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Combining the Technology Acceptance Model and Uses and Gratifications Theory to examine the usage behavior of an Augmented Reality Tour-sharing Application

机译:结合技术接受模型和使用与满足理论,研究增强现实旅游共享应用程序的使用行为

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An intelligent tour service system including an augmented reality (AR) tour-sharing Application (APP) and a query-answering server was developed in this study to promote tourist attractions involving local Hakka culture in Thailand. Subsequently, use of this APP to navigate Hakka culture tourist attractions in Thailand was observed. The novel random neural networks (RNNs) were proposed to obtain query-answering services, and the practical experimental results showed that the accuracy of RNNs was 99.51%. This study also integrated the Technology Acceptance Model with Uses and Gratifications Theory to predict the gratification, usage intention, and user attitudes toward marketed attractions of the AR tour-sharing APP. A questionnaire survey was conducted, and 446 valid questionnaires were returned. The following results were obtained: (a) self-presentation and perceived usefulness (PU) directly influenced gratification; (b) perceived entertainment indirectly influenced gratification through perceived ease of use and PU, and information sharing indirectly influenced gratification through PU; and (c) gratification was significantly and positively related to usage intention and attitude toward attractions. Based on these results, suggestions that new technology marketing can be used to promote causes other than Hakka tourist attractions established in Thailand can be contrived. For example, the tour-sharing APP developed in this study could be applied to emphasize the characteristics of Thai Hakka culture; users’ fondness for self-presentation and information sharing can be used for word-of-mouth marketing to attract additional visitors. In addition, this research provides a reference for enterprises and marketers regarding the use of AR tour-sharing APPs to market tourist attractions, and also for future related studies.
机译:这项研究开发了包括增强现实(AR)旅游共享应用程序(APP)和查询应答服务器的智能旅游服务系统,以推广涉及泰国当地客家文化的旅游景点。随后,观察到使用该应用程序导航泰国的客家文化旅游景点。提出了一种新颖的随机神经网络(RNN)来获取查询应答服务,实际实验结果表明,该方法的准确率达到了99.51%。这项研究还将技术接受模型与使用和满足理论结合在一起,以预测对AR旅游共享APP的市场吸引力的满足,使用意图和用户态度。进行了问卷调查,并返回了446份有效问卷。获得了以下结果:(a)自我表述和感知有用性(PU)直接影响满足感; (b)感知的娱乐通过感知的易用性和PU间接地影响了满足感,信息共享通过PU间接地影响了满足感; (c)满足与使用意图和对景点的态度显着正相关。根据这些结果,可以提出关于可以使用新技术营销来促进泰国以外的客家旅游景点以外的原因的建议。例如,本研究开发的旅游共享APP可以用来强调泰国客家文化的特征;用户对自我展示和信息共享的爱好可以用于口碑营销,以吸引更多的访问者。此外,本研究为企业和营销人员使用AR旅游共享APP推广旅游景点提供参考,也为以后的相关研究提供参考。

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