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https://ptsldigital.ukm.my/jspui/handle/123456789/513350Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Haslina Arshad, Prof. Dr. | - |
| dc.contributor.author | Waqas Khalid Obeidy (P80535) | - |
| dc.date.accessioned | 2023-10-16T04:35:46Z | - |
| dc.date.available | 2023-10-16T04:35:46Z | - |
| dc.date.issued | 2018-08-06 | - |
| dc.identifier.other | ukmvital:119634 | - |
| dc.identifier.uri | https://ptsldigital.ukm.my/jspui/handle/123456789/513350 | - |
| dc.description | Modern day technologies including wearables devices such as smart glasses have changed the way people interact with their surroundings. Such developments have resulted in increased popularity of augmented reality (AR) applications to project context-aware information on objects or users’ immediate surroundings. In order to enhance the overall tourism experience, a number of recent works have highlighted the opportunities of using smartphone based outdoor AR or navigation AR systems. Due to the development of context-aware AR, tourists using such a technology can acquire valuable knowledge and experience. Recent context–aware AR research lack empirical studies and works that integrates dimensions which are specific to cultural heritage tourism and smart glass specific context. Hence, this work proposes an AR acceptance model in the context of cultural heritage tourism and smart glasses capable of performing outdoor augmented reality. To map the requirements and find out the aspects that might be encouraging tourists to actively utilize AR, a purposive quota sampling method is used to collect the data of 24 tourists and 4 AR application development experts through affinity mapping technique. To gather in-depth information about the resultant external dimensions in this research, five focus groups constituting 26 participants and 4 experts were organized. The thematic analysis of the data revealed four main aspects that should be incorporated into AR acceptance research, including information quality (IQ), visual appeal (VA) and technology readiness (TR) as well as facilitating conditions (FC). Thus, this study conceptualizes these crucial factors of AR usage as well as how these influence tourists AR usage intention and destination visit intention through their beliefs and AR attitude, in the form of an acceptance model. Quantitative research methods based on inferential statistics have been employed for data collection conducted. Samples from 152 tourists were collected in a field study conducted at UNESCO World Heritage sites in Malacca. This field study data was used to analyze the hypotheses with structural equation model (SEM) using SmartPls 3.0. Results from the analysis indicated the developed models convergent validity, discriminant validity and model fitness. The result also implied that IQ, VA and TR were found to be predictors of perceived usefulness. In addition, IQ, VA and FC affected perceived ease of use. This study therefore, contributes to the knowledge of three domains; augmented reality, cultural heritage tourism and technology acceptance by identifying specific tourist requirements and acceptance factors.,Ph.D. | - |
| 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 | Context-aware computing | - |
| dc.subject | Culture and tourism | - |
| dc.subject | Universiti Kebangsaan Malaysia -- Dissertations | - |
| dc.title | Context-aware acceptance model for smart glass based augmented reality tourism | - |
| dc.type | Theses | - |
| dc.format.pages | 217 | - |
| dc.identifier.callno | QA76.9.A94O248 2018 3 tesis | - |
| dc.identifier.barcode | 004041(2019) | - |
| Appears in Collections: | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ukmvital_119634+SOURCE1+SOURCE1.0.PDF Restricted Access | 2.83 MB | Adobe PDF |  View/Open |
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