The purpose of this study is to analyze the correlation between spatial space structure and visitors' behavior and interpret visitors' behavior concretely from the aspect of exhibition environments. So, this study intends to qualify spatial space structure with integration, connectivity and control value by utilizing space syntax, limit to tracking score among the analysis index and reinterpret with exhibition density and extend of eyesight among the exhibition environments. The results of this study are as follows; First, in case of museums, tracking score shows plus correlation with connectivity and control value among the space syntax variables and very low correlation with integration. In case of art museums, tracking score shows plus correlation with integration and wide variable is judged to more useful to analyze visitor's behavior than minor variable. Second, museums doesn't make a great effect on visitors' behavior from the aspect of extent of eyesight, but from the aspect of exhibition density, visitors relatively watched evenly without short cut at the early stage of exhibition in spite of high exhibition density. And, they conducted short cut as they went to the middle stage of exhibition on the course of watching although the numerical value of exhibition density is low. Third, in case of art museums, visitors' behavior was relatively influenced by exhibition density, not extent of eyesight. But, as they went to the high level on the course of watching, watching speed became rapid and watching length became short in the place the value of extent of eyesight was high. Its reason is judged to be easy to grasp position or space structure of the next exhibition room visually. Therefore, when the concentration of watching is necessary from the aspect of exhibition, to control exhibition density properly before the space is useful to draw visiting to exhibition space afterward.
The purpose of this study was to classify types of family visitors' behaviors more concretely, which could be useful in planning of exhibition spaces in a science museum, with given priority to their behaviors according to interaction between them, and to understand characteristics of the behaviors. With this view, the scope of this study was restricted to subjects, who were family visitors of Gwacheon National Science Museum, consisting of parents and their one elementary school child per family unit. For understanding their behaviors, itinerary tracking and observation method of behavior were conducted. Moreover, for understanding substantial types and characteristics of family visitors' behaviors, multivariate analysis was applied. Accordingly, the results of the study are as follows. First, as a result of factor analysis, two main factors were derived. In other words, they were 'Durability of viewing' as the first and 'Interactivity between family members' as the second, which were shown valid in classification of the types of their behaviors. Second, according to the factors derived, the types of their behaviors were classified into in-depth cooperative viewing, selective independent viewing, interest concentration child-led viewing and consideration parent-led viewing. They were shown valid in topological localization and classification, as a result of analysis of the main factors. Third, in view of common characteristics of the types, it is judged that active orientation prior to regular viewing could encourage visitors coming to the museum for the first time to feel more friendly to unfamiliar exhibition environments, during the initial seek time, and to reduce visual supersaturation. Fourth, it is judged that distributed arrangement of exhibits, which result in continuous standby, could avoid confused visitor circulation by the estimated time required for viewing.
This paper proposes a method to estimate the level of interest shown by visitors towards a specific target, a guide robot, in spaces where a large number of visitors, such as exhibition halls and museums, can show interest in a specific subject. To accomplish this, we apply deep learning-based behavior recognition and object tracking techniques for multiple visitors, and based on this, we derive the behavior analysis and interest level of visitors. To implement this research, a personalized dataset tailored to the characteristics of exhibition hall and museum environments was created, and a deep learning model was constructed based on this. Four scenarios that visitors can exhibit were classified, and through this, prediction and experimental values were obtained, thus completing the validation for the interest estimation method proposed in this paper.
Visitors to Naejangsan National Park were surveyed from October 31 to November 3 in 1995, 151 visitors were participated. Of those individuals, 55% were males. 48% of respondests reported that they had gone beyond high school, and over one-half(52%) had gone as far as college. 61.3% were 20 years of age. The largest percentage of respondents were reported that they visited Naejangsan Nat'l Park to see the scarlet maple leaces there. Most respondents who witness other visitors' littering were not likely to intervene to stop their visitors' depreciative behavior(Bystander intervention Begavior). Most of visitors got information for use Naejangsan Nat'l Park from a guide sign(31.8%) or guide themselves(29.1%). They didn't know the Clean-up Time Movement Program. But they understood it after notice hanging placards(81.6%). Most of visitors responded that didn't hear the mass communication program in National. But they recognized necessity of the mass communication program in National Park. The results showed that most visitors believed that Clean-up Time Movement was in succession consequently it turned out to be effective in managing visitors' littering behavior. And it seemed to effective in managing depreciative behavior through the mass communication program in National Park.
Visitors to Chuwangsan National Park were survayed from August 3 to 5 n 1994. During this time, 346 visitors were contacted. Of those individuals, 65% were males. 63% of respondents reported that they had gone as far as college. 48% were 20 years of age. 97% of the survey respondents had experience to visit other national parks. The largest percentage of respondents were reported that they visited Chuwangsan Nat'1 Park for enjoying natural landscape. In group type, 50% were traveling with their family and 36% with their friends. In activity characteristics, 51% were day-time visitors, and 18% mentioned carrying in their on food. Generally most respondents were very interested in the environmental problem in national parks. The majority of visitors perceived that the environment of Chuwangsan Nat'1 Park were good enough. In six types of normative violations, the major reasons of littering were unintentional violation and releaser-cue violation. Most respondents were not likely to intervene to stop other visitors' depreciative behavior (Bystander intervention behavior). In two dilemmas, the more likely the intention to obey a regulation the less likely the intention to disobey a regulation, and vice-versa.
This study aimed to provide basic data for the national park management by analysing visitors' behavior and satisfaction determinants by importance-performance analysis and estimated regression analysis through post-occupancy evaluation questionnaire method to the Gyeongju National Park visitors. It was found that facilities and use management according to place and use group, the diversity of visit program, high quality of guidance and hospitality of staffs and conservation of historic and landscape resources for Gyeongju National Park were necessary as the results of behavior analysis, importance-performance analysis. The historic landscape resources, hospitality of staffs, visit road and safety facilities, commercial facilities were important determinants of users' satisfaction as the results of regression analysis. It suggested the characteristics of Gyeongju National Park and these factors were the most important factors for the improved management.
We present an in-depth analysis on the factors that influence viewing satisfaction and behavior of visitors in the exhibition. The proposed method consists of two steps including, i) classification of factors into demographic and social, psychological, cultural through surveys and ii) analysis the impact of viewing satisfaction and behavior on the characteristics of visitors. The proposed method can find the characteristics of each factor from the general audience, and can be used in planning and the exhibition in the form of an organized database in the future.
An exhibition is defined as market events for specific duration to present exhibitors' main products to business or private visitors, and it plays a key role as effective marketing channels. As the importance of exhibition is getting more and more, domestic exhibition industry has achieved such a great quantitative growth. But, In contrast to the quantitative growth of domestic exhibition industry, the qualitative growth of Exhibition has not achieved competent growth. In order to improve the quality of exhibition, we need to understand the preference or behavior characteristics of visitors and to increase the level of visitors' attention and satisfaction through the understanding of visitors. So, in this paper, we used the observation survey method which is a kind of field research to understand visitors and collect the real data for the analysis of behavior pattern. And this research proposed the following methodology framework consisting of three steps. First step is to select a suitable exhibition to apply for our method. Second step is to implement the observation survey method. And we collect the real data for further analysis. In this paper, we conducted the observation survey method to obtain the real data of the KIDS & EDU EXPO for Children in SETEC. Our methodology was conducted on 160 visitors and 78 booths from November 4th to 6th in 2010. And, the last step is to analyze the record data through observation. In this step, we analyze the feature of exhibition using Demographic Characteristics collected by observation survey method at first. And then we analyze the individual booth features by the records of visited booth. Through the analysis of individual booth features, we can figure out what kind of events attract the attention of visitors and what kind of marketing activities affect the behavior pattern of visitors. But, since previous research considered only individual features influenced by exhibition, the research about the correlation among features is not performed much. So, in this research, additional analysis is carried out to supplement the existing research with data mining techniques. And we analyze the relation among booths using data mining techniques to know behavior patterns of visitors. Among data mining techniques, we make use of two data mining techniques, such as clustering analysis and ARM(Association Rule Mining) analysis. In clustering analysis, we use K-means algorithm to figure out the correlation among booths. Through data mining techniques, we figure out that there are two important features to affect visitors' behavior patterns in exhibition. One is the geographical features of booths. The other is the exhibit contents of booths. Those features are considered when the organizer of exhibition plans next exhibition. Therefore, the results of our analysis are expected to provide guideline to understanding visitors and some valuable insights for the exhibition from the earlier phases of exhibition planning. Also, this research would be a good way to increase the quality of visitor satisfaction. Visitors' movement paths, booth location, and distances between each booth are considered to plan next exhibition in advance. This research was conducted at the KIDS & EDU EXPO for Children in SETEC(Seoul Trade Exhibition & Convention), but it has some constraints to be applied directly to other exhibitions. Also, the results were derived from a limited number of data samples. In order to obtain more accurate and reliable results, it is necessary to conduct more experiments based on larger data samples and exhibitions on a variety of genres.
Journal of the Korean Institute of Landscape Architecture
/
v.30
no.6
/
pp.57-65
/
2003
This study researches attributes , behaviors , satisfaction factors and degrees of curiosity of visitors to recreational forests in the suburbs of a large city. It aims to present suggestions for urban forest development and management policy by offering basic data which help to plan, design and manage recreational forests to increase the quality of these environments. The results are as follows First, in attribute, the visiting rate of males is higher than that of females, and the main users are in their thirties and forties. Sixty percent of visitors graduated from university and their rate of employment is evenly distributed. 95 percent of visitors are residents of the metropolitan area. In terms of behavior, major visitors are family units visiting during summer seasons and for overnight stays. 75% are re-visitors. 85% of visitors came to escape the city with families and friends, keep in good health and experience nature. Second, to extract the factors affecting visitor satisfaction in recreational forests, the natural environment, facilities, and management/use systems were identified as independent variables, while subordinate satisfactions were dependent variables. so regression analysis was used. Thus, the variables affecting the natural environment are quality of water, stream use, biodiversity, fresh air and landscape factors. The variables affecting facilities are puking, convenience, play facilities, sanitary arrangement and camping. Most important among the variables affecting management/use systems are educational facilities and access condition. On the basis of generalizing the study in the existing individual site, we must verify the visiting characteristics in recreational forests in the suburbs of a large city. Since development of recreational forests is understood as a sequence considering a site and a given condition, and since management and improvement must unfold according to these characteristics, a strategy is needed to reveal visitors' opinions about the site. Depending on the facilities and service, satisfaction of recreational forests is generally influenced by social and economic qualities. Also, this study can look into the effect according to use pattern motive and season. As suburban recreational forests have many overnight-users and younger men, programs suitable for these groups are needed. On the basis of variables affecting satisfaction according to natural environment, facilities, and use system, policies which can manage the natural environment and introduce educational programs are needed.
The purpose of this study was to observe a case study of pop-up stores in an apparel company in Korea in order to evaluate different feel and to determine the purchase behavior of pop-up visitors of three major fashion brands. This research was conducted through secondary data collection and primary data collection. A survey was conducted among NIKE, KUHO, and PUMA pop-up store visitors who were 20 to 40 years old, via questionnaires. Data were collected on-line and off line at the pop-up store. Data were analyzed using SPSS program. Through data analysis, we learned that most of the study participants were captivated by the digital elements in the environment of the NIKE pop-up store. Puma, the second most favorably ranked, was favored for its interior design. Meanwhile, KUHO stimulated its customers with its limited edition fashion products at a good price. Several feels of visitors about the pop-up stores were significantly different among the 3 different brands. There was a significant difference in purchase criteria, such as brand recognition, size, and design among visitors of the three different brands. Visitors who preferred KUHO considered design of products more than NIKE-preferred visitors. In conclusion, the clothing pop-up stores have the possibility of satisfying consumers' desires. Each brand can achieve a good performance in promotion with a differentiated strategy.
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