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Publicação
Exploring User Acceptance of AI Chatbots in Mental Health Support
| Nome: | Descrição: | Tamanho: | Formato: | |
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| 1.96 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
The global rise in mental health disorders has placed growing pressure on traditional
diagnostic and therapeutic systems, often leaving individuals without timely or adequate care.
AI-powered chatbots offer a promising alternative by delivering scalable and accessible
mental health support. However, concerns about trust, privacy, algorithmic bias, and ethical
responsibility continue to limit their adoption. This study explores how psychological and
technological factors including trust, perceived usefulness, privacy concerns, and mental
health stigma influence user acceptance of AI chatbots in mental healthcare. The analysis is
guided by a combined theoretical framework that integrates the Technology Acceptance
Model, the Health Belief Model, the Trust in Technology Framework, and the Unified Theory
of Acceptance and Use of Technology. Using Structural Equation Modelling, the study tests
relationships among key constructs that shape user attitudes and behavioural intentions.
Findings show that trust and perceived competence strongly predict intention to use, while
privacy concerns and stigma present major barriers. These insights inform ethical and user-centred AI design for mental health applications.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Business Intelligence
Palavras-chave
AI Chatbots Mental Health Technology Acceptance Trust in Technology Privacy Concerns SDG 3 - Good health and well-being