• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.1-9
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• 2009

In virtual environments, such as computer game and animation, we need to enhance naturalness of crowd simulation. So, we propose a method to generate dynamically moving crowd patterns by applying emotional factors to the individual characters of a crowd in the determination of their behavior. The proposed method mimics human behavior and controls each character in a group to decide its own path according to its individual status. And it is able to generate various moving patterns as a result of letting the individuals go to another group depending upon their conditions. In this paper, some temperament and feeling factors are defined and determination rules for calculating the emotional status are also proposed. Moreover we use a fuzzy theory for accurate representation of the ambiguous expressions such as feeling bad, feeling good and so on. Our experiments show that the suggested method can simulate virtual crowd in more natural and diverse ways.

• Korea Real Estate Review
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• v.28 no.1
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• pp.53-63
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• 2018

This paper shows that the value of land can vary based on the future availability of the land. According to the Korean principles of land appraisal by the Ministry of Land, Infrastructure, and Transport (MOLIT), the value of a piece of land is derived mainly from the latter's fertility level or local environment. In practice, however, the values of lands may vary even though their fertility level is invariant. This paper investigates a fundamental question for many professional appraisers who argue that appraisal practices are different from the principles of appraisal. It highlights the appraisal practices for agricultural and forestry lands, which have similar agricultural productivity levels or environmental conditions. It is shown in this paper that even though the fertility level of lands is invariant, the values of lands may vary based on their locations. Therefore, this can complement the principles of land appraisal. In this paper, real cases in local areas in Gapyeong County, Kyounggi province are investigated. It can be seen from the cases in the local areas that two agricultural lands may have different values based on their locations even though they have almost similar fertility levels (e.g., their physical distance from each other is less than 0.5 km but their values differ by around 19%). This paper thus argues that the value of a piece of land can be determined by its availability.

• Journal of Korea Multimedia Society
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• v.17 no.1
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• pp.77-93
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• 2014

Kinetic typography has been suggested to express emotions in computer-mediated communication (CMC) by empowering static texts with dynamic attributes, where conversations occur primarily in text-based forms. In this work, we investigate whether pre-defined kinetic typography effects are capable of delivering emotions, and further, which specific attributes of kinetic typography arouse such emotions. The results show that emotional response of users were corresponding to the emotions intended by experts, indicating that pre-defined kinetic typography is an applicable way to express emotions consistently in CMC. Also, results demonstrate some key attributes that derive certain levels of mood and energy respectively. Energy level turned out to be affected by the font size, transparency, direction of movement, amount of movement, velocity, and acceleration of the text, while mood level was influenced by the transparency, direction of movement, regularity in movement, and speed of the text.

• Journal of Korean Library and Information Science Society
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• v.48 no.1
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• pp.227-243
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• 2017

This study aims to explore older adults' experiences on cognitive and physical barriers and emotional changes of interactions from their health information seeking. Total of 10 older adults aged 65 or more were individually interviewed. The results show that the older adults may experience more difficulty from the perspectives on cognitive and physical barriers. The cognitive barriers are to: 1) know information resource and information search skills, 2) to choose relevant information, and 3) to know information search tools. The physical barriers for them to consider are eyes, hands, legs, and the whole body when accessing health information. In terms of emotion, the older adults express curiosity and negative emotion and at the beginning of the search and then they have more emotional expressions in the middle, and then they express positive emotion at the end of the search. The results suggest that information professionals should consider library as a connection to help them reduce these barriers and stabilize emotional changes.

• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2326-2328
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• 2004

인간의 감성은 인간의 생활에서 논리적 사고와 의사결정, 감정의 발생, 행동 등 모든 부분에서 관련을 가진다. 이런 인간의 감성을 정성 정량적으로 측정 평가하여 제품이나 환경 설계에 응용한다면 더욱 편리하고 안락하며 안전하게 하는 등 인간의 삶을 쾌적하게 할 수 있다. 그래서 인간의 감성을 파악하기 위한 연구가 여러 방향으로 추진되고 있으나, 인간의 감성이 상당히 주관적이고 애매하며 불확실하기 때문에 이를 객관적이고 합리적으로 파악하는데 많은 어려움이 있다. 이 논문에서는 Chroma 법을 이용하여 개별적 인간 감성 자료를 얻었고, 이렇게 수집된 감성 자료를 평가하기 위한 방법으로 클러스터 분석법을 이용한다. 그리고 개별적 인간 감성 자료에 대한 사례 연구를 통해 자료 평가의 타당성을 검증하고자 한다.

• The Journal of the Korea Contents Association
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• v.15 no.7
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• pp.389-402
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• 2015

Due to tough competition among social network services, technological specification alone could not be an adoption factor by the users. Instead, emotional factors such as a brand image and feeling towards an SNS brand became important factors in service differentiation. This study examined Korean young users perception of brand personalities of three social network services, Facebook, Kakao Story, and Band. It also analyzed the influence of the perception of brand personality, brand-self-image congruence, and brand affect on brand recommendation to others. The authors conducted a survey of Korean college students. The results indicate that SNS users perceived three SNS's brand personalities differently, and the positive perception of an SNS service has a positive effect on brand recommendation. Brand personality, brand-self-image congruence, and brand affect combined determine brand recommendation. When the brand personality variable is statistically controlled, brand affect has strong effect on brand recommendation.

• Journal of Digital Convergence
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• v.16 no.8
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• pp.151-159
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• 2018

This study focused on appreciative inquiry(AI) of salespeople who have to respond to various types of emotions according to the desires of individual customers at service contact points and the effect of emotional labor on adaptive selling behavior and customer satisfaction. Dyadic questionnaires were administerd to 115 automobile salespeople and 2 customers who received service from each salesperson, and the collected data was analyzed by using structural equation modeling. The results showed that AI had positive influences on deep acting and surface acting. Only deep acting was found to have positive relationship with adaptive selling behavior, but not to surface acting. Adaptive selling behavior had a positive effect on customer satisfaction. This study will contribute to identifying the need for AI access for salespersons and for activating adaptive selling behavior through emotional labor related to AI practice.

• Korean Journal of Cognitive Science
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• v.21 no.4
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• pp.669-696
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• 2010

Assuming that the whole meaning of a document is a composition of the meanings of each part, this paper proposes to study the automatic grading of movie reviews which contain sentimental expressions. This will be accomplished by calculating the values of semantic segments and performing data classification for each review. The ARSSA(The Automatic Rating System for Sentiment analysis using an Appraisal dictionary) system is an effort to model decision making processes in a manner similar to that of the human mind. This aims to resolve the discontinuity between the numerical ranking and textual rationalization present in the binary structure of the current review rating system: {rate: review}. This model can be realized by performing analysis on the abstract menas extracted from each review. The performance of this system was experimentally calculated by performing a 10-fold Cross-Validation test of 1000 reviews obtained from the Naver Movie site. The system achieved an 85% F1 Score when compared to predefined values using a predefined appraisal dictionary.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.559-561
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• 2005

본 논문은 사용자가 감각형 인터페이스를 사용하여 가상공간의 지능적인 화단을 체험, 체감 할 수 있는 시스템(Garden Alive)을 제안한다. 제안된 시스템은 카메라, 조도, 습도 센서를 갖춘 현실공간의 화단과 상호작용에 사용되는 감각형 인터페이스, 진화모듈과 감정모듈을 갖춘 인공지능 모듈, 그리고 가상식물의 성장과 반응을 보여주는 Virtual Garden으로 구성된다. 감각형 인터페이스는 카메라로 사용자의 손동작을 인식하고, 조도센서로 광량을 확인하여, 습도센서로 물의 양을 측정한다. 이러한 정보를 바탕으로 인공지능 모듈은 식물의 진화 방향과 감정상태의 변화를 결정한다. Virtual Garden은 L-system을 기반으로 제작되어 가상식물들은 실제 식물들과 유사한 형태로 성장하도록 한다. 제안된 Garden Alive에서 화단의 식물들은 각각의 개체마다. 유전자를 가지고 있어 식물의 다양성을 볼 수 있고, 빛과 수분 등의 환경요인에 따른 적합도를 평가함으로써 세대를 거듭함에 따라 진화해가는 모습을 볼 수 있다. 마지막으로 단순히 자극에 반응하는 식물이 아닌 사용자와 상호작용에 따른 식물의 감정 변화를 통해 적절한 반응을 보이는 지능적인 식물을 구현하였다. 따라서 제안된 시스템은 오락과 교육을 위한 콘텐츠, 사용자에 따른 개별적 반응을 통해 심리적인 안정을 제공할 수 있는 콘텐츠 등으로 응용될 수 있다.

• The Journal of Society for e-Business Studies
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• v.21 no.3
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• pp.15-28
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• 2016

This paper proposes a system recommending spatial information what user wants with collecting and analyzing tweets around the user's location by using the GPS information acquired in mobile. This system has built an emotion dictionary and then derive the recommendation score of morphological analyzed tweets to provide not just simple information but recommendation through the emotion analysis information. The system also calculates distance between the recommended tweets and user's latitude-longitude coordinates and the results showed the close order. This paper evaluates the result of the emotion analysis in a total of 10 areas with two keyword 'Restaurants' and 'Performance.' In the result, the number of tweets containing the words positive or negative are 122 of the total 210. In addition, 65 tweets classified as positive or negative by analyzing emotions after a morphological analysis and only 46 tweets contained the meaning of the positive or negative actually. This result shows the system detected tweets containing the emotional element with recall of 38% and performed emotion analysis with precision of 71%.