• Korean Journal of Cognitive Science
• /
• v.18 no.1
• /
• pp.1-14
• /
• 2007

In a goal-oriented dialogue, speakers' intentions can be represented by domain actions that consist of pairs of a speech act and a concept sequence. Therefore, if we plan to implement an intelligent dialogue system, it is very important to correctly infer the domain actions from surface utterances. In this paper, we propose a statistical model to determine speech acts and concept sequences using conditional random fields at the same time. To avoid biased learning problems, the proposed model uses low-level linguistic features such as lexicals and parts-of-speech. Then, it filters out uninformative features using the chi-square statistic. In the experiments in a schedule arrangement domain, the proposed system showed good performances (the precision of 93.0% on speech act classification and the precision of 90.2% on concept sequence classification).

• Journal of The Korean Association For Science Education
• /
• v.39 no.6
• /
• pp.707-715
• /
• 2019

The self-directed inquiry to improve students' core scientific competency is an important teaching method. Students experience a variety of difficulties in carrying out their inquiry tasks, sometimes fail to produce the desired results, or fail to perform a meaningless inquiry. This study was conducted to identify the causes of difficulties and failures in students' self-directed scientific inquiry. The study involved 16 high school students with experience in science research at science high schools and science-focused high schools. The data collection consisted of in-depth interviews centered on semi-structured open questions. Qualitative data analysis was imputed by finding paragraphs from the interview material that might reveal the difficulties and failures experienced by participants and the reasons for them. The study found that most of the causes of failure were lack of ability, incomplete procedures, and selection of complicated tasks. A variety of cognitive biases, such as overconfidence, planning fallacy, and groupthink, were also analyzed as causes. Based on the results of the study, it is necessary to develop an educational strategy that students can be fully prepared to reduce their trials and errors in a self-directed inquiry maximally.

• Korean Journal of Cognitive Science
• /
• v.27 no.4
• /
• pp.599-618
• /
• 2016

The relationship between dependent personality traits and depression has been widely studied in the field of psychology. However, the existing evidence is mixed and often contradictory, obscuring the precise nature of this relationship. Given that the most common method of measuring the construct of dependency has been to administer self-report instruments, it is possible that implicit dependency, another parameter of dependency that is distinct from explicit dependency measured via self-report, is confounding these results. The current study aimed to clarify the relationship between dependency and depression by comparing the effect of implicit and explicit dependency. Implicit dependency was measured via the Single Category-Implicit Association Test (SC-IAT), a test of implicit personality that has shown to have good validity and reliability in previous studies. In addition, we examined the effect of gender on this relationship, given the potential role of gender stereotype that may make male participants show lower levels of dependency when measured through self-report (vs. SC-IAT). Results showed that implicit and explicit dependency indeed had separate and distinct relationships, and the relationships depends on participants' gender. Among female participants, increased explicit dependency predicted depression only when implicit dependency was also elevated. In contrast, explicit dependency predicted depression regardless of the level of implicit dependency in male participants. These findings suggest that implicit and explicit dependency may be separate parameters capturing different aspects of dependent personality traits, further supporting the need to consider the implicit aspect of personality in personality assessment research. Implications and limitations of the current findings and directions for future research are discussed.

• The Journal of Bigdata
• /
• v.5 no.2
• /
• pp.201-213
• /
• 2020

Despite empirical research that the response to human risk is significantly influenced affective factors, the role of affective factors has been unexplored in information privacy research. This study aims to explore the privacy behaviors of location-based service (LBS) users from an affective point of view. Specifically, the study explored the relationship between three types of privacy threats (collection, hacking, secondary use), two affects (worry, anger), and a coping behavior (continuous use intentions). The structured survey was conducted with 552 users. In order to analyze the effect of the combination of perception of particular privacy threats and particular affects on the intention of continuous use, association rules, one of the data mining techniques, was employed. As a result, there was a difference in the intention to use according to the combination of the perception of risk and affect responses, and the most significant influence on the intention is when the second use of personal information was combined with anger. This study has significant theoretical contribution in that it includes affective factors in the research of information privacy users, complementing the biases of existing cognition-oriented approaches and providing a comprehensive understanding of privacy response behavior.

• Journal of the Korean Society of Earth Science Education
• /
• v.17 no.2
• /
• pp.153-167
• /
• 2024

This study explored the errors and context occurred during high school students' data analysis processes. For the study, 222 data inquiry reports produced by 74 students from 'A' High School were collected and explored the detailed error types in the data analysis processes such as data collection and preprocessing, data representation, and data interpretation. The results of study found that in the data interpretation process, students had a somewhat insufficient understanding of seasonal variations and periodic patterns about weather elements. And, various types of errors were identified in the data representation process, such as basic unit in graphs, legend settings, trend lines. The causes of these errors are the feature of authoring tools, misconceptions related to weather elements, and cognitive biases, etc. Based on the study's results, educational implications for big data education, a significant topic in future science education, were derived. And related follow-up studies were suggested.

• Korean Journal of Cognitive Science
• /
• v.26 no.2
• /
• pp.241-261
• /
• 2015

The current study investigated whether in-group bias affects 5- to 6-year-old children's resource-allocation decisions. In Experiment 1, participants were asked to allocate 10 stickers between a friend (an in-group member) and a stranger (an out-group member). Children allocated significantly more stickers to friends than to strangers, suggesting that they made distributive decisions in favor of their in-group members, when they were not the beneficiary of a resource-allocation. In Experiment 2, we examined whether being one of the recipients in the resource-allocation game would affect children's decisions. The procedure was identical to that of Experiment 1 except that participants were asked to allocate stickers between themselves and a friend or a stranger. The children showed selfish distributions regardless of recipients. These results indicate that when children become one of the recipients in a resource-allocation, their self-interests override their preference for in-group members.

• Korean Journal of Culture and Arts Education Studies
• /
• v.9 no.3
• /
• pp.45-61
• /
• 2014

Recently, there is a discussion about culture theory in the area of traffic safety regulation. It has the view that the subject of criticism, etc. by drivers' regulation interpretation, awareness about the danger of regulation violation and nonacceptance of regulation can be changed according to the way drivers' cultural bias was formed. According to the culture theory, fundamental views of the world in particular social relations surrounding individuals, world view or cosmology, are formed and the world view makes an effect on individual behavior and attitude. In this context, cultural cognition and cultural learning theory which are suggested in Christoph Wulf's study on historical-cultural anthropology provide new approach toward this phenomenon. According to his insistence, core mechanisms which can explain cultural cognition and cultural learning are systematized by five things; physical characteristic, mimesis, performance theory, rite and image. The purpose of this research is to investigate the changes by the way Korean people cognize traffic regulations culturally and experiences of traffic regulation violation through the analytic frame of Christoph Wulf's five core mechanisms. To achieve it, cognition of traffic culture was analyzed by analytical phenomenology for drivers who had been educated due to their violation of traffic regulations. Value, lifestyle and practicing methods which are pursued by people work in sociocultural context rather than are influenced by cognitive structure of individuals.

• Korean Journal of Cognitive Science
• /
• v.34 no.2
• /
• pp.111-151
• /
• 2023

It is reported that binge drinkers show cognitive impairment similar to alcohol use disorder patients. A previous studies using neuropsychological tests and brain imaging techniques to investigate the visual perception of alcohol use disorder patients reported that they had global-local visual perception defects. Although the neurological basis for the global-local visual perception deficit in the heavy drinking group has been presented, there are no studies to date that have investigated the global-local visual perception in the heavy drinking group. This study investigated local-biased visual perception in female college students with binge drinking (BD) using event-related potentials (ERPs). Based on the scores of the Korean version of Alcohol Use Disorder Identification Test and the Alcohol Use Questionnaire, participants were assigned into BD (n=25) and non-BD (n=25) groups. Local-global visual processing was assessed using a local-global paradigm, in which large stimuli (global level) composed of small stimuli (local level) were presented. The stimuli presented at global and local levels were either congruent or incongruent. The behavioral results exhibited that the BD and non-BD groups did not differ in terms of accuracy and response time. In terms of ERPs, the BD and non-BD groups did not show difference in N100, P150 and N200 amplitude. However, the BD group showed significantly smaller P300 amplitude than non-BD group especially in the local condition. In addition, a negative correlation between P300 amplitude and binge drinking score was observed, i.e., severer binge drinking smaller P300 amplitude. The P300 is known to reflect cognitive inhibition and attentional allocation. In the global-local paradigm, the local condition required to attend to local target while ignoring global non-target. Therefore, the present results indicate that female college students with BD do not have local-biased visual processing, instead they seem to have difficulties in inhibition of irrelevant stimuli.

• Anxiety and mood
• /
• v.10 no.1
• /
• pp.44-51
• /
• 2014

Objective : The amygdala has been considered to be a critical region in the pathophysiology of social anxiety disorder, but subregional connectivity pattern has not been examined yet despite lots of previous functional neuroimaging studies. Methods : Resting-state functional magnetic resonance imaging data was obtained in 19 patients with social anxiety disorder and 20 normal controls, and default mode functional connectivity with each of basolateral, centromedial and superficial areas of the amygdala was measured and compared between the two groups. Results : Differential amygdala-based networks between the two groups were distributed to all over the brain. In particular, however, a bias on the amygdala-cingulate pathway was observed in the superficial amygdala only. Connectivity strengths between the superficial amygdala and perigenual anterior cingulate cortex were correlated with scores of social interaction and avoidance. Conclusion : Our findings provide new insights into understanding of the intrinsic cognitive bias model of social anxiety disorder. An abnormality in superficial amygdala-anterior cingulate connectivity may influence on cognitive processing of socially-relevant information in social anxiety disorder.

• Korean Journal of Cognitive Science
• /
• v.28 no.4
• /
• pp.299-314
• /
• 2017

Predicting compound-protein interactions in-silico is significant for the drug discovery. In this paper, we propose an scalable machine learning model to predict compound-protein interaction. The key idea of this scalable machine learning model is the architecture of pairwise neural network model and feature embedding method from the raw data, especially for protein. This method automatically extracts the features without additional knowledge of compound and protein. Also, the pairwise architecture elevate the expressiveness and compact dimension of feature by preventing biased learning from occurring due to the dimension and type of features. Through the 5-fold cross validation results on large scale database show that pairwise neural network improves the performance of predicting compound-protein interaction compared to previous prediction models.