A stereoscopic-based mobile augmented reality framework for disassembly training

Mohamed Jafar Sadik (P74177)

Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/476456

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DC Field	Value	Language
dc.contributor.advisor	Lam Meng Chun, Dr.
dc.contributor.author	Mohamed Jafar Sadik (P74177)
dc.date.accessioned	2023-10-06T09:18:48Z	-
dc.date.available	2023-10-06T09:18:48Z	-
dc.date.issued	2017-11-07
dc.identifier.other	ukmvital:97955
dc.identifier.uri	https://ptsldigital.ukm.my/jspui/handle/123456789/476456	-
dc.description	Augmented Reality (AR) technology able to interweave the real world with virtual objects in real time. Conventional AR setups require the user to wear a big Head-Mounted Display (HMD) or use small device screens that provide a small perspective of view and come with the constrain of the user’s movements and interaction. However, the rapid evolution of mobile technology has opened the opportunity to enhance the AR experience in learning of new skills. The lack of Mobile Augmented Reality (MAR) frameworks for assembly/disassembly training researches opens the opportunity to investigate more about the frameworks such as whether the frameworks have an influence on human memory especially the Long-Term Memory (LTM). The evaluation of LTM knowledge retention in previous researches was doubtful due to the short duration of time between the pre-test and post-test phase. Moreover, most of the previous AR frameworks were developed for a specific task and such frameworks are not suitable or difficult to be used for other tasks. Assembly/disassembly training is considered an essential process for individuals who undergo such types of tasks regardless of their previous knowledge. Thus, this research focuses on the exploring of the effectiveness of the MAR framework with stereoscopic technology in the assembly/disassembly training system on the information retention capability in LTM. Thus, this research developed a stereoscopic MAR framework for a disassembly training by attaching a mobile device to a head case to provide user a better visual assistance. The proposed stereoscopic MAR framework consists of two main parts; part one is the hardware part and part two is the AR environment. The hardware part consists of a mobile device with high computational power and headset case that permits a stereoscopic vision. Meanwhile, the AR elements consists of target tracking, 3d models, assembly animations, and an interaction method. An experiment consisting of pre-test and post-test phases has been conducted with 30 participants. The participants had been divided into two groups equally; one of the groups was assigned with stereoscopic MAR as an assistance tool while the other was assigned to a paper-based manual. A knowledge pre-test and post-test data, completion time, number of errors, and subjective data were collected in the experiment. The results showed that the MAR system group has an advantage over the traditional method group in the information retention and performance. Finally, the questionnaire results stated that the MAR system was more useful, easy to use and satisfactory, more than the paper-based manual.,Certification of Master's/Doctoral Thesis" is not available
dc.language.iso	eng
dc.publisher	UKM, Bangi
dc.relation	Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat
dc.rights	UKM
dc.subject	Augmented reality
dc.subject	Mobile technology
dc.subject	Framework
dc.subject	Universiti Kebangsaan Malaysia -- Dissertations
dc.title	A stereoscopic-based mobile augmented reality framework for disassembly training
dc.type	theses
dc.format.pages	123
dc.identifier.barcode	003038(2017)
Appears in Collections:	Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat

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