• International Journal of Advanced Culture Technology
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• 제8권1호
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• pp.157-164
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• 2020

The reinforcement of the token, which is based on the token economy currently applied in blockchain-based cryptography, plays a critical role in forming the cryptographic-related ecosystem. Therefore, in this paper, it was investigated the reinforcement principle of token supporting the Token economy for blockchain model. In order to create a healthy ecosystem based on the reinforcement system principle, it is necessary to find ways to secure scalability by seeking consensus between the participants and the market economy structure so that it can generate an influx of more participants than seeking to maximize profits of certain people. Desirable behavior is defined as an action required by ecosystem participants that have the property of making the token ecosystem sustainable, and to do so, each individual receives appropriate incentives (rewards) when taking this action, ultimately encouraging voluntary participation and action by all participants in the ecosystem to optimize the interests of both individuals and participants. The expected benefit of this study may contribute to the establishment of various business models based on the principle of the reinforcement system.

• 아동학회지
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• 제8권2호
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• pp.61-71
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• 1987

The effects of token and social reinforcement on inappropriate study behaviors of nursery school children were investigated. The subjects were three nursery school boys, and the target behaviors were : 1) out-of-seat behaviors, 2) bothering other children, and 3) disruptive behaviors. The ABAB(Reversal) design was used in this experiment. It consisted of four periods : baseline, reinforcement I, reversal, and reinforcement II. During the reinforcement period, social reinforcement as well as token reinforcement was applied. In all three subjects, inappropriate study behaviors decreased during the reinforcement periods (I, II), and increased during the reversal period, showing the effects of token and social reinforcement. The subjects showed stability in three post-experimental tests, indicating that modification of inappropriate study behaviors was being maintained.

• 로봇학회논문지
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• 제1권2호
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• pp.142-150
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• 2006

This study examines whether the reinforcement theory would be effectively applied to teaching assistant robots between a robot and a student in the same way as it is applied to teaching methods between a teacher and a student. Participants interact with a teaching assistant robot in a 3 (types of robots: positive reinforcement vs. negative reinforcement vs. both reinforcements) by 2 (types of participants: honor students vs. backward students), within-subject experiment. Three different types of robots, such as 'Ching-chan-ee' which gives 'positive reinforcement', 'Um-bul-ee' which gives 'negative reinforcement', and 'Sang-bul-ee' which gives both 'positive and negative reinforcement' are designed based on the reinforcement theory and the token reinforcement system. Participants' task performance and reaction rate are measured according to the types of robots and the types of participants. In task performance, the negative reinforcement robot is more effective than the other two types, but regarding the number of stimulus, the less the stimulus is, the more effective the task performance is. Also, participants showed the highest reaction rate on the negative reinforcement robot which implies that the negative reinforcement robot is most effective to motivate students. The findings demonstrate that the participants perceive the teaching assistant robot not as a toy but as a teaching assistant and the reinforcement interaction is important and effective for teaching assistant robots to motivate students. The results of this study can be implicated as an effective guideline to interaction design of teaching assistant robots.

• International Journal of Advanced Culture Technology
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• 제8권1호
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• pp.128-134
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• 2020

The purpose of this study is to investigate the role and function of tokens to form a healthy blockchain-based ecosystem. Tokens must be constructed in a way that enhances their desired behavior to grow into a healthy token economy. The actions required of ecosystem participants in designing tokens should enable each individual to receive appropriate incentives (rewards) and encourage voluntary participation in taking this action. Also, all ecosystem participants must design to make the token ecosystem self-sustainable by generating profits. For example, in Bitcoin's proof-of-work method, mining is designed as a desirable behavior. Token-based services should be designed to induce multiple engagements, to design penalties for undesirable behavior, and to take into account evolutionary development potentials. Besides, the economic value of the entire token ecosystem will increase if the value that is designed and designed to take into account the revolutionary Innovation Possibility is greater than the reward amount paid to tokens. This study will contribute to presenting relevant service model by presenting how to design tokens and criteria when establishing blockchain-based service model. Future research is needed to discover new facts through a detailed comparative analysis between Tokennomics models.

• 디자인학연구
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• 제20권3호
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• pp.97-106
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• 2007

본 연구는 교사의 교수 방식에서 효과적으로 사용되는 행동주의 학습이론 중 강화 이론이 교사 보조 로봇에도 효과적으로 적용되는지를 검토하는 데 그 목적이 있다. 피험자내 설계 실험(n=36)으로 성적유형에 따른 우등, 열등 피험자가 강화 유형에 따른 세 가지 로봇의 인터랙션(2*3)을 경험케 했다. 즉, 강화이론과 토큰강화 방식에 기초해 '정적 강화'를 제공하는 로봇('칭찬이'), '부적 강화'를 제공하는 로봇('엄벌이'), '정적 강화'와 '부적 강화'를 모두 제공하는 로봇('상벌이')의 인터랙션을 디자인하고 로봇유형과 피험자의 성적유형에 따른 학생들의 로봇에 대한 인상 및 선호도를 알아보았다. 결과적으로 학생들은 정적 강화를 제공하는 로봇을 가장 선호하고, 부적 강화를 제공하는 로봇을 가장 덜 선호함이 검증되었다. 또한, 강화의 자극을 디자인함에 있어서는 우등 학생에게 부적 강화를 제공하는 로봇에서 로봇이 주는 자극수가 낮을수록 로봇에 대한 긍정적 인상이 증가함을 알 수 있었다. 본 연구 결과는 강화 유형에 따른 학생들의 교사 보조 로봇에 대한 인상 및 선호도를 검증하며, 교사 보조 로봇의 인터랙션 디자인에 효과적인 가이드라인으로 적용될 수 있을 것으로 기대된다.

• Child Health Nursing Research
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• 제10권1호
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• pp.66-79
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• 2004

Purpose: The purpose of this study were to develop a respiratory communicable disease prevention program for preschoolers and measure it's effects. Method: The respiratory communicable disease prevention program for preschoolers consisted of texts, cartoons, photographs, discussions, demonstrations, puzzle games, die games, compensation/reinforcement, and token economy which were directed under the systematic design of instruction by Dick ％amp; Carey. This study was a quasi experimental study under the nonequivalent control group with pretest-posttest design. The subjects of this study were 45 preschool children who are attending 3 different district nursery schools and they were matched by the age, pretest knowledge, and pretest behavior. The instrument used in this study was criterion referenced test items that were developed by a researcher for evaluating the subject's knowledge, attitude, and behavior about respiratory communicable disease prevention. A pretest was administered a week before treatment. Experimental group Ⅰ was administered by the treatment of respiratory communicable disease prevention program. Experimental group Ⅱ was administered by above program with token economy program. The posttest was conducted on the eighth day. The third test for behavior was completed 15th day. To determine the effect of the program, the data were analyzed by the SAS 6.12 program with Kruskal Wallis test, ANCOVA, ANOVA, Duncan's test and paired t-test. Result: 1) There was a significant difference in knowledge between the experimental groups and control group(F=5.89, P=0.0197). 2) There was a significant difference in attitude between the experimental groups and control group(F=3.29, P=0.0469). 3) There was a non-significant difference in behavior between the experimental groups and control group(F=0.00, P=0.9512). 4) In the experimental groupⅡ, there was highly significant increase in behavior after token economy(t=4.5252, P=0.0005). Conclusion: It was found that the respiratory communicable disease prevention program for preschool children was effective in changing the preschoolers' knowledge and attitude on the respiratory communicable disease prevention, but not enough for changing the preschoolers' behavior. Token economy was improved as an effective and strong method for inducing desirable changes of preschoolers' behavior.