Year: 2024
Type: article
Abstract: : The rise of mental health concerns globally has prompted the exploration of innovative solutions to support individuals in need of emotional care. One promising development is the use of mental health chatbots, which leverage advancements in natural language processing (NLP), artificial intelligence (AI), and sentiment analysis to offer immediate, accessible, and personalized psychological support. This review paper examines the current landscape of mental health chatbots, evaluating their design, functionality, and effectiveness in providing mental health interventions. The paper discusses the integration of AI techniques like emotion recognition and cognitivebehavioral therapy (CBT) frameworks to assess the emotional state of users, offer guidance, and recommend coping mechanisms. Key challenges such as privacy concerns, ethical implications, and the need for human oversight are also addressed. By reviewing case studies and empirical evidence, this paper highlights both the potential and limitations of mental health chatbots in supplementing traditional therapeutic practices. The review concludes with recommendations for enhancing chatbot efficiency, user engagement, and the overall effectiveness of AI-driven mental health solutions.
Language: English
Subfield: Applied Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4403298923