Meezaj: An Interactive System for Real-Time Mood Measurement and Reflection based on Internet of Things

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Abstract

Subjective well-being has a critical affect on progress and productivity vital for digital and strategical transformation. Increase in the suicide attempts of the college and university students is a clear indication of stress and anxiety among the students. Offering a fulfilling and healthy life to promote the life-long learning journey is also one of the important objectives of the Vision 2030 for modernization of the Kingdom of Saudi Arabia. Due to the multifaceted nature of subjective well-being, real-time mood measurement and reflection is a challenging task and demands using latest technologies. This paper aims to present Meezaj, an interactive system for real-time mood measurement and reflection leveraging the Internet of Things (IoT) technology. Architecture and workflow of the Meezaj system are discussed in detail. Meezaj not only promotes the sense of significance in the students, by indicating that their happiness matters in decision making, but also assists policy makers to identify factors affecting the happiness in an educational institute.

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APA

Ahmad, E. (2020). Meezaj: An Interactive System for Real-Time Mood Measurement and Reflection based on Internet of Things. International Journal of Advanced Computer Science and Applications, 11(11), 629–636. https://doi.org/10.14569/IJACSA.2020.0111177

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