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AI-powered CBT: Investigating the impact of voice-based generative AI on reframing anxious thoughts
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Author (aut): Wong, Sophia
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| Description / Synopsis |
Description / Synopsis
With increasing demand for accessible mental health care, AI-driven interventions offer a scalable solution, yet their effectiveness in delivering cognitive-behavioral therapy (CBT) remains underexplored. This study examines whether AI voice-generated CBT exercises can help users reframe anxious thoughts. Participants engage with an AI-based CBT intervention, with pre- and post-intervention self-report measures assessing anxiety reduction and cognitive restructuring. Anticipated findings suggest AI interventions will be moderately effective, potentially comparable to human-guided CBT, though limitations in personalization and engagement may arise. These results could support AI’s role in expanding mental health accessibility, particularly for under-resourced populations. Poster submission was sponsored by Dr. Shahnaz Winer, (Psychology Department) and was presented at the Coquitlam campus on April 10, 2025, for Student Research Days 2025.
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Physical Description Note
1 coloured poster.
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Use and Reproduction
©The Author.
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Rights Statement
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| Keywords |
Keywords
AI
Artificial Intelligence
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English
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AI-powered CBT: Investigating the impact of voice-based generative AI on reframing anxious thoughts
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application/pdf
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718010
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