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Integration of Wearable, Persuasive, and Multimedia Design Principles in Enhancing Depression Awareness: A Conceptual Model

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IoT Technologies for Health Care (HealthyIoT 2021)

Abstract

The prevalence of depression among university students in Malaysia can be reflected in unprecedented suicide acts and attempts among university students across the country. However, there is a scarcity of reliable, practical, and comprehensive methods to curb the issue at the root cause - to empower one's controllability awareness. This study believes that promotion and awareness regarding the pertinent to the importance of mental health problems, especially to specific target groups, can be enhanced through technology. Meanwhile, studies have confirmed the relevance of persuasive methods in wearable technology, though to varying degrees. Persuasive technology has been widely used to create awareness in various domains. Moreover, the multimedia elements could be a value-added property to ensure the effectiveness of the technological solutions in enhancing awareness. Accordingly, this paper discusses constructing a model that integrates wearable, persuasive, and multimedia design principles to enhance one's controllability awareness of depression. The model is constructed through the content analysis method. As a result, a triad of three design principles was consolidated and validated through multidisciplinary expert reviews. This paper discusses the refinement process made to the proposed model, which is aimed to serve as a guideline for developing solutions to enhance controllability awareness on depression issues.

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Acknowledgement

This research was supported by the Ministry of Education (MOE) through Fundamental Research Grant Scheme (FRGS/1/2019/ICT04/UUM/02/5).

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Correspondence to Umi Hanim Mazlan .

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Mazlan, U.H., Sarif, S.M., Abdul Salam, S.N., Faisal Mohamed, N.F., Ibrahim, M. (2022). Integration of Wearable, Persuasive, and Multimedia Design Principles in Enhancing Depression Awareness: A Conceptual Model. In: Spinsante, S., Silva, B., Goleva, R. (eds) IoT Technologies for Health Care. HealthyIoT 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 432. Springer, Cham. https://doi.org/10.1007/978-3-030-99197-5_4

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  • DOI: https://doi.org/10.1007/978-3-030-99197-5_4

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-99197-5

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