• Korean Journal of Cognitive Science
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• v.18 no.2
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• pp.193-221
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• 2007

This study explored the efficient hierarchical data structure of mobile interfaces. The first experiment demonstrated the effects of grouping(clear/unclear), depth level(2/3/5), and the number of items(32/64/128) on the search time and the number of errors. The results indicated that participants spent less time and made fewer errors to perform the task when the clear mobile interfaces, low depth level, and fewer items were provided. In addition, the results indicated that there were no effects of the depth level and the number of items on the search time and number of errors in clear mobile interfaces conditions. As depth level and the number of items changed, on the other hand, participants spent longer time to complete the task and made more mistakes in unclear mobile interfaces conditions. The second experiment investigated the effects of grouping(clear/unclear), the number of items(32/64/128), and spacial cues(colors/ windows/ number of cues) on search time and the number of errors in hierarchical data structures which had five depth levels. The results indicated that participants spent less time to complete the task and made less errors in a mobile interface when grouping is clear and the number of items are fewer. The results were identical with the first experiments. In addition, the main effect of spacial cues indicated that providing spacial cues via pictures and numbers can be helpful to reduce errors in search behaviors.

• Culinary science and hospitality research
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• v.21 no.1
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• pp.42-57
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• 2015

When a customer chooses a coffee shop, different factors can influence his/her purchase. These factors can include tangible as well as intangible elements such as the coffee shop's atmosphere, layout, and interior. Thus, many coffee brands strive to serve not only a diverse menu, but also a unique quality of environment. This study aimed to investigate the influence of physical environment on customer satisfaction and loyalty in the coffee shop and evaluate the influential power of the physical environment factors using hierarchical regression analysis. Data was collected from customers of coffee shops in Texas, the U.S. The study found that the coffee shops' physical environment influenced the customer's satisfaction and loyalty. Particularly, the coffee shop's physical environment including ambient and interior design greatly influenced the customers' satisfaction. However, a broad range of physical environment factors such as temperature, aroma, lighting, color, and interior furnishings should be provided to increase the customer loyalty. The results may have a broader application to provide effective managerial and marketing information to Korean coffee entrepreneur brand in the U.S. and beyond.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.411-418
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• 2021

In this study, information search methods and user interface types provided to users were investigated for the top 100 e-commerce services selected by Statista and the National Retail Federation. And the characteristics of each type were derived by analyzing the interaction method of the user's manipulation with the visualization elements constituting the interface. The research results are as follows. First, as the information provision method, spread format was more often used as the number and hierarchy of information increased, and drop-down and mega menu methods were used more often as the number and hierarchy of information decreased. Second, as a visual classification method according to the information hierarchy, the background color, font change, and line were often used, and there were many cases where the background color and line were used at the same time. Third, there were various elements such as background color, text color, and line as an interaction method for user manipulation, and two or more of them were applied at the same time the most. This study is meaningful in that it defines the characteristics of each type through the analysis of the types of interfaces for e-commerce information search and items that can be the selection criteria for detailed elements.