Browsing by Author "Thinnagorn Chunhapataragul"

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    Extensible Metaverse Implication for a Smart Tourism City
    (MDPI, 2022) Pannee Suanpang; Chawalin Niamsorn; Pattanaphong Pothipassa; Thinnagorn Chunhapataragul; Titiya Netwong; Kittisak Jermsittiparsert; P. Suanpang; Faculty of Science & Technology, Suan Dusit University, Bangkok, 10300, Thailand; email: pannee_sua@dusit.ac.th
    The metaverse is an innovation that has created the recent phenomenon of new tourism experiences from a virtual reality of a smart tourism destination. However, the existing metaverse platform demonstrated that the technology is still difficult to develop, as the service provider did not disclose the internal mechanisms to developers, and it was a closed system, which could not use or share the userÕs data across platforms. The aim of this paper was to design and develop an open metaverse platform called the Òextensible metaverseÓ, which would allow new developers to independently develop the capabilities of the metaverse system. The acquisition of this new technology was conducted through requirements analysis, then the analysis and design of the new system architecture, followed by the implementation, and the evaluation of the system by the users. The results found that the extended metaverse was divided into three tiers that created labels, characters, and virtual objects. Furthermore, the linking tier combined the 3D elements, and the deployment tier compiled the results of the link to use all three parts by using the Blender program, Godot Engine, and PHP + WebGL as their respective key mechanisms. This system was tested in Suphan Buri province, Thailand, which was evaluated by 428 users. The results of the metaverse satisfaction, created tourism experience, and overall satisfaction of the variation of the satisfaction of using the metaverse were 86.0%, 79.7%, and 92.9%, respectively. The relative Chi-square (_2/df) of 1.253 indicated that the model was suitable. The comparative fit index (CFI) was 0.984, the goodness-of-fit index (GFI) was 0.998, and the model based on the research hypothesis was consistent with the empirical data. The root mean square error of approximation (RMSEA) was 0.024. In conclusion, the extended metaverse is more flexible than other platforms and also creates the userÕs satisfaction and tourism experience in the smart destination to support sustainable tourism. © 2022 by the authors.
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    IoT Smart Innovation Bin for Promote Learning Garbage Segregation
    (2023-12-19) Chutiwan Boonarchatong; Thinnagorn Chunhapataragul; Saisuda Pantrakool; Phuripoj Kaewyong; Kanitta Wongma; Kongsak Boonarchatong
    The aims of this research were to develop smart innovative trash bins to be used as learning media for garbage segregation and to assessment the learning outcomes after playing the game with smart innovative trash bins. The sample group consisted of 400 grade 4, 5, and 6 students. A set of smart innovative trash bin contains four trash bins classified by type: 1) biodegradable garbage (green bin), 2) hazardous garbage (red bin), 3) general garbage (blue bin), and 4) recycle garbage (yellow bin). The bin embedded the program code in the Arduino board. Twelve garbage items, four types, had RFID tags. When users bring garbage into the correct type of garbage bin, the trash bin lid will open and close by itself. On the other hand, if the garbage is placed in the wrong garbage bin, the lid will not open. The result shown the sample group’s learning outcome of garbage segregation increased by with 3.52 scores or 17.6%. In summary, smart innovative trash bins able to promote learning outcomes of garbage segregation.
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    Smart Tourism Destinations Influence a TouristÕs Satisfaction and Intention to Revisit
    (Allied Business Academies, 2021) Pannee Suanpang; Titiya Netwong; Thinnagorn Chunhapataragul
    Smart Tourism Destinations (STD) are becoming significantly important for providing personalized tourism products and hospitality services via a digital platform to enhance a high-value experience and gain a competitive advantage for business. The objective of this study is to study the impact of smart tourism destinations that affect the revisit intentions during the COVID 19 pandemic in Thailand. Data was collected from 498 samples and a Structural Equation Model (SEM) was adopted. The findings supported the revisiting behavioral intention model which indicated that the overall satisfaction of tourist is reflected in the use of STD. The results found that the use of STD, travel experience, satisfaction, and revisiting intention are positively significant. The perceptions of smart tourism on revisiting intentions are significant. A significant relationship was observed between STD indirectly affecting travel experience (0.954), travel experience directly affecting satisfaction (0.870), satisfaction directly affecting revisiting intention (0.731), travel experience directly affecting revisiting intention (0.281) and finally, travel experience in-directed (0.248). The Relative Chi-square (_2/df) of 1.247 indicates that the model is suitable. The Comparative Fit Index (CFI) is 0.997, the Goodness Fit Index (GFI) is 0.956 and the model based on the research hypothesis is consistent with the empirical data. The Root Mean Square Error of Approximation (RMSEA) is 0.032. © 2021. All Rights Reserved.