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Fauziah Redzuan
Universiti Teknologi MARA (UiTM)

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Emotional responses in augmented reality based M-learning applications using Kansei engineering for secondary school students Farah Asyikin Jasmy; Fauziah Redzuan; Rogayah Abdul Majid; Norisan Abd Karim
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 3: December 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i3.pp1846-1854

Abstract

Design that evoked emotions are one of the main concerning issues in developing mobile applications for online learning in general and for augmented reality (AR) based mobile learning applications in specific. Emotional design could attract users by creating different feelings while using AR-based mobile learning applications. Suitable emotions related to design could motivate students towards fascinating learning experiences. The aim of this research is to evaluate the emotional responses of the students based on different designs in AR-based mobile learning applications using Kansei engineering technique. In this research, about thirty-two students from secondary school were involved in an experiment to identify the Kansei (emotion) words for AR-based mobile applications. The data gathered were analysed using factor analysis (FA), principal component analysis (PCA), and partial least square (PLS) analysis. The results revealed four important pillars of emotions or known as Kansei semantic space such as challenging-thinking, motivated, humorous, preoccupied and also touched as an additional pillar. Based on the PLS analysis of design elements of AR-based mobile learning applications suggested specific design and emotions based on the pillars. In conclusion, this research is motivated to give affective formulae that would guide the design of AR-based mobile learning materials in the future.
Parent’s acceptance on wearable technology for children’s safety Zadilhayat Mohammed; Fauziah Redzuan
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 2: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i2.pp1066-1073

Abstract

This paper presents a study on parent’s acceptance on wearable technology for children’s safety. Recently, there are many applications of wearable technology used in ensuring children’s safety, such as GPS tracking devices that are seen to be related to the safety of the children. However, the Malaysian parents have not been using these technologies to protect their children due to lack of knowledge on the wearable technology, non-familiarity with the devices, privacy and also security concern of data in wearable technology. Thus, the objective of the present research is to identify the significant factors that influence parents’ acceptance on wearable technology for their children’s safety and to identify the greatest influence factors for the acceptance of these wearable technologies for children’s safety. These factors are expected to bring about usefulness, ease of use, trust, privacy risk, financial risk and intention to use these technologies. As such, quantitative survey method was employed in the present study to obtain the result for the factors acceptance. The analysis and findings were done using IBM SPSS Version 25 tools via Pearson Correlation Analysis and Multiple Linear Regressions to get the result for the acceptance and to achieve the research objectives. Based on the result, it is discovered that the factors significant to intention to use of the wearable technology are perceived usefulness, perceived ease of use and trust while privacy and financial risk are factors seen to be non-significant to intention to use the wearable technology. Lastly, trust is discovered to be the greatest factor influencing parents to accept wearable technology and intention to use the technology. However, it is recommended for further study to employ experimental method in carrying out the research in order to get the real trust feeling of intention to use the wearable technology.
Factors that influence social media interaction among university students: emotional and mental well-being Nur Anis Mohd Jasmi; Fauziah Redzuan; Jasber Kaur Gian Singh
Indonesian Journal of Electrical Engineering and Computer Science Vol 43, No 2: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v43.i2.pp607-617

Abstract

Social media usage is becoming popular among students, which is used both for academic and entertainment. However, the excessive use of social media can increase the level of stress, anxiety, and depression. The social media interaction can also lead the students to compare themselves with influencers. This study aims to identify the factors and the significant relationship between the factors of social media interaction and emotional and mental well-being. This research used a quantitative research and hypothesis-driven approach. The existing theories, such as social capital theory and social comparison theory were adapted for the online survey questionnaires. The collected data were analysed using partial least square-structural equation modelling (PLS-SEM) to analyse the two objectives of this research. Based on the findings, twelve (12) constructs were identified as the factors that contribute to social media interaction on university students' emotional and mental well-being by assessing and validating the constructs using PLS-SEM. Then, there are thirteen (13) out of twenty-three (23) hypothesis were significant relationships based on the final model testing using PLS-SEM bootstrapping method. Ten (10) paths of direct effect, two (2) paths of mediating analysis, and one (1) path of moderating analysis were significant relationships and supported the alternative hypothesis. It is recommended for future studies to also explore other analysis techniques, theories, or models, and the changes to other group such as older generations or working adults.
Co-Authors Farah Asyikin Jasmy Jasber Kaur Gian Singh Norisan Abd Karim Nur Anis Mohd Jasmi Rogayah Abdul Majid Zadilhayat Mohammed