An AI-based mental health and loneliness support plushie

Norazhar, Fatin Nabila and Jamil, Muhammad Faris Fakhri and Baharum, Nuur Aleeysa and Roslan, Rohaiza (2025) An AI-based mental health and loneliness support plushie. In: Innovation in action: turning ideas into reality. Universiti Teknologi MARA, Negeri Sembilan, pp. 314-319. ISBN 9786299595304

Abstract

Mental health is a major public health concern around the world, and it should play a prominent role in the healthcare business. However, the rate of progress in this subject appears to be relatively modest. Recently, AI techniques have gained a lot of attention in other industries, including mental health. Current developments highlight AI's revolutionary potential, with applications including early identification of mental health issues, individualized treatment programs, and AI-powered virtual therapists. SoulSense has the potential to lower barriers to mental health care by offering 24-hour access, lowering costs, and reducing the stigma associated with seeking therapy. AI systems may examine enormous information to identify trends that human clinicians may overlook, resulting in more accurate assessments and tailored treatment strategies. However, the implementation of SoulSense in mental health presents considerable hurdles. Concerning areas like data privacy, ethical use, algorithmic prejudice, and AI's inability to completely duplicate human empathy must be addressed. This research investigates how SoulSense can supplement traditional therapy, the advantages and disadvantages of existing AI mental health technologies, and the ethical concerns required for responsible innovation. By evaluating current breakthroughs and case studies, the study hopes to emphasize the potential for AI to complement, rather than replace, human-centered mental health care, ensuring that technology improves rather than degrades therapeutic outcomes.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Norazhar, Fatin Nabila
UNSPECIFIED
Jamil, Muhammad Faris Fakhri
UNSPECIFIED
Baharum, Nuur Aleeysa
UNSPECIFIED
Roslan, Rohaiza
UNSPECIFIED
Subjects: A General Works > Academies and learned societies (General)
Divisions: Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus
Page Range: pp. 314-319
Keywords: Artificial Intelligence, mental health, diagnosis, therapy, ethical concerns
Date: 2025
URI: https://ir.uitm.edu.my/id/eprint/119860
Edit Item
Edit Item

Download

[thumbnail of 119860.pdf] Text
119860.pdf

Download (411kB)

ID Number

119860

Indexing

Statistic

Statistic details