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Artificial Intelligent applications for mental health support: a review paper

Khalaf, Ayesheh Ahrari and Hassan Abdalla Hashim, Aisha and Olowolayemo, Akeem and Olanrewaju, Rashidah Funke and UNSPECIFIED and UNSPECIFIED (2021) Artificial Intelligent applications for mental health support: a review paper. In: 4th International Conference on Engineering Professional Ethics and Education 2021 (ICEPEE'21), 22nd - 23rd June 2021, Kuala Lumpur, Malaysia.

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Abstract

Mental health is every human's right. Physical health cannot be achieved without a healthy mind. Good mental health helps dealing with the stress of life, affects physical health, and allows building and maintaining strong human relationships. Individuals with a healthy mind can be a valuable part of society and contribute to their community while feeling fulfilled and satisfied. While its importance is obvious, almost everyone at some points in their lives faces some life-altering experiences that could challenge their mental health, such as trauma, abuse and family problems, genetics, and lifestyles. At the moment, the treatment options are majorly limited to attending psychotherapy, medical therapy, and self-help. Unfortunately at the moment, the option of attending a psychotherapy session is not available or affordable for everyone around the world. Also, accessibility to professional therapists is limited. Besides that even though therapists are trained to be unbiased and fair, it is always harder for humans to overcome their personal preferences and biases. Sometimes that is way easier to control and manipulate with machines. This paper will review the latest advancements in technology, from mobile applications to robots, that are designed to help with mental health matters.

Item Type: Proceeding Paper (Plenary Papers)
Uncontrolled Keywords: Artificial Intelligence, Machine Learning, Mental Health, Therapeutic Chatbot, Deep Learning Approaches
Subjects: T Technology > T Technology (General) > T10.5 Communication of technical information
T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Kulliyyah of Information and Communication Technology
Kulliyyah of Information and Communication Technology

Kulliyyah of Information and Communication Technology > Department of Computer Science
Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User: Prof. Dr. Aisha Hassan Abdalla Hashim
Date Deposited: 29 May 2024 09:47
Last Modified: 29 May 2024 10:36
URI: http://irep.iium.edu.my/id/eprint/108401

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