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Designing female-oriented computer games: Emotional expression

  • Shui, Lin-Lin;Lee, Won-Jung
    • Cartoon and Animation Studies
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    • s.20
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    • pp.75-86
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    • 2010
  • Recently, as the number of female players has increased rapidly, the electronic gaming industry has begun to look at ways to appeal to the largely untapped female market. According to the latest game market investigative report by China Internet Network Information Center (CNNIC), the total number of game players in China increased by 24.8% in 2009, reached 69,130,000 people, and 38.9% of them are female players. This growth in the number of female player is corroborated by a series of investigative reports from IResearch Company in Shanghai, China: from 2003 to 2009, the number of female players grew from 8% to more than 49%. Therefore, no matter how much attention the game production companies have given to male players or how they have ignored the female players before, the companies would be sensible to face up this reality and adjust their marketing policy a bit more. This article analyzes gender preferences in video games which shows that male players are more likely to be attracted to elements of aggression, violence, competition and fast action in electronic game-playing, while female players are drawn to emotional and social aspects of the games such as an understanding of character relationships. The literatures cited indicates that female players also show apparent preference for games with familiar environments, games that allow players to work together, games that have more than one way to win, and games in which characters do not die. It also discusses the characteristics of female-friendly games from the aspect of emotion, pointing out that the simulation games involving pet, dressing-up, and social simulation games are very popular with female players. Because these are the most suitable game types to fill with emotions of love, share, jealousy, superiority, mystery, these are absolutely attractive to female players. Finally, in accord with the above, I propose some principles of designing female-oriented games, including presenting a good-looking leading character, making the story interesting with "live" NPCs(Non-Playing Characters), and finding ways to satisfy female nature instincts such as taking care of others and the inborn interest of classifying and selecting.

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Antioxidant Activities and Xanthine Oxidase Inhibitory Effects of Hot-water Extracts from Fruits of Elaeagnus multiflora Thunb. in Maturity (성숙에 따른 뜰보리수(Elaeagnus multiflora Thunb.) 열수추출물의 항산화 활성과 Xanthine Oxidase 저해효과)

  • Yoon, Kyung-Young;Hong, Ju-Yeon;Nam, Hak-Sik;Moon, Yong-Sun;Shin, Seung-Ryeul
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.36 no.1
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    • pp.14-19
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    • 2007
  • This study was conducted to analyze the antioxidant activity and xanthine oxidase inhibitory effect of hot-water extracts from Elaeagnus multiflora Thunb. to provide fundamental data for the development of functional materials. The antioxidative activities of hot-water extracts from E. multiflora Thunb. were analyzed by electron donating ability (EDA) using 1,1-diphenyl-2-picryl hydrazyl (DPPH), superoxide dismutase (SOD) -like activity by pyrogallol and nitrite scavenging ability. EDA of extracts from unripe, ripe, and overripe fruits were 77.7%, 36.0%, and 23.7% at 100 ${\mu}g/mL$, respectively, and EDA of extract in unripe fruits was higher than those of others. At 1,000 $\mu$g/mL, the SOD-like activities were 32.8%, 11.2% and 5.0% for unripe, ripe, and overripe fruits, respectively. The SOD-like activity was increased along with the increase of unripe and ripe extract concentrations. The nitrite scavenging ability of unripe fruit extracts in 100, 300, 500 ${\mu}g/mL$ of extraction solution in pH 1.2 and 3.0 was higher than those of others. The nitrate scavenging ability of all extracts was decreased according to the increase of pH. Xanthine oxidase inhibitory activities of unripe, ripe and overripe fruits were 30.0%, 28.2%, and 18.2% at 1,000 ${\mu}g/mL$, respectively.

Nonlinear Filter-based Adaptive Shoot Elimination Method (비선형 필터 기반의 적응적 슈트제거 방법)

  • Cho, Jin-Soo;Bae, Jong-Woo
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.45 no.2
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    • pp.18-25
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    • 2008
  • The current display systems including TVs are going digital and large-sized, and high visual quality of those systems becomes a very important selling point in the current display system market. Thus, various researches have been carried out for enhancing the visual quality of digital display systems. One of the important digital image(or video) enhancement techniques is sharpness enhancement, and it is generally based on a transient improvement technique that reduces the edge transition time. However, this technique often generates overshoot and undershoot, which cause undesirable pixel-level changes around the transient improved edge. In this paper, we propose a new nonlinear filter-based adaptive shoot elimination method for effectively suppressing the overshoot and undershoot that occur in the transient improvement, so that we can obtain visually sharper and clearer digital images(or videos). The proposed method uses two orthogonal directional min/max nonlinear filters with an adaptive shoot elimination scheme in order to effectively suppress the visually sensitive overshoot and undershoot. Experimental results show that the proposed method suppresses the overshoot and undershoot almost perfectly while maintaining the effect of the transient improvement. The applications of the proposed method include digital TVs, digital monitors, digital cameras/camcoders, portable media players(PMP), etc.

Effect of Mobile Users' Characteristics and Experiences Have on the Utilization of Mobile Communication (사용자의 개인적 특성과 사용 경험이 이동통신 활성화에 미치는 영향)

  • Lee, Jae-Hong;Ahn, Joong-Ho;Sung, Ki-Moon;Jeong, Woo-Young
    • The Journal of Society for e-Business Studies
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    • v.15 no.2
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    • pp.37-53
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    • 2010
  • As mobile communications service is growing every single year in Korea, it has pulled the interest of many researchers as wells as the executives. This research is aimed to find out factors of the mobile market that affect the utilization of mobile communication. We adopted a survey method with a pinpointed focus on how users' profile and individual experience relates with the utilization of mobile communication. For this objective, first, we primarily analyzed the mobile users' characteristics and service usage patterns. Then, we developed a conceptual model and hypotheses that are empirically examined using a covariance structure analysis, which will contribute to investigating critical success factors in mobile business. Some suggestions constitute the remaining part of this research. First, user characteristic is an important factor that affects the amount expended for mobile service. Second, user experience is another critical aspect that is highly linked with mobile payment. In alignment with our research, we propose user characteristics such as age and income, and user experience about mobile internet usage and mobile contents usage are of great significance in devising both near- and long-term mobile business strategy.

A Pilot Study on Applying Text Mining Tools to Analyzing Steel Industry Trends : A Case Study of the Steel Industry for the Company "P" (철강산업 트렌드 분석을 위한 텍스트 마이닝 도입 연구 : P사(社) 사례를 중심으로)

  • Min, Ki Young;Kim, Hoon Tae;Ji, Yong Gu
    • The Journal of Society for e-Business Studies
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    • v.19 no.3
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    • pp.51-64
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    • 2014
  • It becomes more and more important for business survival to have the ability to predict the future with uncertainties increasing faster and faster. To predict the future, text mining tools are one of the main candidate other than traditional quantitative analyses, but those efforts are still at their infancy. This paper is to introduce one of those efforts using the case of company "P" in the steel industry. Even with only four month pilot studies, we found strong possibilities, if not testified robustly, to predict future industrial trends using text mining tools. For these text mining case studies, we categorized steel industry trend keywords into ten components (10 categories) to study ten different subjects for each category. Once found any meaningful changes in a trend, we had investigated in more detail what and how some trend happened so. To be more roust, firstly we need to define more cleary the purpose of text mining analyses. Then we need to categorize industry trend key words in a more systematic way using systems thinking models. With these improvements, we are quite sure that applying text mining tools to analyzing industry trends will contribute to predicting the future industry trends as well as to identifying the unseen trends otherwise.

Classification of Performance Types for Knowledge Intensive Service Supporting SMEs Using Clustering Techniques: Focused on the Case of K Research Institute (클러스터링 기법을 활용한 중소기업 지원 지식서비스의 성과유형 분류: K 연구원 사례를 중심으로)

  • Lee, Jungwoo;Kim, Sung Jin;Kim, Min Kwan;Yoo, Jae Young;Hahn, Hyuk;Park, Hun;Han, Chang-Hee
    • The Journal of Society for e-Business Studies
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    • v.22 no.3
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    • pp.87-103
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    • 2017
  • In recent years, many small and medium-sized manufacturing companies are making process innovation and product innovation through the public knowledge services. K Research institute provides different types of knowledge services in combination and due to this complexity, it is difficult to analyze the performance of knowledge service programs precisely. In this study, we derived performance items from bottom-up viewpoints, rather than top-down approaches selecting those items as in previous performance analysis. As a result, 74 items were finded from 82 companies in the K Research Institute case book, and the final result was refined to 17 items. After that a case-performance matrix was constructed, and binary data was entered to analyze. As a result, three clusters were identified through K-means clustering as 'enhancement of core competitiveness (product and patent),' 'expansion of domestic and overseas market,' and 'improvement of operational efficiency.'

Korea's Global Science & Technology(S&T) Agenda -A study on Internationalization of Industrial R&D for Korean SME- (한국의 글로벌 과학기술협력 연구 -한국 중소기업의 R&D 국제화 가속방안과 중소기업코디네이터-)

  • Lee, Sang-Yun;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.7 no.4
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    • pp.693-705
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    • 2012
  • It is increasing the necessity of technology cooperation between nations, in the world, more and more. The international cooperation for the technology development have the dissipating effect of costs and risks and encourage efficient use of the knowledge and eventually help the firms better access overseas market easily. The S&T diplomacy of Korea is, at present, on international S&T cooperation to secure technologies to strengthen base of science, technology and innovation. This tendency is closely related with the governance issue in international S&T cooperation. And This international S&T cooperation is connected with the internationalization of firms. But it is getting more difficult for a firm, especially smaller firm like Korean SME to sustain the technological advantage over any significant period. The small and medium sized enterprises as Korean SME, internationalization of R&D is difficult just to think in terms of one framework with the limited accumulation of informations and experiences. So against that situation, this paper shows a new concept 'SME co-ordinator' as the role client(or player) reinforcing international S&T cooperation, sustaining the technological advantage for Korean SME. And 'SME co-ordinator' leads Korean SME to progress 'open innovation' not 'close innovation' as well as serving adequate information about appropriate partners and capable employer to help manage the international S&T cooperation for Internationalization of Industrial R&D for Korean SME.

A Study on Increasing Security Following Mutual Interaction and Integration of Dualized Security Category between Information Security and Personal Information Protection (정보보안과 개인정보보호 간의 이원화 보안범주의 상호연계 및 통합에 따른 보안성 증대에 대한 연구)

  • Seo, Woo-Seok
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.3
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    • pp.601-608
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    • 2018
  • While the legislation on the protection of personal information in public institutions was enacted and amended, the guidelines and laws on information security were focused, contracted and realized with focus on specific institutions. Mutual laws and guidelines have been applied and realized for the dual purpose of securing both the asset of macroscopic information and the asset of personally identification information, which are mutually different media information. However, in a bid to present the definition and direction of the fourth industrial revolution in 2017, a variety of products and solutions for security designed to ensure the best safety line of the 21st century, and the third technology with the comprehensive coverage for all these fields, a number of solutions and technologies, including IOT(: Internet of Things), ICT Internet of Things(: ICT), ICT Cloud, and AI (: Artificial Intelligence) are pouring into the security market as if plastic doll toys were manufactured in massive scale into the market. With the rising need for guaranteeing the interrelation for securities with dualistic physical, administrative, logical and psychological differences, that is, information security and personal information security that are classified into two main categories and for the enhanced security for integrated management and technical application, the study aims to acquire the optimal security by analyzing the interrelationship between the two cases and applying it to the study results.

A Study of Statistical Learning as a CRM s Classifier Functions (CRM의 기능 분류를 위한 통계적 학습에 관한 연구)

  • Jang, Geun;Lee, Jung-Bae;Lee, Byung-Soo
    • The KIPS Transactions:PartB
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    • v.11B no.1
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    • pp.71-76
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    • 2004
  • The recent ERP and CRM is mostly focused on the conventional function performances. However, the recent business environment has brought the change in market due to the rapid progress of internet and e-commerce. It is mostly becoming e-business and spreading out as development of the relationship with other cooperating companies, the rapid progress of the relationship with customers, and intensification competitive power through the development of business progress in the organization. CRM(custom relationship management) is a kind of the marketing progress which forms, manages, and intensifies the relationship between the customers and companies to manage the acquired customers and increase the worth of customers for the company. It needs the system base which analyzes the information of customers since it functions on the basis of various information about customers and is linked to the business category such as producing, marketing, and decision making. Since ERP is extending its function to SCM, CRM, and SEM(strategic Enterprise Management), the 21 century s ERP develop as the strategy tool of e-business and, as the mediation for this, will subdivide the functions of CRM effectively by the analogic study of data. Also, to accomplish classification work of the file which in existing becomes accomplished with possibility work with an automatic movement with the user will be able to accomplish a more efficiently work the agent which in order leads the machine studying law, it is one thing with system feature.

A design of Optimized Vehicle Routing System(OVRS) based on RSU communication and deep learning (RSU 통신 및 딥러닝 기반 최적화 차량 라우팅 시스템 설계)

  • Son, Su-Rak;Lee, Byung-Kwan;Sim, Son-Kweon;Jeong, Yi-Na
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.13 no.2
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    • pp.129-137
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    • 2020
  • Currently, The autonomous vehicle market is researching and developing four-level autonomous vehicles beyond the commercialization of three-level autonomous vehicles. Because unlike the level 3, the level 4 autonomous vehicle has to deal with an emergency directly, the most important aspect of a four-level autonomous vehicle is its stability. In this paper, we propose an Optimized Vehicle Routing System (OVRS) that determines the route with the lowest probability of an accident at the destination of the vehicle rather than an immediate response in an emergency. The OVRS analyzes road and surrounding vehicle information collected by The RSU communication to predict road hazards, and sets the route for the safer and faster road. The OVRS can improve the stability of the vehicle by executing the route guidance according to the road situation through the RSU on the road like the network routing method. As a result, the RPNN of the ASICM, one of the OVRS modules, was about 17% better than the CNN and 40% better than the LSTM. However, because the study was conducted in a virtual environment using a PC, the possibility of accident of the VPDM was not actually verified. Therefore, in the future, experiments with high accuracy on VPDM due to the collection of accident data and actual roads should be conducted in real vehicles and RSUs.