• Korean Journal of Cognitive Science
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• v.30 no.2
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• pp.85-104
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• 2019

Past research showed that presence of others induces morally desirable behavior and stricter judgments. That is, presence of others makes people become a moral being. On the other hand, little research has been conducted to test what effects facial expression of others have on moral judgments. In this research, we tested the effects of emotion exposed by facial expression on moral judgments. To this end, we presented descriptions of immoral or prosocial behavior along with facial expression of various emotions (in particular, disgust and happiness), and asked participants to make moral judgments on the behavior in the descriptions. In Experiment 1, facial expression did not affect moral judgments, but variability of judgments was increased when descriptions and facial expression were incongruent. In experiment 2, we modified potential reasons of the null effect and conducted the experiment using the same procedure. Subjects in Experiment 2 made stricter judgments with disgust faces than with happy faces for immoral behavior, but the effect did not occur for prosocial behavior. In Experiment 3, we repeated the same experiment after having subjects to consider themselves as the actor in the descriptions. The results replicated the effects of facial expression in Experiment 2 but there was no effect of the actor on moral judgments. This research showed that facial expression of others specifically affects moral judgments on immoral behavior but not on prosocial behavior. In general discussion, we provided further discussion on the results and the limitations of this research.

• Journal of Life Science
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• v.28 no.11
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• pp.1262-1267
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• 2018

The patchiness of local environments within a habitat is assumed to be a primary factor affecting the spatial patterns of plants. In this study, a randomization procedure was developed to test the null hypothesis that only spatial association with patches determines the spatial patterns of plants. Oplismenus undulatifolius (Ard.) P. Beauv. var. undulatifolius is an herbaceous plant and a member of the genus Oplismenus in the family Poaceae. Oplismenus hirtellus subsp. undulatifolius occurs in temperate, subtropical, and tropical areas of the world. The spatial pattern of O. undulatifolius var. undulatifolius was analyzed using dispersion indices in different sizes of plots according to several patchiness indexes, population uniformity, or aggregation. Population densities (D) at Mt. Hanwoo varied from 0.453 to 4.375, with a mean of 2.387. The small and mid-sized plots ($2m{\times}2m$, $2m{\times}4m$, $4m{\times}4m$, $4m{\times}8m$, and $8m{\times}8m$) of O. undulatifolius var. undulatifolius were aggregated in the forest community. However, O. undulatifolius var. undulatifolius was uniformly distributed in three large plots ($8m{\times}16m$, $16m{\times}16m$, and $16m{\times}32m$). The greatest mean crowding ($M^*$) and patchiness index (PAI) showed positive values. Aggregation is mainly caused by environmental factors. Many plants on Mt. Hanwoo are being disturbed by climbers, which is preventing these plants from inhabiting their realized niches on Mt. Hanwoo.

• Korean Journal of Forensic Psychology
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• v.11 no.1
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• pp.37-61
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• 2020

Lee, Khogali, Despodova, and Penrod (2019) demonstrated that American participants whose races are different from a defendant and a victim rendered more punitive judgments against the defendant in a same-race crime (e.g., White observer-Black defendant-Black victim) compared to a cross-race crime (e.g., White observer-Black defendant-Hispanic victim). The aim of the current study was to test the replicability of their findings in a different country-South Korea. Study 1a failed to replicate the race-combination effect in South Korea with three new moderators-case strength, defendant's use of violence, and race salience. Study 1b was conducted with the same design of Study 1a in the United States to examine whether the failure of the replication in Study 1a was due to cultural differences between South Korea and the United States. However, Study 1b also failed to replicate the race-combination effect. Study 2 conducted a meta-analytic review of the data from Lee et al.'s (2019) study, along with the data from Study 1a and 1b and revealed that the race-salience manipulation in Study 1a and 1b might have caused the null results. We conclude that when people' races are different from both a defendant and a victim, they are likely to render more punitive judgments against the defendant in a same-race crime than a cross-race crime. However, the race-combination effect is only sustained when race-relevant issues are not salient in the crime.

• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.39-54
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• 2013

Recent explosive increase of electronic commerce provides many advantageous purchase opportunities to customers. In this situation, customers who do not have enough knowledge about their purchases, may accept product recommendations. Product recommender systems automatically reflect user's preference and provide recommendation list to the users. Thus, product recommender system in online shopping store has been known as one of the most popular tools for one-to-one marketing. However, recommender systems which do not properly reflect user's preference cause user's disappointment and waste of time. In this study, we propose a novel recommender system which uses data mining and multi-model ensemble techniques to enhance the recommendation performance through reflecting the precise user's preference. The research data is collected from the real-world online shopping store, which deals products from famous art galleries and museums in Korea. The data initially contain 5759 transaction data, but finally remain 3167 transaction data after deletion of null data. In this study, we transform the categorical variables into dummy variables and exclude outlier data. The proposed model consists of two steps. The first step predicts customers who have high likelihood to purchase products in the online shopping store. In this step, we first use logistic regression, decision trees, and artificial neural networks to predict customers who have high likelihood to purchase products in each product group. We perform above data mining techniques using SAS E-Miner software. In this study, we partition datasets into two sets as modeling and validation sets for the logistic regression and decision trees. We also partition datasets into three sets as training, test, and validation sets for the artificial neural network model. The validation dataset is equal for the all experiments. Then we composite the results of each predictor using the multi-model ensemble techniques such as bagging and bumping. Bagging is the abbreviation of "Bootstrap Aggregation" and it composite outputs from several machine learning techniques for raising the performance and stability of prediction or classification. This technique is special form of the averaging method. Bumping is the abbreviation of "Bootstrap Umbrella of Model Parameter," and it only considers the model which has the lowest error value. The results show that bumping outperforms bagging and the other predictors except for "Poster" product group. For the "Poster" product group, artificial neural network model performs better than the other models. In the second step, we use the market basket analysis to extract association rules for co-purchased products. We can extract thirty one association rules according to values of Lift, Support, and Confidence measure. We set the minimum transaction frequency to support associations as 5%, maximum number of items in an association as 4, and minimum confidence for rule generation as 10%. This study also excludes the extracted association rules below 1 of lift value. We finally get fifteen association rules by excluding duplicate rules. Among the fifteen association rules, eleven rules contain association between products in "Office Supplies" product group, one rules include the association between "Office Supplies" and "Fashion" product groups, and other three rules contain association between "Office Supplies" and "Home Decoration" product groups. Finally, the proposed product recommender systems provides list of recommendations to the proper customers. We test the usability of the proposed system by using prototype and real-world transaction and profile data. For this end, we construct the prototype system by using the ASP, Java Script and Microsoft Access. In addition, we survey about user satisfaction for the recommended product list from the proposed system and the randomly selected product lists. The participants for the survey are 173 persons who use MSN Messenger, Daum Caf$\acute{e}$, and P2P services. We evaluate the user satisfaction using five-scale Likert measure. This study also performs "Paired Sample T-test" for the results of the survey. The results show that the proposed model outperforms the random selection model with 1% statistical significance level. It means that the users satisfied the recommended product list significantly. The results also show that the proposed system may be useful in real-world online shopping store.

• Korean journal of food and cookery science
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• v.8 no.4
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• pp.387-396
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• 1992

This study was conducted to examine the favorable taste of food color for one month of November 1991 With 200 college students consisting 100 male and 100 female students. The color to examine the favorable food was based on Munsell color standard of ten colors such as F. Birren seven colors (red, orange, yellow, yellowish green, green, blue and violet), brown, pink and black. And then, the data of this study was analysed by using frequency(%), mean values, standard deviation, t-test, Chi-square, Spearman correction with SAS Package on the basis of 100% collection and reliable coefficient alpha= .775. The result of this study is summarized as follows. 1. It was shown that the male college students (59%) showed remarkable interest in the food color higher than that of female college students (92%), and that 85% of male students and 97% of female students considered that the food color has an effect on appetite. In addition, the food name having an effect of the food color on appetite appeared in such order as carrot (13.0%), apple (10.9%), spinach (7.0%), cucumber (6.0%) and red pepper (5.6%). The important factor in choosing the favorable food was the taste for both male and female college students, while the male and female students considered the food color as the 4th, respectively, and the 3rd important factor in choosing the favorable food. 2. The favorable food color appeared in order such as orange, red, yellow, yellowish green, green, blue, violet, pink, black and brown colors for the male college students, and in order such as red, orange, yellow, green, yellowish green, brown, violet, black, pink and blue. Also, there was difference between the male and female college students in such colors as brown, yellowish green, blue and pink. It was also shown that there was no relation between the male and female college students in examining the order of favorable food colors and general colors when selecting null hypothesis (ASE: .405). The food name associated with the color was apple for red color, orange for orange color, coffee for brown color, banana for yellow color, lettuce for yellowish green color, spinach for green color, mackerel for blue color, eggplant for violet color, sausage for pink color and bean for black color 3. The favorable color combination of both male and female college students showed red with green, orange with yellow, yellow with green, green with yellow, pink with violet and black with black. In addition, the favorable combination of the male college students indicated brown with black, yellowish green with orange, blue with red and violet with yellow while the female college students did brown with yellow, yellowish green with green, blue with yellow and violet with pink. The favorable combination color showing difference between the male and female college students included orange, brown, violet, pink and black colors. 4. The relation between the food color and terms of favorable taste showed that “light and mild color” is yellow, that “untasty color” is black, that “sourish and puckery color” is orange, that “bitter color” is violet, that “hot color” is red, and that “fresh color” is green which were answered by both male and female college students. However, the male and female college students considered yellow, respectively, and orange as “tasty color”, and black and yellow, respectively, as “sweet color”. Then, the taste term showing difference between male and female college students included “light”, “mild”, “sourish”, “tasty” and “sweet”. Based on the above result of this study, it is apparent that there is a close relation between the food color and appetite while being difference between the general color and taste. In addition to this fact, there is also some differences between male and female college students in the taste of food color.

• Korean Journal of Breeding Science
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• v.51 no.3
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• pp.190-200
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• 2019

It is reported that the absence of lipoxygenase-3 (LOX-3) may contribute to a reduction in stale flavor after the storage of rice. To improve the quality of stored rice of the Korean japonica rice cultivar, we conducted a breeding program to develop near-isogenic rice without LOX-3 in the genetic background of Saenuri, a mega variety of Korea. In the first step of the breeding program, we used a donor parent of LOX-3 null, Daw Dam, and a recurrent japonica parent, Sindongjin, to develop HR27873-AC12 by backcross (BC₁), color test for introgression of lox-3, and anther culture for rapid fixation. In the second step, we used the donor parent, HR27873-AC12, and the recurrent parent, Saenuri, to develop HR28896-31-3-1-1 by backcross (BC₁), marker-assisted selection (MAS) for lox-3, and phenotypic selection (PS) for agronomic traits. Finally, in the third step, we developed HR30960-186-2-1-2-1 (Jeonju624), derived from a cross between Saenuri and HR28896-31-3-1-1, by MAS for lox-3 and PS with high selection pressure for agronomic characteristics. Jeonju624 was confirmed with the introgression of lox-3 by molecular marker. Jeonju624 was a mid-late maturing rice with similar agronomic characteristics to Saenuri, lodging tolerance with short culm, erect plant architecture, and resistance to bacterial blight and rice stripe virus. The yield components of Jeonju624 were mostly similar to Saenuri, except for the 1,000-grain weight of brown rice. The appearance of the grain of Jeonju624 was better than that of Saenuri, and the characteristics of cooked rice were similar to those of Saenuri. In the genetic background analysis using 406 KASP (Kompetitive Allele-Specific PCR) markers, Jeonju624 was confirmed to be the near-isogenic line (NIL) of Saenuri with a 95.8% recovery rate. Jeonju624 is the NIL of Saenuri without LOX-3, and overcomes the linkage drag of Daw Dam with similar agronomic characteristics and genetic background to Saenuri. Jeonju624 can be utilized as a practical cultivar to improve the quality of stored rice, breeding material for the introgression of lox-3, and genetic material to elucidate the effect of introgressed genes.