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Implementation of Chatbots in Mental Healthcare: A Human Factor Perspective

Authors:
Zhenqi Zhao
Onur Asan
Mo Mansouri

Keywords: Chatbot; Mental Health; Artificial Intelligence; Human Factors.

Abstract:
The global prevalence of mental health disorders, accentuated by the COVID-19 pandemic, emphasizes an urgent need for efficient solutions. This paper explored the potential of chatbots in addressing the mental health situation from a human factor perspective. Using stakeholder analysis, we identified and categorized various entities that influence or are influenced by the integration of chatbots in mental healthcare. A shaping forces analysis revealed driving factors such as increasing student mental health needs, existing therapy system limitations, and technological advancements. While chatbots serve as promising alternative solutions for mental health crisis, they come with challenges. This study offers a fresh perspective on understanding the interaction between chatbots and mental healthcare. It underscores the effects of this transition not only on directly affected stakeholders but also on participants who might be indirectly influenced within the system.

Pages: 1 to 5

Copyright: Copyright (c) IARIA, 2023

Publication date: September 25, 2023

Published in: conference

ISSN: 2308-4553

ISBN: 978-1-68558-112-1

Location: Porto, Portugal

Dates: from September 25, 2023 to September 29, 2023