• Title/Summary/Keyword: 스마트폰 게임 과몰입

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The Impact of Young Children's Excessive Immersion in Smartphone Games on their Prosocial and Problematic Behavior (유아의 스마트폰 게임 과몰입 정도가 유아의 친사회적 행동 및 문제행동에 미치는 영향)

  • Cho, Jung-Jin;Cho, Anna
    • The Journal of the Korea Contents Association
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    • v.15 no.10
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    • pp.647-657
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    • 2015
  • The purpose of this study is to investigate how young children's excessive immersion in smartphone games affects their prosocial and problematic behavior. To achieve the purpose, a qustionnaire survey was conducted with 147 children aged 3 to 5 going to two kindergartens and two child-care centers which were judged to have similar social and economic conditions, their mothers, and 16 teachers in charge of them. For data processing, SPSS 18.0 program was used to conduct frequency analysis, correlation analysis, and simple regression analysis. The study results were presented as follows. First, the more seriously the young children had excessive immersion in smartphone games, the more negatively their prosocial behavior was influenced. Secondly, the more severely the young children had excessive immersion in smartphone games, the more problematic behavior the young children had. This study is meaningful in the point that it analyzed the impact of their addiction in smartphone games on their prosocial and problematic behavior, and thereby helped to improve a plan of effectively using smartphones as educational media.

Comparison of QEEG between EEG asymmetry and Coherehnce with elderly people according to smart_phone game Addiction Tendency (노인의 스마트 폰 게임 중독 경향에 따른 뇌파 비대칭(asymmetry)와 연결성(Coherehnce)의 정량화뇌파(QEEG) 비교 분석)

  • Weon, Hee Wook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.11
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    • pp.644-652
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    • 2017
  • The purpose of this study was to analyze the EEG according to the elderly's tendency to be addicted to smartphone games. We compared the effects of smartphone addiction on mental health such as brain waves, sleep problems and depression through comparative analysis of asymmetry and connectivity in quantitative EEG results. The study participants were two elderly people who were addicted to smartphone game and one elderly person who did not use smartphone (Ed- to confirm: only 3 participants?!). The participant's addiction tendency of smartphone was measured by using the smartphone addiction scale and EEG (QEEG) was used for EEG analysis. The results are as follows. First, the brain waves of elderly people and smartphone non-user elderly who showed symptoms of immersion and smartphone game showed a difference in asymmetry in both opening and closing anisles. Second, there were significant differences in the openness and the anxiety of the elderly who were immersed in the mobile phone and the elderly who did not use the smartphone. Through this, it is also meaningful to explore the relationship between senile cognitive impairment and smartphone use by exploring the effect of smartphone game use on brain cognitive function through comparison of EEG analysis.

Engagement classification algorithm based on ECG(electrocardiogram) response in competition and cooperation games (심전도 반응 기반 경쟁, 협동 게임 참여자의 몰입 판단 알고리즘 개발)

  • Lee, Jung-Nyun;Whang, Min-Cheol;Park, Sang-In;Hwang, Sung-Teac
    • Journal of Korea Game Society
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    • v.17 no.2
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    • pp.17-26
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    • 2017
  • Excessive use of the internet and smart phones have become a social issue. The level of engagement has both positive and negative effects such as good performance or indulgence phenomenon, respectively. This study was to develop an algorithm to determine the engagement state based on cardiovascular response. The participants were asked to play a pattern matching game and the experimental design was divided into cooperation and competition task to provide the level of engagement. The correlation between heart rate and amplitude was analyzed according to each task. The regression equation and accuracy were verified by polynomial regression analysis. The results showed that heart rate and amplitude were positively correlated when the task was a game, and negatively correlated when there was a reference task. The accuracy of classifying between game and reference task was 89%. The accuracy between tasks was confirmed to be 76.5%. This study is expected to be used to quantitatively evaluate the level of engagement in real time.

Case Study on Using Gamification as an Effective Marketing Strategy (효과적 마케팅 전략으로서 게이미피케이션 활용 사례 연구)

  • Doo, Kyungil
    • Journal of Digital Convergence
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    • v.18 no.2
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    • pp.395-401
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    • 2020
  • With the popularization of smartphones and the development of digital technologies, new concepts that maximize interactive communication have begun to appear in marketing strategies. One of them is the gamification marketing strategy that combines games with marketing that induces customer interest and voluntary participation. Gamification is a compound word of 'game' and '-fication', and marketing cases using game formats are being implemented in various fields. Therefore, this study will identify the implications of the usage of gamification that has become a trend, and analyze the gamification techniques and factors shown in various cases to suggest the direction of gamification as an effective marketing strategy. Companies are actively using gamification in their marketing strategies in a variety of forms and apply gamification techniques such as challenge, competition, accomplishment, reward, and relationship. As a result of the case analysis, important factors commonly identified in the gamification techniques used in marketing are 'Accomplishment' and 'Rreward'. Using various products and benefits obtained through solving a given mission or task as game elements, it was found to be an effective strategy to induce consumers' interest and participation and to promote consumption by encouraging consumers' immersion.

A Study on Factors of Internet Overdependence for Adults Using the Decision Tree Analysis Model (성인층의 인터넷 과의존 영향요인: 의사결정나무분석을 활용하여)

  • Seo, Hyung-Jun;Shin, Ji-Woong
    • Informatization Policy
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    • v.25 no.2
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    • pp.20-45
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    • 2018
  • This study aims to find the factors of Internet overdependence in adults, through the decision tree analysis model, which is a data mining method using National Information Society Agency's raw data from the survey on Internet overdependence in 2016. As a result of the decision tree analysis, a total 16 nodes of Internet overdependence risk groups were identified. The main predicated variables were the amount of time spent per smart media usage in weekdays; amount of time spent per smart media usage in weekends; experiences of purchasing cash items; percentage of using smart media for leisure; negative personality; percentage of using smart media for information search and utilization; and awareness on good functions of the Internet, all of which in order had greater impact on the risk groups. Users in the highest risk node spent the smart media for more than 5 minutes per use and less than 5~10 minutes in weekdays, had experiences of cash item purchase, and had lower level of awareness on the good functions of the Internet. The analysis led to the following recommendations: First, even a short-time use has higher chances of causing Internet overdependence, and therefore, guidelines need to be developed based on research on the usage behavior rather than the usage time. Second, self-regulation is required because factors that affect overindulgence in games, such as the cash items, increase Internet overdependence. Third, using the Internet for leisure causes higher risk of overdependence and therefore, other means of leisure should be recommended.