Augmented Reality Fraction Apps for Low Vision Alpha Generation Based on Affective Design Principles

• Published in: TEM Journal
• Main Author: Aziz N.; Ahmad S.Z.; Rahman W.R.Z.W.A.; Supli A.A.; Redzwan F.N.M.
• Format: Article
• Language: English
• Published: UIKTEN - Association for Information Communication Technology Education and Science 2022
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137283571&doi=10.18421%2fTEM113-04&partnerID=40&md5=76e2eff974eb45abb159d982e070e6c7

The advancement of affective computing and augmented reality (AR) have been growing rapidly in the Information and Communication Technology (ICT) domain. Even though the trend of both subresearch domains is increasing however most of the existing AR apps fail to stimulate affective interactions particularly in terms of feeling, thought, emotion, and action which is highly needed by the low vision alpha generation particularly to understand the fraction concept. Therefore, the objective of this study is to develop an Affective Augmented Reality Fraction Apps for Low Vision Alpha Generation (ARFA4LV). The 3-Phases Development Model which consisted of (i) pre-production, (ii) production, and (iii) postproduction has been utilized to develop the ARFA4LV. In addition, User-Centred Design (UCD) approach has been utilized throughout the development phase. The finding of this study is the ARFA4LV. The future work of this study is to provide the heuristic evaluation and user experience testing on ARFA4LV © 2022, Nurulnadwan Aziz et al; published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License