• Journal of Korea Game Society
• /
• v.18 no.6
• /
• pp.131-142
• /
• 2018

As the gaming industry grows, the need to understand and study on game Addiction and overindulgence have also grown. For this object, in this study, the author first studied how game elements and game mechanisms were categorized by using previous studies. As a result, game elements are divided into three elements that compose visual, competitive, and probability elements. And the game mechanisms that establish three elements were grouped into subcategories. Risk of competitive and visual element that effect on overindulgence is depended on what mechanism has used. But, in the probability element, Gambling mechanism must be viewed in terms of addiction, not overindulgence.

• Asian Journal of Innovation and Policy
• /
• v.10 no.3
• /
• pp.274-293
• /
• 2021

Utilizing outside knowledge for innovation is an important task for companies in the competitive economy. Due to the rapid advance in the internet communication technology, the number and quality of innovation sourcing methods are increasing. We select co-creation, personalization and in-house R&D as the representative forms of innovation sourcing and suggest a game theory model that enables the comparative analysis between them. The decision and surplus outcome of the innovation mechanisms are compared under various settings of the input parameters of the model. The stakeholders voluntarily participate into all mechanisms when the product price is moderately high and the participation cost is low, while co-creation is the only feasible one when the product quality is niche. When the participation cost is relatively high, personalization outperforms co-creation.

• Korean Journal of Child Studies
• /
• v.24 no.3
• /
• pp.109-134
• /
• 2003

Playing online games is popular among adolescents and may contribute to such social issues as game addiction and cyber-delinquency. The present study conducted an ethnographic analysis that addressed basic descriptive questions around the social significance of online games. The main findings were that peer pressure plays an important role; that is, adolescents play the games to fulfill their need to occupy higher levels of cyber-status among game players and build special relationships. They like to make money and buy what they want with money earned from game item deals. Game scenarios and mechanisms play an important role in game addiction. Adolescents sometimes exhibit social delinquency in cyberspace or the real world. Thus, adolescents' needs, game addiction and cyber-delinquency are intertwined.

• International Journal of Contents
• /
• v.14 no.1
• /
• pp.12-17
• /
• 2018

This study explored potential therapeutic mechanisms of playing preferred online games as predictors of therapeutic interventions for players' psychosocial factors (i.e., aggression, depression, and loneliness). Based on theories of catharsis, the generic model of psychotherapy, we took a therapeutic approach to integrate these perspectives. We created a path model describing how therapeutic catharsis-seeking, online game self-efficacy, and life self-efficacy were associated with psychosocial factors of aggression, depression, and loneliness, including generalized sub-constructs of each factor as multi-dimensional sources. We analyzed the path model using data of 1,227 online game players in Korea. Our results indicated that therapeutic catharsis-seeking could alleviate aggression via favorite game playing. Life self-efficacy was a primary predictor for alleviating depression and loneliness. However, online game self-efficacy was positively associated with depression and loneliness. Implications of these findings are discussed.

• Journal of Korea Game Society
• /
• v.11 no.4
• /
• pp.15-26
• /
• 2011

Game level design is a collaborative work to create a virtual world for a computer game including maps, agents, monsters, objects, players and events based on predefined its game scenario. It is a promising collaborative design application. The game level design generally requires much time and cost, as the size of its target game space becomes huge. However, traditional game level design tools do not provide concurrency control mechanisms among multiple participating game designers. They do not provide consistency of undo and redo mechanisms for erroneous collaborative tasks during iterative modifications and updates of collaborative tasks among multiple designers. In this paper, we propose a concurrency control and a collaborative editing mechanism to enhance productivity of the collaborative game level design. The proposed system provides hierarchical structures of shared objects and a concurrency control mechanism for each object. The proposed system also provides a consistent undo and redo mechanism to enhance modifications and updates on intermediate results of the level design procedures.

• Journal of Korea Game Society
• /
• v.5 no.4
• /
• pp.33-38
• /
• 2005

In the online game that thousands of participants connect to a game world by using Internet simultaneously, participants of the game world may have different hardwares and network environments, and messages of participants should be synchronization. A solution for the synchronization problem is to wait for a certain amount of time until the server processes the message. It is not easy to determine a suitable waiting period because of the trade-off between the fairness and the responsiveness. In this paper we propose a method to decide a waiting period by considering features of the MMOFPS game and the probability of interaction among participants. We implement the proposed method and perform experiments for the performance evaluation.

• Journal of Communications and Networks
• /
• v.13 no.3
• /
• pp.266-276
• /
• 2011

In wireless networks, it is well-known that intermediate nodes can be used as cooperative relays to reduce the transmission energy required to reliably deliver a message to an intended destination. When the network is under a central authority, energy allocations and cooperative pairings can be assigned to optimize the overall energy efficiency of the network. In networks with autonomous selfish nodes, however, nodes may not be willing to expend energy to relay messages for others. This problem has been previously addressed through the development of extrinsic incentive mechanisms, e.g., virtual currency, or the insertion of altruistic nodes in the network to enforce cooperative behavior. This paper considers the problem of how selfish nodes can decide on an efficient energy allocation and endogenously form cooperative partnerships in wireless networks without extrinsic incentive mechanisms or altruistic nodes. Using tools from both cooperative and non-cooperative game theory, the three main contributions of this paper are (i) the development of Pareto-efficient cooperative energy allocations that can be agreed upon by selfish nodes, based on axiomatic bargaining techniques, (ii) the development of necessary and sufficient conditions under which "natural" cooperation is possible in systems with fading and non-fading channels without extrinsic incentive mechanisms or altruistic nodes, and (iii) the development of techniques to endogenously form cooperative partnerships without central control. Numerical results with orthogonal amplify-and-forward cooperation are also provided to quantify the energy efficiency of a wireless network with sources selfishly allocating transmission/relaying energy and endogenously forming cooperative partnerships with respect to a network with centrally optimized energy allocations and pairing assignments.

• The Journal of the Korea Contents Association
• /
• v.20 no.4
• /
• pp.77-85
• /
• 2020

This paper uses Preliminary Surveys of Game User Panels conducted in 2019 to examine how social relations that young game users held affect game use. In particular, we analyzed how social relations of youth affect adaptive and maladaptive usage of game. According to the statistical results, the quality of the relationship between users and parents and that of the relationship between users and their friends do not have consistent effects on the degree of adaptive and maladaptive game use. Also, the results suggests that game-related information can play as a double-edged sword for young game users by reinforcing the degree of adaptive and maladaptive game use. The results implies the possibility of interaction between adaptive and maladaptive game using behavior as an interpretative framework in social context rather than mutually exclusive mechanisms.

• Journal of Korea Game Society
• /
• v.12 no.4
• /
• pp.3-12
• /
• 2012

This study discusses how players make the mutually cooperative mechanism in Social Games. In SNG, many players exchange helps each other. That mechanism is not only one-off but also repetitive process. In the perspective of reciprocity in Evolutionary psychology and Mythology, this study analyzes mutual cooperation in several game texts most well known in the SNG field. According to the field study results, four cooperative mechanisms were extracted. These 4 principles apply to every digital game design for emerging of cooperative storytelling among players.

• Journal of Communications and Networks
• /
• v.18 no.3
• /
• pp.411-419
• /
• 2016

This article investigates the problem of distributed channel selection in opportunistic spectrum access networks from a perspective of interference minimization. The traditional physical (PHY)-layer interference model is for information theoretic analysis. When practical multiple access mechanisms are considered, the recently developed binary medium access control (MAC)-layer interference model in the previous work is more useful, in which the experienced interference of a user is defined as the number of competing users. However, the binary model is not accurate in mathematics analysis with poor achievable performance. Therefore, we propose a real-valued one called stochastic MAC-layer interference model, where the utility of a player is defined as a function of the aggregate weight of the stochastic interference of competing neighbors. Then, the distributed channel selection problem in the stochastic MAC-layer interference model is formulated as a weighted stochastic MAC-layer interference minimization game and we proved that the game is an exact potential game which exists one pure strategy Nash equilibrium point at least. By using the proposed stochastic learning-automata based uncoupled algorithm with heterogeneous learning parameter (SLA-H), we can achieve suboptimal convergence averagely and this result can be verified in the simulation. Moreover, the simulated results also prove that the proposed stochastic model can achieve higher throughput performance and faster convergence behavior than the binary one.