54 resultados para Adaptive game technology


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Video games have asserted themselves as a prevalent part of society; however video games are still often seen as 'boys toys'. However, popular culture is becoming accepting that video games are played by females, with 'all female' video games teams such as the 'Frag Dolls' winning many international competitions [4]. The gender issue in video games is not a new topic, with texts such as 'From Barbie to Mortal Combat' edited by Cassell and Jenkins being publishing in 1998. However, the question of 'do females actually play video games' is still apparent, and with the rapid changes in technological development in gaming (with the introduction of consoles such as the Nintendo Wii) the subject of females game playing habits is in need of constant dialogue. This paper explores the results from a survey of 33 Australian females who play video games and looks at the game playing habits and choices made when they play video games. In addition, this study will attempt to address what components of video games make females want to play. It is hoped that the results can enlighten our knowledge of why females play video games, and hopefully assert the need for video games as an important pastime for females and not just 'for the boys'.

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In a machine-to-machine network, the throughput performance plays a very important role. Recently, an attractive energy harvesting technology has shown great potential to the improvement of the network throughput, as it can provide consistent energy for wireless devices to transmit data. Motivated by that, an efficient energy harvesting-based medium access control (MAC) protocol is designed in this paper. In this protocol, different devices first harvest energy adaptively and then contend the transmission opportunities with energy level related priorities. Then, a new model is proposed to obtain the optimal throughput of the network, together with the corresponding hybrid differential evolution algorithm, where the involved variables are energy-harvesting time, contending time, and contending probability. Analytical and simulation results show that the network based on the proposed MAC protocol has greater throughput than that of the traditional methods. In addition, as expected, our scheme has less transmission delay, further enhancing its superiority.

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Sport consumer behavior (SCB) research continues to grow in both popularity and sophistication. A guiding principle in much of this research has focused on the nature of sport-related experiences and the benefits sport consumers derive from these experiences. This emphasis has generated new knowledge and insights into the needs and wants of sport consumers. Although these efforts have contributed to the field's understanding of SCB, the vast majority of this research has centered on psychological phenomena and the evaluative and affective components of these sport experiences. Approaches to this work have also narrowed, with SCB research predominately relying on cross-sectional studies and attitudinal surveys to collect information. This has resulted in limited findings that seldom account for how various situational or environmental factors might influence attitudinal data patterns at the individual and group level. This special issues seeks to deepen our understanding of SCB by providing seven papers that demonstrate or validate findings using multiple studies or data collections.

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The author and associated researchers have in previous projects adapted videogame technology for design in the context of architectural design education. This paper reflects on this body of research: the original motivations and aspirations; what threads may be productively revisited; how contemporary shifts to parametric design and building information modelling may be incorporated; and considers how some aspects of game play, in particular competition, may seed Interdisciplinary Design environments for Engineering and Architecture (IDeEA).

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This paper proposes using the Shapley values in allocating the total tail conditional expectation (TCE) to each business line (X j, j = 1, ... , n) when there are n correlated business lines. The joint distributions of X j and S (S = X1 + X2 + ⋯ + X n) are needed in the existing methods, but they are not required in the proposed method.

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Despite an extensive history of use in teaching Political Science subjects, long-term scholarly studies of online role plays are uncommon. This paper redresses that balance by presenting five years of data on the Middle East Politics Simulation. This online role play has been run since the 1990s and underwent significant technical upgrade in 2013-14. The data presented here covers student feedback to this upgrade process and the factors that can influence their response. Key indications are that students tend to recognise when something is fit (or not) for its purpose and will forgo attractive and well-appointed online environments if the underlying learning exercise is valued. However, there are limits to this minimalism and whilst designers do not need to replicate every Internet trend, attention needs to be paid to broader changes in technology, such as access platform and changing avenues of political communication. The study demonstrates that long-term monitoring of online role play exercises is important to allow informed changes to be implemented and their impacts properly assessed.

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One of the issues for tour planning applications is to adaptively provide personalized advices for different types of tourists and tour activities. This paper proposes a high level Petri Nets based approach to providing some level of adaptation by implementing adaptive navigation in a tour node space. The new model supports dynamic reordering or removal of tour nodes along a tour path; it supports multiple travel modes and incorporates multimodality within its tour planning logic to derive adaptive tour. Examples are given to demonstrate how to realize adaptive interfaces and personalization. Future directions are also discussed at the end of this paper.

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Device-to-Device (D2D) communication is a recently emerged disruptive technology for enhancing the performance of current cellular systems. To successfully implement D2D communications underlaying cellular networks, resource allocation to D2D links is a critical issue, which is far from trivial due to the mutual interference between D2D users and cellular users. Most of the existing resource allocation research for D2D communications has primarily focused on the intracell scenario while leaving the intercell settings not considered. In this paper, we investigate the resource allocation issue for intercell scenarios where a D2D link is located in the overlapping area of two neighboring cells. Specifically, We present three intercell D2D scenarios regarding the resource allocation problem. To address the problem, we develop a repeated game model under these scenarios. Distinct from existing works, we characterize the communication infrastructure, namely Base Stations (BSs), as players competing resource allocation quota from D2D demand, and we define the utility of each player as the payoff from both cellular and D2D communications using radio resources. We also propose a resource allocation algorithm and protocol based on the Nash equilibrium derivations. Numerical results indicate that the developed model not only significantly enhances the system performance including sum rate and sum rate gain, but also sheds lights on resource configurations for intercell D2D scenarios.