-centered design principles to ensure it feels supportive and non-judgmental. It includes a simple web and mobile interface, basic privacy through username-and-password login, and culturally adapted responses. The system architecture has four main layers: user interface, application layer, LLM integration, and data management with MongoDB. Features such as a mood tracker, guided prompts, and a crisis support button are included to make the platform more useful and safer. While the system is still in its early stage, this paper provides details of the design, development, and integration process. It also outlines privacy safeguards, limitations, and planned improvements. The prototype serves as a foundation for future testing, expert review, and stronger security features. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Interactive Mobile Technologies is the property of International Journal of Interactive Mobile Technologies and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194824142 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Mind Harbor: Development of an AI-Powered Prototype for Student Mental Health Support. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Thomas%2C+Sherin%22">Thomas, Sherin</searchLink><relatesTo>1</relatesTo><i> sherin.thomas@utas.edu.om</i><br /><searchLink fieldCode="AR" term="%22Devi%2C+Jaishree%22">Devi, Jaishree</searchLink><relatesTo>1</relatesTo><i> jaishree.devi@utas.edu.om</i><br /><searchLink fieldCode="AR" term="%22Al+Khuitari%2C+Marwa+Said+Amur%22">Al Khuitari, Marwa Said Amur</searchLink><relatesTo>1</relatesTo><i> marwa.alkhuitari@utas.edu.om</i><br /><searchLink fieldCode="AR" term="%22Palanisamy%2C+Ramesh%22">Palanisamy, Ramesh</searchLink><relatesTo>1</relatesTo><i> ramesh.palanisamy@utas.edu.om</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Interactive+Mobile+Technologies%22">International Journal of Interactive Mobile Technologies</searchLink>. 2026, Vol. 20 Issue 12, p100-112. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Chatbots%22">Chatbots</searchLink><br /><searchLink fieldCode="DE" term="%22Language+models%22">Language models</searchLink><br /><searchLink fieldCode="DE" term="%22Data+protection%22">Data protection</searchLink><br /><searchLink fieldCode="DE" term="%22User-centered+system+design%22">User-centered system design</searchLink><br /><searchLink fieldCode="DE" term="%22Student+well-being%22">Student well-being</searchLink><br /><searchLink fieldCode="DE" term="%22Crisis+intervention+%28Mental+health+services%29%22">Crisis intervention (Mental health services)</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Oman%22">Oman</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper presents the development of a prototype for a system called Mind Harbor; an AI-based platform aimed at supporting the mental health of university students. It builds on our earlier study, Mind Harbor: Navigating Wellness Together--with AI Integration, which identified the need for socially sensitive and accessible mental health support in Oman. In this second phase, we move from concept to implementation. The system uses a chatbot powered by a large language model (LLM) to provide empathetic and context-aware conversations with students. The prototype follows human-centered design principles to ensure it feels supportive and non-judgmental. It includes a simple web and mobile interface, basic privacy through username-and-password login, and culturally adapted responses. The system architecture has four main layers: user interface, application layer, LLM integration, and data management with MongoDB. Features such as a mood tracker, guided prompts, and a crisis support button are included to make the platform more useful and safer. While the system is still in its early stage, this paper provides details of the design, development, and integration process. It also outlines privacy safeguards, limitations, and planned improvements. The prototype serves as a foundation for future testing, expert review, and stronger security features. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Interactive Mobile Technologies is the property of International Journal of Interactive Mobile Technologies and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3991/ijim.v20i12.62164 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 100 Subjects: – SubjectFull: Chatbots Type: general – SubjectFull: Language models Type: general – SubjectFull: Data protection Type: general – SubjectFull: User-centered system design Type: general – SubjectFull: Student well-being Type: general – SubjectFull: Crisis intervention (Mental health services) Type: general – SubjectFull: Oman Type: general Titles: – TitleFull: Mind Harbor: Development of an AI-Powered Prototype for Student Mental Health Support. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Thomas, Sherin – PersonEntity: Name: NameFull: Devi, Jaishree – PersonEntity: Name: NameFull: Al Khuitari, Marwa Said Amur – PersonEntity: Name: NameFull: Palanisamy, Ramesh IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 06 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 18657923 Numbering: – Type: volume Value: 20 – Type: issue Value: 12 Titles: – TitleFull: International Journal of Interactive Mobile Technologies Type: main |
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