PURPOSE: To identify the main findings from research on gamified virtual reality in sport METHODS: The digital databases for this review were searched and visited on 19 May 2019. Gamification AND ("virtual reality" OR sports fitness) were used as a search string or keyword in the paper selection. RESULTS: Thirty -three papers were found after the preliminary searches to narrow down the selections that align with the goals of this study. The selected papers were examined to investigate the characteristics of gamification in a broad context of sports. These findings suggest that the use of gamification methods help physical exercise in the immersive VR setting. CONCLUSION: Through the outcomes of user experience, it can prove that gamification components are boosting the pleasure of the user throughout the physical activity and provide a set of rules to encourage the athlete or user to perform better. Besides, generality of impacts with VR and gamification in sports has been discussed in this paper by listing the advantages and limitations. However, findings need more varied populations, particularly elements, athletes, kids, and older people.

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Pathfinding is a broadly applied algorithm that involved the discovery of routes between two positions by avoiding obstacles at the same time. Recently, a significant number of researchers focusing on informed search algorithms for pathfinding concerning games. However, review regarding the latest optimization in the pathfinding algorithm and its advantages still lacks in the literature. To organize this heterogeneity, this paper presents a review that focused on numerous modifications to enhance the execution of the informed search algorithm through four classified perspectives: i) modification to the graph representation, ii) enhancement of heuristic function, iii) hybrid search algorithm, and iv) new data structure. This paper also aims to discuss common challenges faced by pathfinding in video games and providing future trends for optimization. While incorporating pathfinding optimization over the past decade, this paper also aims to assist new researchers by emphasizing the potential path for further exploration.

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