Vol.11, No.3, August 2022.                                                                                                                                                                              ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333

TEM Journal

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science

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

Nurulnadwan Aziz, Siti Zulaiha Ahmad, Wan Rahzihan Zulnasyreeq Wan A Rahman, Ahmad Affandi Supli, Fatimah Nur Mohd Redzwan

© 2022 Nurulnadwan Aziz, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

Citation Information: TEM Journal. Volume 11, Issue 3, Pages 1013-1019, ISSN 2217-8309, DOI: 10.18421/TEM113-04, August 2022.

Received: 16 March 2022.

Revised:   18 July 2022.
Accepted: 26 July 2022.
Published: 29 August 2022.

Abstract:

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.

Keywords –Mobile Human-Computer Interaction, Assistive Technology, Augmented Reality, Affective Design, User-centred Design Approach, Heuristic Evaluation, User’s Experience.

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