• Journal of Institute of Control, Robotics and Systems
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• v.18 no.10
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• pp.955-963
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• 2012

A mobile tour-guide robot is a very attractive tour-guide in the exhibition hall of science museums and the necessity of tour-guide robots for museums is gradually increasing. Two kinds of robots have served as tour-guide robots in an exhibition hall of the Korea National Science Museum which is a very densely populated museum of many people and exhibits. The robots move around the large exhibition area and provide guide services to lots of visitors. A robot leads the way to the exhibit that a visitor wants to find and it takes the shortest route. Robots were operated for four months from January to April 2011, and we observed behavior of visitors and collected subjective evaluation of users. The result shows that there are four stages of using a mobile tour-guide robot and some differences of subjective evaluations depending on the gender and the age of the user and we suggest several improvements on the mobile tour-guide robot.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.1
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• pp.85-93
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• 2022

This paper contains the design and implementation results of a package tour management application using a Geofence technology as well as the performance evaluation. This application ables the tour guide to monitor the tourist movement in real-time whether the tourists are inside the virtual polygonal Geofence set by the tour guide. Even when the tour is moving between travel destinations, a virtual circular Geofence can be set by the tour guide to monitoring the tourist movement while on the move. The application includes tour guide's and tourist's locations, schedule and participant management. To evaluate the performance, average response time and accuracy is measured, resulting in satisfactory performance. The average response time ranged from 0.0047 seconds to 7.3 seconds in various cases and for accuracy, it scored 100% in various cases. It is expected that implementing Geofence technology to package tour management applications will help tour guides to perform more productive package tours by reducing the burden of managing tourists.

• International Area Studies Review
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• v.16 no.1
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• pp.53-74
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• 2012

The bundling of multiple products/services at a set price has become a popular marketing strategy. However, little is known on how effects of bundling strategy influence tourists' evaluation of tour packages. Tourists evaluate a tour package based on the trade-off between the perceived benefits and costs involved in purchasing the tour package. In other words, the perceived value of the tour package influenced whether tourists to purchase a tour package or not. This study tested a tour package based on the theory of bundling, taking a moderating approach with perceived value. The data for this study wascollected by subjects who live Seoul Metropolitan Area and Gyeonggi Province and 4234 respondents, potential tourists to northeastern U.S.A/Canada. Results show that bundling taken by travel agencies include how many product items to put in a tour package and what degree of discount for the tour package. Also explaining functional relationship among product items in the tour package. Result show that tourists expect a discount, large or small, from purchasing a tour package. And the larger the number of products in a tour packages, the larger the discount size, and low functional relationship among items tourists expect to get.

• Human Ecology Research
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• v.54 no.5
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• pp.529-539
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• 2016

This study confirmed shopping behavior of Korean young overseas tourists and its effect on travel evaluation. I first identified core factors of travel activity preference, travel shopping propensity, and shopping products. The effect of shopping product satisfaction on tour satisfaction and post-tour intention was then investigated. Based on travel activities, tourists were grouped, and their characteristics were compared. An online survey method was performed to obtain data of 20's-30's Korean unmarried people, while factor analysis, regression analysis, chi-square test, analysis of variance (ANOVA), and cluster analysis were applied to analyze data. The results were as follows. First, six travel activities (city life, art/shopping, cultural experience, entertainment, field experience, and friendship), three shopping propensity (novelty/uniqueness, utility, and prestige), and four product groups (fashion goods, household goods, crafts, and foods) were found by factor analyses. Second, travel activity tended to influence shopping propensity, which then influenced shopping products preference. All factors of travel activity seemed to affect the three travel shopping propensities. Third, shopping satisfaction was shown to affect tour satisfaction, and posttour behavior. Finally, four tourist groups (active, social, pleasure, and passive) differed in terms of preferred tour activities, shopping propensity, and tour behavior. Active tourists rated the highest scores and passive ones rated the lowest for most evaluations.

• ETRI Journal
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• v.46 no.3
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• pp.473-484
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• 2024

We introduce a machine learning-based web application to help travel agents plan a package tour schedule. K-nearest neighbor (KNN) classification predicts the optimal tourists' dwelling time based on a variety of information to automatically generate a convenient tour schedule. A database collected in collaboration with an established travel agency is fed into the KNN algorithm implemented in the Python language, and the predicted dwelling times are sent to the web application via a RESTful application programming interface provided by the Flask framework. The web application displays a page in which the agents can configure the initial data and predict the optimal dwelling time and automatically update the tour schedule. After conducting a performance evaluation by simulating a scenario on a computer running the Windows operating system, the average response time was 1.762 s, and the prediction consistency was 100% over 100 iterations.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.763-767
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• 2008

This paper investigates a selected criteria of cost elements in prior researches on value of package tour products, satisfaction of the tourist and cost elements of package tour products. In theoretical point of view, this paper shows the relationship between the value of the package tour products and satisfaction of the tourist. In this paper, the selected criteria of cost elements in package tour products for evaluating the satisfaction of the tourist are also analyzed. This research shows travel agencies' focus on the plan and products and consumers' needs. Also this can be used for development of package tour products which meet the consumers' needs as package tour product suppliers. Meanwhile, other purpose of this research is to help investigate evaluation indicators of package tour products for tourists and travel agencies based on cost elements.

• Journal of Korean Institute of Industrial Engineers
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• v.43 no.1
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• pp.62-71
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• 2017

In order to attract foreign tourists, it is important to understand what factors on domestic tour spots are critically considered and how they are evaluated after visit. However, most of the researches on tour business have collected information from tourists through survey on a small number of tourists, which leads to inaccurate and biased conclusion. In this paper, we suggest a data-driven methodology to figure out tourists' satisfaction factors and estimate sentiment scores on them. To do so, we collected review comments data from popular web site. Latent dirichlet allocation is employed to extract key factors and elastic net is used to estimate sentiment scores. Then, an aggregated evaluation score is generated by combining the factors and the sentiment scores per topics. Our proposed method can be used to recommend travel schedules with themes and discover new spots.

• Journal of Applied Tourism Food and Beverage Management and Research
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• v.17 no.1
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• pp.69-84
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• 2006

Recently, Cruise travel Industry becomes a major market in the SIT tour. this perspective, the primary purpose of this study was to investigate relationship between influencing factors of the Selection Attributes of Cruise Tour. This research aims to provide information to establish customer-oriented marketing strategies in developing by cruise tour. The current study examined related literature finding out the number of the factors to meet future users preference and expectations. Based on examined factors, the study investigated the same dimensions in Korea future cruise industry. The data collected outgoing tourists of travel service company. The Survey instrument consisted of asking respondents a number of questions regarding their intention, preferences, and expectations toward future cruise travel. The result of study showed that a certain number of factors were statistically significant on the future users cruise travel intention. It shows that there was significant difference related to the using purpose and the usage attitude. It can be conducted from the results that respondents expected a certain number of factors when the cruise travel launched in korea.

• Journal of Wetlands Research
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• v.17 no.2
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• pp.176-183
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• 2015

This study is aimed at deducting the evaluation standard of the walking tour trail and evaluating the real condition of trail facilities and operation & management. On the basis of the research on the walking tour, this study deducted the evaluation index of the trail facilities and administrative control, and divided it into visit resources, visit facilities and trail operation-management. This study selected the course of high use satisfaction among the Ganghwa Nadeul-gil section, and evaluated the real condition of Ganghwa Nadeul-gil trail by classifying the route as nature-oriented trail and culture-oriented trail. In case of nature-oriented trail, it's necessary to discover living culture resources of the village linked with the trail, and to develop amenities using bus stations and supermarket. In case of culture-oriented trail, it's required that economic regeneration plan should be arranged using the declining facilities.

• Journal of Korean Society of Transportation
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• v.24 no.6 s.92
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• pp.103-117
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• 2006

This study develops an agent-based simulation model to evaluate tourist information systems under ubiquitous environment. In this study, individual tourist's activity chaining behavior is formulated as a utility maximization problem. The underlying assumption of the model is that tourists increase their activities within their time and budget constraints to maximize their utilities. The model seeks individual's optimal tour schedule by solving Prize-Collecting Multiple-Day Traveling Salesman Problem(PC MD TSP). The simulation-based evaluation framework allows investigating individual utility gains by their information type and the total expenditure at each tour attractions. The real-time tour activity scheduling system enables tourists to optimize their tour activities by minimizing their time loss and maximizing their opportunity to use high utility facilities.