• Science of Emotion and Sensibility
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• v.19 no.3
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• pp.121-132
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• 2016

Emotion is considered to be involved in the moral decision-making process consisting of moral judgment, moral intention, and moral behavior. This research investigated the distinct role of two specific moral emotions, guilt and shame, when they are suppressed, on moral judgment, moral intention, and moral behavior through an online experiment. Moral emotion (guilt vs. shame) as well as suppression of these emotions (suppressing vs. control) was manipulated to infer the causality of moral emotions and the moral decision-making process when they are suppressed. The results suggest that suppressing guilt was involved in moral judgment and moral intention, but was not involved in moral behavior. In particular, participants who maintained guilt evaluated moral vignettes as more moral and perceived that they would follow the behavior described in the vignettes than those participants who suppressed their guilt. On the other hand, our data showed that suppressing shame was not involved in moral judgment and intention but was in behavior. Participants who maintained shame engaged in moral behavior more than participants who suppressed shame. We delineate the different mechanisms between guilt and shame on the moral decision-making process with the discrete emotion theory.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.394-395
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• 2023

"이성적이며 이상적인 합리적 인간"을 가정하는 기존 경제학의 이론이 항상 실제 상황과 일치하지는 않는 것으로 알려져 있다. 이의 대안으로 나온 행동경제학은, 인간의 경제적 의사결정에 심리, 인지, 감정, 사회문화적 배경 등이 영향을 미친다고 본다. 본 연구에서는 행동경제학에 의거하여, 개인의 감정과 경험이 경제적 의사결정에 영향을 미치는지 여부를 빅데이터 모델을 활용하여 분석하였다. SNS 여론으로는 Reddit, 주가지수로는 S&P 500 을 선정하였다. 수집한 텍스트 데이터를 전처리와 감정분석을 통해 독립변수 값으로 사용했고, 주가지수 등락의 방향성을 종속변수로 사용하여 로지스틱 모형을 구성했다. 모델을 활용하여 분석한 결과 Public sentiment 와 Market sentiment 간 양의 상관관계를 확인할 수 있었다. 또한, lag 를 설정하는 모델이 정확도가 더욱 높음을 확인해, 기존 경제학의 EMH 와 대립되는 바를 확인할 수 있었다. 하지만 최적의 lag 산정을 위해, 더 광범위한 데이터를 바탕으로 한 후속연구가 필요하다.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 1999.12a
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• pp.663-673
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• 1999

본 연구는 정보윤리 의사결정에 관한 연구로 소프트웨어 불법복제의 요인을 규명하는 것을 목적으로 하고 있다. 인터넷 서베이를 통해 자료를 입수하였고, 분석한 결과 인터넷을 통한 불법복제물의 유통이 확대되고 있는 것으로 나타났다. 또한 나이가 많고, 고학력일수록 불법복제의도는 높은 것으로 나타났는데, 이러한 결과는 선행연구와는 다른 결과를 보여 주고 있어 이에 대한 연구가 필요하다고 할 수 있다. 마지막으로 불법복제에 미치는 요인이 무엇인지 밝히고자 실시한 요인분석과 회귀분석의 결과, 요인은 태도, 사회적 규범, 행동의 용이성, 상황적 변수로 나타났으며, 회귀분석결과 불법복제 의도에 태도가 가장 중요한 요인으로 선정되었으며, 상황적 요인이 유의적인 결과를 보였다.

• Journal of Environmental Policy
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• v.7 no.4
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• pp.57-73
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• 2008

This short paper considers the situation where an environmental policy could play a source of an exogenous background risk at an individual's wealth and analyzes the effect of such a background risk on the individual's decision making in a simple chance-improving model. Our analysis shows that risks at initial wealth generated by an environmental policy could be regarded as an exogenous background risk in many cases and that such a risk makes a risk averse person behave more risk aversely in some restricted decision making situations. A policy maker considering an environmental policy which would affect individuals' initial wealth should take into account that the environmental policy could affect an individual's seemingly irrelevant economics decisions via his or her wealth.

• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.329-337
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• 2019

It is true that many tales delivered in an 'Story-telling' auditorium or theater have not so much exquisite and refined forms as distorted and deteriorated ones. Furthermore, when false interpretations of tale-performers added into the category of the texts of tales, the problems can be made worse. In case of oral folk tales, there can be discordance between the standpoint of a tale-performer and the contents of a tale. This thesis is directly aimed at pointing out the 'Behavior Economics' problems concerned with the reading and interpretation of tales through investigating the missing parts of a text in reading tales. Man's rationality is meant to be confined to bounded rationality. Instead of making best choices, bounded rationality leads consumers to make a decision which they think suffices themselves to the point requiring no more consideration on the given item. It is the very Heuristic that does work in the process of this simplified decision making process. Heuristic utilizes established empirical notion and specific information, and that's why there can be cognitive 'Biases' sometimes leading to inaccurate judgment. As Oral Literature is basically based on heavy guesswork and perceptual biases of general public, it is imperative to contemplate oral literature in the framework of Heuristic of behavior economics. This thesis deals with thinking types and behavioral patterns of the general public in the perspective of heuristic by examining 'Story-tellings' on the basis of personal or public memory. In addition, heuristic involves how to deal with significant but intangible content such as the errors of oral story teller, the deviations of the story, and responses of the audience.

• Journal of the Korean Data and Information Science Society
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• v.20 no.3
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• pp.563-575
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• 2009

This research has found logical data directly influencing forming consideration set and attitude and attitude strength under the choosing situation based on memory-base proposed by Priester et. al (2004). We've examined the possibility of model extension through physical salient strength according to the location of product display as an external stimulate factor and attitude and attitude strength, consideration set and role on variable choice. Especially, this research practically proposed the method measuring directly the attitude on behavior instead of seeing the intension of behavior or behavior by measuring the behavior itself based on existing experiment methods and applied logistics regression analysis. In conclusion, this research confirmed the possibility of generalization of this model by verifying appropriateness through logical background and actual analysis based on stimulus-base proposed model characters as an integrated model relation between attitude in stimulus-based relation and decision-making.

• Journal of the Korean Applied Science and Technology
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• v.38 no.6
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• pp.1709-1721
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• 2021

This study identified the impact of career identity and career decision-making type on career preparation behavior in nursing students. The participants were 198 nursing students enrolled in the 3rd and 4th grades located in J province, and data were collected from June 14, 2021 to 27, 2021, using an online questionnaire. Data were analyzed with descriptive statistics, independent t-test, one-way ANOVA, Pearson's correlation, and hierarchical regression using SPSS/WIN 23.0 program. As a result, the mean score of career identity, rational type, intuitive type, dependent type, and career preparation behavior were 2.79(range 1~4), 3.78(range 1~5), 3.38(range 1~5), 3.01(range 1~5), and 3.51(range 1~5), respectively. Career preparation behavior was significantly correlated with career identity(r=.40, p<.001), rational type(r=.50, p<.001), intuitive type(r=.22, p=.002), and dependent type(r=-.20, p=.004). Factors influencing career preparation behavior were career identity(β=.23, p=.001), rational type(β=.31, p<.001), intuitive type(β=.27, p<.001), and dependent type(β=-.20, p=.002). These variables accounted for 24.6%p of the variance in career preparation behavior(F=11.93, p<.001). These research results suggest that it is necessary to establish a career identity and develop and apply a program that includes career guidance according to career decision-making type to improve the career preparation behavior of nursing students.

• Korean Journal of Social Welfare
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• v.67 no.2
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• pp.85-112
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• 2015

This study examined the relationship structure among personal and social cognitive factors contributing to professional help-seeking decisions to relieve distress of those in low-income, then suggested an appropriate model to inform knowledge for better social work practice. Using data of a purposive sampling from 331 low-income people, covariance structural analyses were conducted in two stages of model exploration, one for TPB model and another for its extended model including the level of distress, family support, and willingness. As results, in the path analyses with the observed variables of the basic components of the TPB, subjective norm showed the strongest effect on the intention, following by attitudes towards help-seeking, then behavioral control the least; in turn both the intention, positively, and behavioral control, negatively, contributed to help-seeking decisions. In the second stage of the path analyses with the extended model of the TPB, each of distress and family support demonstrated direct positive effect on each of attitudes, subjective norm, and behavioral control; each of the attitudes, subjective norm, and behavioral control showed positive effect on both intention and willingness; in turn, while intention showed strong positive effect on help-seeking decisions, willingness had no significant effect and behavioral control had negative effect on decisions. There were significant indirect effects of behavioral control on intention through willingness and of willingness on decisions through intention. These results suggested that the TPB model is useful for modeling help-seeking decisions through personal and social cognitions, especially the significance of subjective norm implied the importance of social cognition for the people in low-income with distress. Further, it was implied that the extended model needs to address particularity of those people in low-income and the mechanism shown by behavioral control and willingness implied the importance of practicing respect for the client's autonomy and will for self-support in social work practice.

• KIISE Transactions on Computing Practices
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• v.23 no.10
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• pp.599-604
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• 2017

A useful application of smart assistants is to predict and suggest users' daily behaviors the way real assistants do. Conventional methods to predict behavior have mainly used explicit schedule information logged by a user or extracted from e-mail or SNS data. However, gathering explicit information for smart assistants has limitations, and much of a user's routine behavior is not logged in the first place. In this paper, we suggest a novel approach that combines explicit schedule information with patterns of routine behavior. We propose using inference based on a Markov decision process and learning with a reward function based on inverse reinforcement learning. The results of our experiment shows that the proposed method outperforms comparable models on a life-log dataset collected over six weeks.

• Journal of Korean Society of Transportation
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• v.8 no.1
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• pp.89-102
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• 1990

본 연구에서는 개별모형(disaggregate model)을 이용한 도시권의 교통수요예측 모형체계의 구축을 최종목적으로 하며, 그때 개인이 1일 중에 행하는 복수의 트립에 관한 의사결정간의 상호관계를 적절히 고려함에 의해, 되도록 개인의 교통행동을 논리적으로 설명함과 동시에 모형의 취급이 용이하도록 논리성과 실용성이 잘 조화된 모형의 구축을 시도하였다. 모형의 체계는 비취업자와 취업자 각각의 1일의 통행행태유형의 선택에 관한 2개의 Sub-model로 구성되어져 있다. 본 논문은 그 Sub-model중의 하나인 비취업자의 1일의 통행행태유형(트립발생, 각 트립의 목적지와 교통수단)의 선택에 관한 개별모형의 개발을 행한 것이다. 본 모형의 특징은 tour별 효용최대화행동가설에 기초를 두어 개인이 1일 중에 행하는 각 트립의 선택행동은 해당트립의 전후에 행해지는 트립들의 선택행동의 영향을 고려하여 의사결정을 하는 것으로 가설을 설정하여 트립간의 상호관련성을 표현하였다. 모형의 구조로서는, 모형의 취급이 보다 용이하도록 tour별 효과최대화를 트립단위의 단계형 모형으로 표현하는 nested logit model형의 수차동시효과최대화 모형을 구축하였다 실제의 도시권에 대한 실증적 검토를 행한 결과, 본 연구에서 개발한 별개모형의 유효성이 확인되었다.