• KIPS Transactions on Software and Data Engineering
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• v.4 no.4
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• pp.195-200
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• 2015

Recently, most people use android based smartphones and we can find music players in any smartphones. However, it's hard to find a personalized music player which applies user's preference. In this paper, we propose an emotion-based music player, which analyses and classifies the music with user's emotion, recommends the music, applies the user's preference, and visualizes the music by color. Through the proposed music player, user could be able to select musics easily and use an optimized application.

• Science of Emotion and Sensibility
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• v.10 no.4
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• pp.511-521
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• 2007

It is very important that design based on preference of consumers who continuously change. Therefore, the method that can decide on the design concept which a consumer can prefer in future points of time that a design is released is necessary. There may be various ways to decide a design concept, but trend analysis is one of the best ways to be able to satisfy consumer preference. The purpose of this study is to provide a process that can give a direction of MP3 player design oriented consumer emotion. For the purpose, we considered about trend analysis as the ways that can present the design direction that can grasp a change of continuous preference, and a consumer can prefer with early bases in future points of time of a consumer. In this empirical research, we decided on design elements and levels of the elements after collecting 228 MP3 players released from 2000 to 2007, and carried out trend analysis through homogeneity analysis by SPSS program. In the result, we knew that future consumers also will regard emotional experience consumption as important. So, MP3 player design will be developed into consumer emotion-oriented design. We predict 4 trends for a future MP3 player design. 1. Development of high-priced MP3 player with various multimedia functions. 2. Development of MP3 player with basic functions. 3. Development of new convergence products with MP3 function. 4. Development of new MP3 player based on flash memory. If designers can infer a future MP3 player design from this design trend results, the probability that can occupy competitive advantage in their competitions will be high. Therefore this study can be useful.

• Journal of Korean Home Economics Education Association
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• v.12 no.1
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• pp.59-73
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• 2000

The purpose of this study was to investigate the percent of body fat. fatness indices. and relationship between the percent body fat and dietary factors among the female middle school athletes. Hights, weights, an percent body fats of 17 soccer player. 10swimmer, and 5 rhythmic gymnast were measured. Dietary data were collected by questionnaires. The results of this study are summarized as follows. 1. Average body fat measured by infrared interactance method was 23.8$\pm$4.9% and BMI body fat was 20.3$\pm$2.6% Fatness indices such as BMI was 18.8$\pm$2.1 Rohrer index 119.4$\pm$11.8 percentage of ideal weight 90.4$\pm$9.2 and RBW 29.7$\pm$4.1. 2. Soccer player, swimmer, and rhythmic gymnast showed significant differences in percent body fat and fatness indices. ryhthmic gymnasts were smaller and lighter. 3. Most athletes were interested in diet and nutrition. and wanted to learn more about nutrition. Middle school female athletes ranked parents first or second for nutrition information. followed by managers$.$coaches$.$trainers. 4. Nutrition knowledge test score was 4.7 point out of possible 10, which is rather low, and showed significant difference in 3 kinds of players. 5. The quantities of food eaten in breakfast. lunch dinner and snack were significantly different among soccer player. swimmer. and rhythmic gymnast. In preference score of food groups, only beverage score was significantly different and of cooking methods. roasting and steaming were significantly different among the soccer player. swimmer. and rhythmic gymnast. 6. When subjects were divided into 3 groups on the basis of % infrared body fat, subjects with the highest body fat showed the tendency to eat more than others(non-sig). In the preference score of food groups. only fish showed significant difference among the groups. There were no significant differences between body fat and preference of various cooking method.

• Journal of Navigation and Port Research
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• v.31 no.9
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• pp.801-806
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• 2007

The analytical hierarchy process (AHP) enables decision makers to represent the interaction of multiple factors in complex and unstructured situations. The process requires the decision maker to develop a hierarchical structure of the factors in the given problem and to provide judgments about the relative importance of each of these factors and ultimately to specify a preference for each decision alternative with respect to each factor. The research presented in this paper applies the AHP to identify key players in promoting port competitiveness. The literature survey revealed four major criteria and 15 sub-criteria. The four factors are cost, service quality, facility/capacity and economic-social variable. 150 questionnaires suitable for AHP analysis were made and 77 were returned. It is found that in terms of cost, the first key player is terminal operator and the second key player is shipping companies calling Busan port; in terms of service quality, the first key player is terminal operator, and the second key player is shipping companies calling Busan port; in terms of facility/capacity, the first key player is port authority and the second key player is terminal operator; in terms of economic-social variable, the first key player is terminal operator, and the second key player is shipping companies calling Busan port.

• Journal of Korea Game Society
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• v.9 no.2
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• pp.125-133
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• 2009

Game artificial intelligence is usually used to provide intelligent and adjusted game environment for user. Previously, it was used for Non-player character(NPC) playing a role of a company or an enemy through collecting and analyzing a user's behaviour. However, it was just mimicking the user's behavior. This paper introduces a method to change game environment by analyzing a user's game behavior. Game behavior data has been used to understand user's game preference. Also, the user's preference was used to provide more active game environment by reflecting decision of geographical features, items and distribution of NPC. For experiment of the suggested method, we utilized a real 2D action game and confirmed the game environment which changing properly according to the user's game play.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.1
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• pp.71-76
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• 2020

A battle royale game is a multiplayer video game genre that blends the survival and exploration with last-man-standing gameplay. The genre has been hot in recent years and the 'Player Unknown's Battleground' produced by Korean enterprise PUBG had been the hottest during 2017 and the first half of 2018. However, a similar battle royale game 'Fortnite' became the game of the year in 2018 and the Player Unknown's Battleground sustains the predominance only in Korea and China. In this paper, we investigate the game structure of those two games on combat, survival, farming and charging elements, We also conduct a user survey on what might be the weak point of the Player Unknown's Battleground and why they choose Fornite among users played both but currently play Fortnite. The result shows that the Player Unknown's Battleground sustains the advantage on battle elements but creative charging policy and the efficient survival elements are the reasons of choosing Fortnite between the two.

• Journal of Korea Game Society
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• v.21 no.5
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• pp.49-62
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• 2021

In the middle and late period of MMORPG, as more and more time and energies are repeatedly consumed due to Grinding, it is easy for the players to feel bored and quit the game. This paper mainly studies the differences in preferences of four types of players for MMORPG grinding types. Apart from that, SPSS software is used to make descriptive analysis, credibility analysis, and one-way analysis of variance on the 200 survey sample data. Based on the content of the experimental results, this study proposes an optimized design plan for MMORPG grinding from the perspective of player tendency.

• Asian Journal of Business Environment
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• v.10 no.2
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• pp.5-15
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• 2020

Purpose: This study examines the impact of individual reciprocal preferences on coalition formation. The reciprocal model considers a player's own payoff, the player's perception of others' payoffs, and others' perceptions of the player's payoff. Research design, data and methodology: A reciprocal model is built to illustrate how reciprocity influences individual decisions in a coalition game and its formation. The prediction is examined with experimental evidences from a dictator game and a membership game. Results: The theoretical result suggests that the coalition formation could be unstable due to negative reciprocal kindness. The experimental findings support that negative reciprocal kindness could lead players participating in a coalition, no matter their dominant strategies are. When subjects were essential to make contributions to a coalition, they were more likely to cooperate if they were treated badly. In contrast, when subjects were unnecessary, the reciprocal kindness could enhance cooperative tendencies. Conclusions: This study reveals that the reciprocal behavior could influence individual decisions and reshape the coalition formation. In terms of policy implications, this study has shown that coalition formation could be reshaped by reciprocal prefe rences. Due to the strategic and complicated decision process in an interactive environment, a comprehensive investigation of factors would be required in a climate coalition in practice.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.2
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• pp.167-177
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• 2022

Unlike previous studies on AI chatbot preference that focused mostly on satisfaction, this study considered both satisfaction and dissatisfaction. This study established that (1) AI chatbot preference is driven by attractive, must-be, and one-dimensional qualities, (2) AI chatbot need to develop service strategies by taking into account users' satisfaction and dissatisfaction in accordance with preference drivers, and (3) users view interaction as a requisite and thus, if they are not satisfied with services of a AI chatbot, they don't tend to appeal their opinion and leave the service with AI chatbot. This study emphasizes that a AI chatbot that desires to be a dominant market player must provide differentiated services according to the preference drivers and must continuously encourage user participation in order to improve service quality.

• The Journal of the Acoustical Society of Korea
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• v.23 no.6
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• pp.437-445
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• 2004

In this paper. we describe a novel method for transforming audio contents according to user's preference on sound field. Sound field effect technologies. which transform or simulate acoustic environments as user's preference, are very important for enlarging the reality of acoustic scene. However huge amount of computational power is required to process sound field effect in real time. so it is hard to implement this functionality at the portable audio devices such as MP3 player. In this paper, we propose an efficient method for providing sound field effect to audio contents independent of terminal's computational power through processing this functionality at the server using user's sound field preference, which is transfered from terminal side. To describe sound field preference, user can use perceptual acoustic parameters as well as the URI address of room impulse response signal. In addition, a novel fast convolution method is presented to implement a sound field effect engine as a result of convoluting with a room impulse response signal at the realtime application. and verified to be applicable to real-time applications through experiments. To verify the evidence of benefit of proposed method we performed two subjective listening tests about sound field descrimitive ability and preference on sound field processed sounds. The results showed that the proposed sound field preference can be applicable to the public.