Evaluating the Effectiveness and Usability of AR-based OSH Application : HazHunt

Ahmad Alif, Kamal and Syahrul Nizam, Junaini and Abdul Halim, Hashim (2022) Evaluating the Effectiveness and Usability of AR-based OSH Application : HazHunt. International Journal of Advanced Computer Science and Applications, 13 (5). pp. 99-106. ISSN 2158-107X

[img] PDF
Evaluating the - Copy.pdf

Download (190kB)
Official URL: https://thesai.org/Publications/ViewIssue?volume=1...

Abstract

This study investigates the effectiveness and usability level of an augmented reality (AR) application called HazHunt to improve occupational safety and health (OSH) training. Previous research shows that AR has been growing in popularity as an innovative tool to enhance hazard identification courses. HazHunt, a marker-based AR app, was first developed using Vuforia software with OSH experts' guidance. Then, two online sessions of hazard identification course were conducted, where the experimental group's (EG) training was enhanced with the implementation of HazHunt. Analysis shows that the EG scores better (mean = 13.82, s = 3.38, n = 22) than the CG (mean = 13.41, s = 2.15, n = 22) in the post-quiz, but this difference is statistically non-significant, with t (21) = 0.48 and one-tail p = 0.32. Reduced Instructional Motivation Survey (RIMMS) shows that EG participants obtained higher confidence levels among the Attention, relevance, confidence, satisfaction (ARCS) factors in learning motivation. The System Usability Scale (SUS) score of HazHunt recorded the maximum count of 'Good' rating (mean = 78.41, n = 8). It is concluded that HazHunt has positive impacts on enhancing OSH training in terms of effectiveness and motivational impact. HazHunt also scored a high SUS score among the EG.

Item Type: Article
Uncontrolled Keywords: OSH training; computer-aided training; online learning; marker-based AR; AR-based application; SUS score.
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
Q Science > QA Mathematics > QA76 Computer software
Divisions: Academic Faculties, Institutes and Centres > Centre for Pre-University Studies
Faculties, Institutes, Centres > Centre for Pre-University Studies
Academic Faculties, Institutes and Centres > Centre for Pre-University Studies
Depositing User: Kamal
Date Deposited: 03 Jun 2022 00:52
Last Modified: 03 Jun 2022 00:52
URI: http://ir.unimas.my/id/eprint/38600

Actions (For repository members only: login required)

View Item View Item