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This chapter examines the ‘embodied turn’ in the study of traditional Chinese sports and identifies issues within this area of research. It introduces new interpretative perspectives and approaches within the framework of bodily sociology to elucidate the link between locally-informed sports practices and the formation of socialized individuals. The chapter categorises the current research into three main themes: self-giving, the creation of bodily value and the construction of national identity through sports. It then integrates these themes with the findings of embodied sociology. The chapter compiles and analyzes the existing literature on traditional Chinese sports culture from both Chinese and international scholars, offering insights into the status, rationale and challenges of bodily sociological research. By contextualising the concept of the embodied turn in traditional Chinese sports culture – through concepts such as self-givenness, self-techniques, the generation of value and the creation of collective memory – the chapter discusses the impact of bodily sociology on cultural research. The chapter advocates for further bodily sociological studies of Chinese sports culture, which could enhance the understanding of Chinese studies among Western scholars and contribute to a genuine embodied turn in this field of study. Providing one of the initial explorations of embodied studies in traditional Chinese sports, the chapter reveals a transition from broad cultural interpretations and symbolic, structuralist sociology to a phenomenological approach in sports cultural studies. It posits that the bodily sociology approach is beneficial for sports studies although current research has not yet fully realized the embodied turn.

This study aims to offer a comprehensive exploration of the potential and challenges associated with sensor fusion-based virtual reality (VR) applications in the context of enhanced physical training. The main objective is to identify key advancements in sensor fusion technology, evaluate its application in VR systems and understand its impact on physical training.

The research initiates by providing context to the physical training environment in today’s technology-driven world, followed by an in-depth overview of VR. This overview includes a concise discussion on the advancements in sensor fusion technology and its application in VR systems for physical training. A systematic review of literature then follows, examining VR’s application in various facets of physical training: from exercise, skill development and technique enhancement to injury prevention, rehabilitation and psychological preparation.

Sensor fusion-based VR presents tangible advantages in the sphere of physical training, offering immersive experiences that could redefine traditional training methodologies. While the advantages are evident in domains such as exercise optimization, skill acquisition and mental preparation, challenges persist. The current research suggests there is a need for further studies to address these limitations to fully harness VR’s potential in physical training.

The integration of sensor fusion technology with VR in the domain of physical training remains a rapidly evolving field. Highlighting the advancements and challenges, this review makes a significant contribution by addressing gaps in knowledge and offering directions for future research.

Metaverse technology is of interest to researchers and practitioners in tourism and hospitality. The metaverse offers tourists the capacity to enjoy unprecedented tourism experiences. These opportunities may radically change the tourism and hospitality landscape. This study aims to examine how metaverse experiences affect tourists' cognitive processing, satisfaction and loyalty toward metaverse tourism using the stimulus-organism-response paradigm and cognitive experiential self-theory.

An online survey was undertaken to gather information from 329 respondents who were frequent users of different metaverse applications to meet the study's objectives. Data were evaluated through partial least squares structural equation modelling.

The findings revealed that metaverse experiences, such as immersion, escapism and enjoyment, had a significant positive impact on metaverse organismic experience. Additionally, metaverse cognitive processing positively influenced metaverse tourist responses, including satisfaction and loyalty, with tourist involvement acting as a moderator.

This study provides guidelines for metaverse developers and travel industry professionals to encourage visitor satisfaction and loyalty to metaverse tourism.

Metaverse 技术引起了旅游和酒店业的研究人员和从业人员的兴趣。 元宇宙为游客提供了享受前所未有的旅游体验的能力。 这些机会可能会从根本上改变旅游业和酒店业的格局。 本研究旨在使用刺激-有机体-反应 (S-O-R) 范式和认知体验自我理论 (CEST) 研究虚拟世界体验如何影响游客的认知处理、满意度和对虚拟世界旅游的忠诚度。

为了实现研究目标, 我们开展了一项在线调查, 从 329 名经常使用不同元宇宙应用程序的受访者那里收集信息。 通过偏最小二乘结构方程模型 (PLS-SEM) 评估数据。

研究结果表明, 虚拟世界体验, 如沉浸、逃避现实和享受, 对虚拟世界有机体体验有显着的积极影响。 此外, 虚拟世界的认知处理对虚拟世界游客的反应产生了积极影响, 包括满意度和忠诚度, 游客的参与起到了调节作用。

这项研究为元宇宙开发人员和旅游行业专业人士提供指导方针, 以鼓励游客对元宇宙旅游的满意度和忠诚度。

El Metaverso esta siendo de de interés para investigadores y profesionales en turismo y hotelería. Este avance tecnológico ofrece al turista la capacidad de disfrutar de experiencias turísticas inéditas, generando oportunidades que pueden cambiar radicalmente el panorama de la industria del turismo. Este estudio tiene la intención de examinar cómo las experiencias del metaverso afectan el procesamiento cognitivo, la satisfacción y la lealtad de los turistas hacia el turismo del metaverso utilizando el paradigma de estímulo-organismo-respuesta (S-O-R) y la auto-teoría cognitiva experiencial (CEST).

Se realizó una encuesta en línea para recopilar información de 329 encuestados que eran usuarios frecuentes de diferentes aplicaciones de metaverso para cumplir con los objetivos del estudio. Los datos se evaluaron a través de modelos de ecuaciones estructurales de mínimos cuadrados parciales (PLS-SEM).

Los hallazgos revelaron que las experiencias del metaverso, como la inmersión, el escapismo y el disfrute, tuvieron un impacto positivo significativo en la experiencia organísmica del metaverso. Además, el procesamiento cognitivo del metaverso influyó positivamente en las respuestas de los turistas del metaverso, incluidas la satisfacción y la lealtad, y la participación del turista actuó como moderador.

Este estudio proporciona pautas para los desarrolladores de metaversos y los profesionales de la industria de viajes para fomentar la satisfacción y la lealtad de los visitantes al turismo de metaversos.

This study aims to investigate the impact of regular Kung Fu and Taekwondo practice on the health and quality of life among elderly individuals in the Maule region, Chile.

The authors designed a 12-week Kung Fu and Taekwondo workshop with activities suitable for their age. Through semistructured interviews (at the beginning and the end of the workshop), along with periodic monitoring of vital signs and cardiovascular components, the authors observed an improvement in participants’ physical (strength, speed of reaction and flexibility) and psychological conditions (self-esteem and resilience), quality of life (relationships with family and friends and ability to deal with stressful events in working life) and health (waist circumference, percentage of oxygen saturation in blood, blood pressure, among other values).

From these results, the authors affirm that this workshop improves health and physical condition and helps the participants develop the coping capacity to deal with stressful situations and complicated interpersonal relationships. In this sense, the authors conclude that Kung Fu and Taekwondo as regular sports activities can benefit senior citizens’ aging process.

This research is based on an original study project.

The study aims to provide a detailed definition of Destination Cultural Reputation while also exploring its impact on tourist satisfaction through an investigation of the dynamics between these two elements. Additionally, the potential moderating role of on-site engagement in sustainable activities has been investigated, examining whether satisfaction prompts tourists to exhibit behaviors such as the intention to return and recommend the cultural destination.

To achieve these objectives, a survey and a structural equation model, based on a sample of 647 visitors to an important UNESCO World Heritage site (i.e. Urbino), have been adopted.

Findings confirm tourists’ recognition of the destination’s cultural reputation, supporting its relationship with visitor satisfaction. Additionally, tourist satisfaction is positively associated with destination loyalty. However, on-site sustainable activities negatively moderate the relationship between destination reputation and tourist satisfaction. This suggests that a favorable cultural reputation should align with quality sustainable activities in the destination to prevent tourist dissatisfaction.

The paper offers valuable practical insights for destination managers and policymakers aiming to enhance appeal and sustainability.

The study contributes to enhancing the understanding of the complex relationship between reputation, satisfaction, and loyalty in cultural destinations. In addiction it measures the reputation of tourist destination through the specific cultural dimension.

This study aims to introduce an innovative framework for mining tourism reviews that not only excels in sentiment analysis accuracy but also prioritizes user-friendly design for enhanced usability.

Online reviews of China’s Five Sacred Mountains were analyzed using an integrated methodology. Sentiment analysis was performed using ChatGPT, bidirectional encoder representations from transformers (BERT) and convolutional neural networks, with ChatGPT demonstrating superior performance. Latent Dirichlet allocation extracted key attributes. Models including importance–performance analysis (IPA), asymmetric impact-performance analysis (AIPA) and importance–performance competitor analysis (IPCA) then synthesized findings.

The results demonstrate that ChatGPT outperforms both machine learning and lexicon-based models in sentiment recognition, exhibiting performance comparable to that of the BERT model. In the case study, integrating sentiment analysis outcomes with IPA reveals deficiencies in both topics and attributes. Moreover, the synergistic combination of IPA, AIPA and IPCA furnishes actionable recommendations for resource management and enables nuanced monitoring of sustainability attributes.

Leveraging this framework in conjunction with the ChatGPT platform for application development can bring practical convenience to the tourism industry. It supports sentiment analysis, topic categorization and opinion mining. Equipped with monitoring capabilities, it provides valuable insights for sustainable improvement, aiding managers in formulating effective marketing strategies.

This research develops a novel multimodel framework integrating various ML/DL techniques and business models in a synergistic way. It provides an innovative and highly accurate yet simple approach to tourism review mining and enhances accessibility of advanced artificial intelligence for sustainable tourism monitoring, addressing limitations of prior methods.

本研究旨在引入一种创新的框架, 用于挖掘旅游评论, 不仅在情感分析准确性方面表现出色, 而且还优先考虑用户友好设计, 以提升可用性。

本研究使用综合方法分析了中国五岳的在线评论, 使用ChatGPT进行情感分析。LDA提取了关键属性。然后, 包括IPA、AIPA和IPCA在内的模型综合了研究结果。

结果表明, ChatGPT在情感识别方面优于机器学习和基于词典的模型, 表现与BERT模型相当。在案例研究中, 将情感分析结果与IPA结合起来揭示了主题和属性的不足。此外, IPA、AIPA和IPCA的协同组合为资源管理提供了可行的建议, 并实现了对可持续属性的细致监控

结合ChatGPT平台在应用开发中利用该框架可以为旅游业带来实际便利。它支持情感分析、主题分类和意见挖掘。配备了监控功能, 为可持续改进提供了宝贵的见解, 帮助管理者制定有效的营销策略。

本研究开发了一种新颖的多模型框架, 将各种ML/DL技术和商业模型以协同方式整合在一起。它提供了一种创新而高度准确但简单的方法, 用于旅游评论挖掘, 并提升了高级AI的可访问性, 以实现可持续旅游监测。