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Quality Evaluation on Emotion Management Support App: A Case on Early Assessment of Emotional Health Issues

  • Anitawati Mohd Lokman (Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA) ;
  • Muhammad Nur Aiman Rosmin (Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA) ;
  • Saidatul Rahah Hamidi (Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA) ;
  • Surya Sumarni Hussein (Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA) ;
  • Shuhaida Mohamed Shuhidan (Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA)
  • 투고 : 2024.09.05
  • 발행 : 2024.09.30

초록

Emotional health is important for overall health, and those who are experiencing difficulties should seek professional help. However, the social stigma associated with emotional health, as well as the influence of cultural beliefs, prevent many people from seeking help. This makes early detection difficult, which is critical for such health issues. It would be extremely beneficial if they could assess their emotional state and express their thoughts without prejudices. On the market, there are emotional health apps. However, there was little to no evidence-based information on their quality. Hence, this study was conducted in order to provide evidence-based quality in emotional health mobile apps. Eleven functionality task scenarios were used to assess functional quality, while a System Usability Scale test (n=20) was used to assess usability, customer acceptability, learnability, and satisfaction. The findings show that the app for emotional health management is highly efficient and effective, with a high level of user satisfaction. This contributes to the creation of an app that will be useful and practical for people experiencing early-stage emotional health issues, as well as related stakeholders, in order to manage early-stage emotional health issues.

키워드

과제정보

The authors would like to acknowledge the Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM), the Research Initiative Group for Emotion, Kansei and Design Engineering (RIG EKDE), UiTM, as well as Malaysia Association of Kansei Engineering (MAKE), for all their assistance to the research paper.

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