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November 13, 2022 to November 17, 2022 - Valencia, Spain

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ThinkMind // eTELEMED 2020, The Twelfth International Conference on eHealth, Telemedicine, and Social Medicine // View article etelemed_2020_3_200_40089


Emotional Self-Awareness System for Mental Health

Authors:
Olufemi Isiaq
Saeed Masooma

Keywords: emotional intelligence; emotional self-awareness; lifestyle changes; mHeath; Software as a Medical Device (SaMD); eHealth; mental health systems; diagnosis; prevention; alleviation; SAMBEDS.

Abstract:
A considerable proportion of the human population experience a form of mental health disorder but estimated are about 350 million people suffering from depression according to the World Health Organisation. Now considered one of the leading health conditions, depression contributes significantly to the recorded health-related work absences in the western world. Although mental health associated issues exacerbate for various shortcomings, practitioners and patients have been exploring different methods to conquer this exacerbating circumstance. A notable potent strategy in recent times is the adoption of lifestyle management through emotional self- awareness. While the concept of emotional self-awareness is linked to emotional intelligence, accomplishing a hallmark of realistic self-assessment can be challenging for the potential difficulty of comprehension (i.e., signs and symptoms may be ambiguous or incorrectly comprehended), which may cause misdiagnosis and maltreatment. This work acknowledges the surge in eHealth and presents SAMBEDS emotional self-aware model for managing anxiety and depression through lifestyle management. Thirty-four lived experience candidates participated in the co-created emotional self-aware system prototype, which considers lifestyle factors for managing depression and anxiety. We adopted quantitative and qualitative methods (questionnaires, informal and formal feedback sessions) to co-create the system requirements, design and evaluation. Besides, the user experience study conducted appraises the user activities using a 360-degree camera and eye-tracking device. Although only 50% of the service users are depression and anxiety diagnosed candidates, 70% of the overall participants (including other types of diagnoses) showed high fulfilment in terms of design, usability and efficacy of the for managing system mental health conditions.

Pages: 135 to 141

Copyright: Copyright (c) IARIA, 2020

Publication date: March 22, 2020

Published in: conference

ISSN: 2308-4359

ISBN: 978-1-61208-763-4

Location: Valencia, Spain

Dates: from November 21, 2020 to November 25, 2020

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