First Advisor
Lee Anne Knox
Date of Award
Winter 3-1-2024
Document Type
Thesis
Degree Name
Bachelor of Arts (B.A.) in Psychology and University Honors
Department
Psychology
Language
English
Subjects
Artificial Intelligence, Therapy, Tool, Humans, Interaction, Chatbot
DOI
10.15760/honors.1566
Abstract
Artificial Intelligence (AI) has emerged as a transformative tool in various fields, including mental health care and therapy. This study provides a comprehensive review of literature, gathered through Portland State University's Online Library, on the potential of AI as a stepping stone towards face-to-face therapy. The study examines the historical development of AI in mental health, highlighting its development and advancements that have influenced its current implementations.
In addition to its direct applications in therapy, AI is also examined in the context of its role as a facilitator or "stepping stone" in the delivery of mental health care. AI-driven platforms and applications have the potential to bridge gaps in access to mental health services, particularly in underserved or remote areas, by providing immediate support and guidance to individuals in need. However, the review also acknowledges that AI is not capable of replacing human to human interaction and should be viewed as a complement rather than a replacement for traditional therapy.
This thesis revealed that artificial intelligence and chatbot applications involved in therapeutic settings can reliably serve as "stepping stones" towards Face-to-Face therapy. Though there is need for further research on the long term impacts of engagement with AI programs as well as liability issues, programs with carefully led supervision and implementation in a patient's process can help to improve mental health and bridging the connection to therapists as well.
Rights
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Persistent Identifier
https://archives.pdx.edu/ds/psu/42168
Recommended Citation
Salcido, Zachary, "Can Artificial Intelligence Be Used As a Stepping-Stone Towards Face-To-Face Therapy?" (2024). University Honors Theses. Paper 1534.
https://doi.org/10.15760/honors.1566