• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.30-35
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• 2008

The purpose of this study is to analyze and define user's emotional satisfaction factors to the PC OS GUI image. The study is to investigate the relationship between PC OS GUI Image and Sensitive Vocabula교 based on user's emotional preference. 47 user preferred sensitive words are collected by the initial survey. Through the similarity test, 47 words are narrowed down to 20 comprehend words. The semantic differential methods is used in the final survey with 5 step questionnaire. From this process, user preferred the GUI design that is vocabularized as Clear, Easy, Safety, Stability. Additionally, the result shows that the image of Clear is related to Safety and the image of Easy is related to Stability. The result of the study could be used in design PC OS GUI as base data.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.397-412
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• 2023

In order for social robots to take root in human life, it is important to consider the technical implementation of social robots and human psychology toward social robots. This study aimed to derive potential social robot clusters based on the emotions consumers feel about social robot appearance design, and to identify and compare important design characteristics and emotional differences of each cluster. In our study, we established a social robot emotion framework to measure and evaluate the emotions consumers feel about social robots, and evaluated the emotions of social robot designs based on the semantic differential method, an kansei engineering approach. We classified 30 social robots into 4 clusters by conducting a multidimensional scaling method and K-means cluster analysis based on the emotion evaluation results, confirmed the characteristics of design elements for each cluster, and conducted a comparative analysis on consumer emotions. We proposed a strategic direction for successful social robot design and development from a human-centered perspective based on the design characteristics and emotional differences derived for each cluster.

• Journal of Korean Ophthalmic Optics Society
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• v.16 no.3
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• pp.219-228
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• 2011

Purpose: The aim of this study was to analyze objectively customers' connotative meanings dependent on show window display types in optical shops. Methods: This survey was conducted on optometry students in Seoul in their 20's. We collected examples of the show window displays in Korean optical shops and deduced their representative types. After drawing out connotative meanings by the semantic differential method, we determined the connotative meanings correspondent to each show window display types by using a questionnaire and statisticl analyses. Results: Respondents chose 'clean and simple', 'luxury and simple', and 'folksy and practical' as connotative meanings of open-type, small amount-type, mass amount-type and commercial-type show window displays, respectively. Conclusions: Analyzing induced connotative meanings and correspondents' preference, we think that the small amount-type show window is the most appropriate display for college students consumer group.

• 대한공업교육학회지
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• v.35 no.2
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• pp.25-42
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• 2010

This research aims to understand how students of technical high schools view 'engineering' as well as to identify the main elements that contribute to the perception on 'engineering.' The research targets are 695 senior students of technical high schools nationwide. The researcher developed the measuring tool for the experiment by referencing the adjective value criteria utilized in the semantic difference method developed by Osgood (1957). There were a grand total of 30 criteria following the preliminary studies. The results of the research are as follows. Firstly, the average value of the overall perception of technical high school students on 'engineering' is 4.27 points. This value just exceeds the standard (4 points). Secondly, when examining the general tendency it can be noticed that there is a sense of stigma that although 'engineering' is significant and valuable it is a field that is overly difficult, complex and even dangerous. Thirdly, 6 main elements that influence the perception on 'engineering' were extracted as results of the factor analysis. The first element is practicality; the second element is emotions; the third element is aesthetics; the fourth is simplicity; the fifth is responsibility; and finally the sixth element is assertiveness. Fourthly, when comparing the average values of the perception on 'engineering' by region, it was seen that there existed a difference on the perception towards 'engineering' based on differing regions.

• Science of Emotion and Sensibility
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• v.23 no.2
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• pp.75-88
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• 2020

Given the development of information technology, various methods for efficient information delivery have been constructed as the method of delivering product information moves from offline and 2D to online and 3D. These attempts not only are about delivering product information in an online space where no real product exists but also play a crucial role in diversifying and revitalizing online shopping by providing virtual experiences to consumers. 360 product image is a photorealistic VR that allows a subject to be rotated and photographed to view objects in three dimensions. 360 product image has also attracted considerable attention considering that it can deliver richer information about an object compared with the existing still image photography. 360 product image is influenced by divergent production factors, and accordingly, a difference emerges in the responses of users. However, as the history of technology is short, related research is also insufficient. Therefore, this study aimed to grasp the responses of users, which vary depending on the type of products and the number of source images in the 360 product image process. To this end, a representative product among the product groups that can be frequently found in online shopping malls was selected to produce a 360 product image and experiment with 75 users. The emotional responses to the 360 product image were analyzed through an experimental questionnaire to which the semantic classification method was applied. The results of this study could be used as basic data to understand and grasp the sensitivity of consumers to 360 product image.