PDF

AI-Based Mental Health Applications for College Students: A Literature Review of Qualitative Findings of User Needs

Rinda Nurul Karimah, Prawidya Destarianto, Dia Bitari, Reza Putra Pradana

2026enartificial intelligencemental healthcollege studentsmobile applicationsuser needsqualitative research

Abstract

Language:

College students around the world are experiencing increasing mental health challenges, and AI-based mental health applications are being adopted to provide scalable support. This systematic literature review synthesizes qualitative studies published between 2020 and 2025 on college students’ needs, preferences, and concerns when using AI-enabled mental health tools such as chatbots, adaptive modules, and mood trackers. Five dominant themes emerged: personalization and adaptability; privacy and confidentiality; accessibility and usability; emotional support and human-like interaction; and integration with campus ecosystems. Students highlighted the importance of transparent data practices, co-design processes, culturally sensitive content, and clear pathways linking digital tools to campus counseling and crisis services. The review identifies gaps including a lack of longitudinal evidence, limited research in low- and middle-income contexts, and minimal attention to intersectional differences. It concludes that effective AI-based mental health tools for students must prioritize participatory design, privacy and explainability, and close integration with institutional mental health services, supported by future longitudinal, cross-cultural, and equity-focused research.

Download

Cite This Work

@article{b45b13ce-081f-491f-93bb-7722c675322e,
  title={AI-Based Mental Health Applications for College Students: A Literature  Review of Qualitative Findings of User Needs  },
  author={Rinda Nurul Karimah and Prawidya Destarianto and Dia Bitari and Reza Putra Pradana},
  year={2026},
  language={en}
}
TY  - JOUR
TI  - AI-Based Mental Health Applications for College Students: A Literature  Review of Qualitative Findings of User Needs  
AU  - Rinda Nurul Karimah
AU  - Prawidya Destarianto
AU  - Dia Bitari
AU  - Reza Putra Pradana
PY  - 2026
LA  - en
ER  -

Similar Items

A Pilot Study to Assess the Coping among First Year Students of Bachelor of Science in Nursing Course from a Selected College of Nursing, Bangalore

Jessy Jacob, Dr. Punitha V. Ezhilarasu

Beginning life at college naturally generates both excitement and anxiety for many reasons including the academic responsibilities and meeting new peo

2017enPDF

Artificial intelligence-aided materials design: AI-algorithms and case studies on alloys and metallurgical processes

Rajesh Jha, Bimal Kumar Jha

This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t

2022enPDF

Challenges and opportunities in the recovery of gold from electronic waste

Mudila Dhanunjaya Rao, Kamalesh K. Singh

Rapid global technological development has resulted in increased production of electronic waste, which presents both challenges and opportunities in r

2023enPDF

640069

Roger Rumbu

2025enPPTX

Optimization of Integrated Steel Plant R

This paper addresses the challenge of assessing the feasibility of wind power plant projects at sites with insufficient or no local historic wind data

2025enPDF

Role of Shirodhara in the Management of Stress Induced Psoriasis

Lande Prashant Adinatha, Dnyaneshwar. K. Jadhav, Patil Arati S

Ayurveda is a holistic science and is taken as the base module for other sciences. Which include importance to mind for healthy state. Modern era has

2016enPDF