An Automatic Scenario Control in Serious Game to Visualize Tourism Destinations Recommendation

Abstract

In the field of tourism, serious games are a pedagogical media application that helps players develop travel knowledge and expertise based on game content. A tourism serious game requires a scenario control system to visualize an attractive travel scenario. This paper proposes an Automatic Scenario Control in the serious game to visualize travel recommendation scenarios choice according to the player's expectations of potential tourism destinations criteria. There are two stages in system development, namely scenario design and scenario selection. In the scenario design stage, we use the Hierarchical Finite State Machine to translate challenge-based stories according to the type of attraction. While at the scenario selection stage, Dynamic Weight Topsis is a method for selecting one of the player's recommended scenarios. This study uses tourism destinations recommendations as to alternative variables, characteristics of tourism destinations as criteria, and players' expectations of tourism destinations' characteristics as weight criteria. In the implementation phase, the tourism serious game uses the content of tourism destinations in Mojokerto Indonesia. The test results show that Automatic Scenario Control generates a preference value for each alternative as a reference for choosing tourism destination scenarios for the player. Three things affect the scenario choice results, including the choice of month of tourist visits, player expectations of tourist destinations, and alternative input from the recommender system.

Implementation of Personalized Information Recommendation Platform System Based on Deep Learning Tourism

“…In the planning of travel itinerary, it is compared with the elements of accommodation, transportation, and restaurants [2]. As the ultimate goal of tourists' travel itinerary, scenic spots are undoubtedly the most important part of itinerary planning; therefore, the choice of tourist attractions will greatly affect tourists' travel satisfaction and obtain the required scenic spot information from travel websites; at the time, tourists mainly rely on information retrieval and recommendation systems.…”

Destinations Ratings Based Multi-Criteria Recommender System for Indonesian Halal Tourism Game

“…At the same time, FN describes the number of items recommended by the test user but not included in the system recommendation ranking [36,37]. The following equation is a formula for accuracy, precision, recall and F1 score [8].…”

“…In this study, we propose implementing serious games as promotional media and fun education for tourists. Where today, the game is one of the new media in digital marketing technology [8]. The use of games in tourism can help potential tourists improve their knowledge and travel experience [9,10,11].…”

Performance of Multi-Criteria Recommender System Using Cosine-Based Similarity for Selecting Halal Tourism

“…Of all the scenarios designed, the system reduces it to several scenarios that are influenced by the recommendations of Top N tourism destinations. In its testing, ASC succeeded in producing a choice of scenarios in tourist destinations for players with an accuracy value of 0.78 [9].…”

“…The recommender system proposal in this study allows it to be applied in various media, for example, games, web, and mobile. Games can promote tourist attractions, and the costs incurred will be more efficient than promotions using posters or advertisements [9]. Tourists can use the game to get recommendations for halal tourist attractions and visualize the desired tourist attractions.…”