• Journal of The Korean Association of Information Education
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• v.24 no.6
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• pp.573-584
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• 2020

This study is about the development of AI algorithm education program using cognition modeling to positively improve students' image on AI. First, we analyzed the concept of user-based collaborative filtering and developed the education program using the cognition modeling method. We checked the adequacy of program through the expert validity test. Both CVR values for the content development method of cognitive modeling and the developed program showed validity above .80. We applied the developed program to elementary school students in class. The test was conducted using a semantic discrimination to examine changes in students' perception of artificial intelligence before and after. We were able to confirm that the students' AI images were significant positive change in 12 of the 23 words in the adjective pair.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.57-62
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• 2022

This study was conducted with the purpose of listening to the explanations of artworks in the non-face-to-face class and confirming the learner's feelings as a result of the class. The proposed system listens to the explanation of the artwork, inputs the learner's emotions with a dedicated key, and expresses the result in music. To this end, the direction of the non-face-to-face art appreciation class model using the emotion key was set, and based on this, a system for non-face-to-face art appreciation was constructed. The learner will use the 'smart device using the emotion key' proposed in this study to listen to the explanation of the artwork and to input the emotion for the question presented. Through the proposed system, learners can express their emotional state in online art classes, and instructors receive the results of class participation and use them in various ways for educational analysis.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.2D
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• pp.265-273
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• 2006

On the occasion of high price oil generation, we have to promote activation policy for public transportation and hold back to use passenger car, it is very important to improve of sidewalk environment for pedestrian. Evaluation for sidewalk environment will be fixed with sensibility to feel pedestrian. So, study for sensibility about comfort etc. to feel pedestrian will be carried out. In this paper, researchers interests in engineering methods to make material considering sensibility and image of human. Therefore, we carried out recognition experiment for sidewalk environment with Kansei engineering, and made a quantitativedata of sensibility adjective that it was surveyed by semantic deferential method. After grasp factors by principal analysis, we found factor effect to design criterion and sidewalk environment preference. So, we could identify a design factor for comfort environment.

• Asia Marketing Journal
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• v.11 no.2
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• pp.73-96
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• 2009

In this paper, authors focused on the difference between successful and unsuccessful items in terms of the innovation and imitation parameters of Bass diffusion model. Each item was scraped by members directly from the minihompies they visit. Top 50 items in terms of total number of adoption are classified as successful items and the 50 items whose total number of adoption was just below the average are classified as unsuccessful items. In particular, authors are interested in investigating the role of influentials in the diffusion process. Influentials are defined as those people whose network centrality (Indegree, Outdegree, and Betweeness centrality) was larger than the mean centrality in their social network. Figure 1 shows the plots of number of scraping, cumulative scraping, indegree, outdegree and betweenness of the people who scraped the most popular item among 100 items.

• Journal of Science Education
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• v.48 no.1
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• pp.63-73
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• 2024

Knowing the learner's image of a subject-related occupation is good data for determining the direction of a teacher's teaching and learning. Existing drawing image analysis tools have the limitation that it takes a long time to analyze images and drawings of a scientist's appearance. The semantic differential method is a widely used method to analyze images of specific objects. However, research using the semantic differential method has the limitation of failing to reflect terms or factors that change over time by using the adjective pairs used in the initial study as they were in accordance with the research content. In this study, we use the semantic differential method to develop a tool to measure middle school students' scientist image and apply it to middle school students to discuss educational implications regarding the usefulness of measuring scientist image.

• Journal of the Korean Institute of Landscape Architecture
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• v.43 no.4
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• pp.15-26
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• 2015

The Daegu Metropolitan Transit Corporation Advisory Committee has chosen 5 styles of bridge-pier designs, including coating, graphic, planting, billboard and safety-facility style, based on the results of landscape simulations from a previous study. This study was conducted to investigate citizen's preferences and emotional images for each style of bridge-pier design, by aiming at the pilot urban landscape improvement section from Daebong Bridge in Suseong Gu to the crossroads near Dongseong Elementary School in Daegu Metropolitan City. The questionnaire was drawn up regarding the urban landscape improvement plans applied to the research area, and the questions were about citizens' perception of bridge-pier structures generated by constructing a light rail transit, important factors to consider when designing bridge piers, preferences for each style of bridge-pier design and emotional impact. 60.4% of the survey participants were found to perceive bridge-pier structures as unattractive, so it was necessary to improve them aesthetically. Regarding visual factors of bridge-pier designs, color was most important at 5.81, followed by form at 5.57. Regarding aesthetic component factors, harmony was most important at 6.07, followed by amenity at 6.00. In the survey participants' preference for each bridge-pier design, the graphic style was preferred most at 4.14, followed by the planting style. In emotional adjectives used for each bridge-pier design, the coating style, the safety-facility style and the non-treatment style showed similar results, and all of these styles were evaluated as artificial, lifeless and desolate. The graphic style and the billboard style showed different tendencies, depending on visual factors and aesthetic component factors applied to the graphic design used for these two bridge-pier styles. Since natural materials were used for the planting style, however, it showed high preference for such emotional images as natural and lively. The emotional adjective 'amiable' was found to affect citizens' preferences for each bridge-pier aesthetic improvement plan most, and it was also analyzed to have an effect on all the styles of bridge-pier designs. To improve the landscape of a light rail transit being constructed inside the urban area, this study quantitatively extracted citizens' preferences and emotional adjective for every style of bridge-pier design applied to the pilot urban landscape improvement section, and it is expected that the results of this study will be used as basic data to improve the landscape of bridge piers.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.4
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• pp.317-324
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• 2013

Twitter sentiment analysis is to classify a tweet (message) into positive and negative sentiment class. This study deals with SentiWordNet(SWN)-based twitter sentiment analysis. SWN is a sentiment dictionary in which each sense of an English word has a positive and negative sentimental strength. There has been a variety of SWN-based sentiment feature extraction methods which typically first determine the sentiment orientation (SO) of a term in a document and then decide SO of the document from such terms' SO values. For example, for SO of a term, some calculated the maximum or average of sentiment scores of its senses, and others computed the average of the difference of positive and negative sentiment scores. For SO of a document, many researchers employ the maximum or average of terms' SO values. In addition, the above procedure may be applied to the whole set (adjective, adverb, noun, and verb) of parts-of-speech or its subset. This work provides a comparative study on SWN-based sentiment feature extraction schemes with performance evaluation on a well-known twitter dataset.

• Korea Science and Art Forum
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• v.24
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• pp.321-332
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• 2016

As functions of public library has become diversified, proper environment color plan enhancing a supporting environment of user based on a function of public library should be achieved by utilizing space chromatics which is a psychological environmental factor. Therefore, public library's color environment of each space functions should be understood and the foundation of color plan enhancing supporting environment of user should also be established under the premise that public library color environment which supports integrated functions to every local residents by meeting functional roles of library. As functions of public library expands, this study has its purpose to analyze color environment characteristics by mainly focusing on library of Busan region to study color environment supporting function of each space. Through a literature research, function and role of color, environment color have considered, and through a preceding research analysis on public library's present condition analysis and tendency of library color preference, theoretical background on library color environment has deducted. By researching present condition of environment color application at 9 public libraries located at Busan, the environment color characteristics of library has deducted through an image adjective analysis using color system, coloration analysis, IRI(Image Research Institute) color image scale. This study can be provided as a reference data for environment color plan based on spatial function to enhance supporting environment of public library user, and it is expected to utilize in the library facility plan which has been diversified.

• International Journal of Highway Engineering
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• v.12 no.2
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• pp.51-61
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• 2010

According as the quality of life is improved along with economic growth, in the road plan and design sector also, it is now progressed that function oriented design is changed into the landscape oriented design that considers eyesight and emotion, which are psychological properties of users. Accordingly this study tries to come up with reasonable and objective methods to extract various emotional adjectives, which were found by the survey, while minimizing difference among characteristics of emotion and cognition of individuals. First, given semantic differential, based on various emotional adjectives that were found through the survey with the scale up to five points, the author extracted representative emotional adjectives through an element analysis, which is a conventional method of the previous research, and through an identification analysis which is suggested by this study, and then established model I of Quantification. And by using the established quantification model, the author presumed satisfaction degree, and through verifying pair wise comparison with actual satisfaction degree, the author found the results from identification and correlation analysis methods are most similar to actual satisfaction degree. As a result, the author could check the above emotional and correlation analyses were appropriate methods for comprehending which emotional elements are applicable when a continuous road landscape is designed by identification and correlation analyses.

• Journal of the Korea Society of Computer and Information
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• v.20 no.1
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• pp.75-83
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• 2015

As the importance of realistic game character in order to cause the interest of player is increased, it is necessary to develop the character that acts like a man by applying the human characteristics in the step of game character design. Formerly, there is a limit to create the human-like character because there is no set the character's personality in the game developing level. In this paper, therefore, we propose the correlation between Five Factor Model and Ego-state for game character. Five Factor Model and Ego-state are theories about person's characteristic. Five Factor Model is personality description method. Ego-state has an emphasis on internal mental processes directly from observable behaviors. In this regard, these theories could be used to the character defined its personality and designed to act by personality. To do this, it needs to determine the relations between Five Factor Model and Ego-state. Therefore we seek for the relations between two theories using Adjective Check List(ACL) and analysis their results with surveys. In the future, it is expected to construct a personality model using these analysis results, and develop the character based on realistic behavior.