Diamond Park and Spline:Social Virtual Reality with 3D Animation, Spoken Interaction, and Runtime Extendability

Waters, Richard C.; Anderson, David; Barrus, John; Brogan, David C.; Casey, Michael A.; McKeown, Stephan G.; Nitta, T.; Sterns, Ilene B.; Yerazunis, William

doi:10.1162/pres.1997.6.4.461

Cited by 91 publications

(48 citation statements)

References 5 publications

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“…Some of the most well-known systems of this kind include DIVE [4], MASSIVE [22], NPSNET [3], SPLINE [5], and VLNET [23]. These systems focus on speciic applications to reduce the overall implementation complexity.…”

Section: Existing Game Engine Solutionsmentioning

confidence: 99%

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Game Engine Solutions

Zarrad¹

2018

Simulation and Gaming

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The rapid development of hardware and system platforms provides a favorable foundation for game development. A game engine overview is introduced irst. Then, key features and available solutions of game engines are discussed. Typical products of game engines are shown and evaluated. Finally, we summarize our indings.Keywords: game engine, game builder, 3D game, 2D game, engine architecture IntroductionGame engines are a new way to develop high-quality games easily and rapidly without needing intensive programming skills and computational resources. Today, there is growing interest in game engines due to the rapid development of hardware and system platforms.3D game engines help game companies reduce their cost, time, and manpower, since game developers can use the available functionalities of the engine. However, with over 100 engines available in the market for commercial and educational purposes, with a wide range of diverse features, each with its own performance levels, license types, and cost structures, selecting an appropriate game engine for a speciic purpose becomes a challenging problem.Game engine systems hit the headlines only a few years ago. Before the appearance of game engine technologies [1,2], existing systems were often developed as virtual augmented reality systems to handle speciic tasks such as NPSNET [3], DIVE [4], and SPLINE [5]. Thus, any modiication required a hard change in the programming environment and architecture. As game engine technology matures and becomes more lexible, implementing a 3D environment will become easier. Despite these improvements, programming skills remain a concern, and usually sabotage developers who want to create complex environments.© 2018 The Author(s). Licensee InTech. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.Game developers usually have advanced programming skills and often block the system from user manipulation or misuse, which further complicates the task. Most game engines are limited to speciic tasks and their features are typically coupled with speciic game characteristics. Thus, developing extensions or modiications that force a game engine to adopt a new class of applications is almost impossible. Recently, many techniques and programming approaches such as virtual reality modeling language (VRML) [6] [10] have been proposed to overcome the limitations, brought about by the interconnected gaming engine and development platform, to ofer a beter solution.In this chapter, we evaluate the latest released game engine from a variety of aspects like modularity, performance, usability, library, speed, and the realism. The readers will obtain an overview of game engine research, while becoming familiar with the recent developments and technologies in this area. Existing game engine solutionsAs technology moves forward, the need for mul...

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Section: Existing Game Engine Solutionsmentioning

confidence: 99%

“…Before the appearance of game engine technologies [1,2], existing systems were often developed as virtual augmented reality systems to handle speciic tasks such as NPSNET [3], DIVE [4], and SPLINE [5]. Thus, any modiication required a hard change in the programming environment and architecture.…”

Section: Introductionmentioning

confidence: 99%

Game Engine Solutions

Zarrad¹

2018

Simulation and Gaming

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“…Several other research conducted on systems involving small sized participants but focussed on clarity and rendering of visual objects for human perception such as RING [39], SPLINE [25], DIVE [19] and MASSIVE-1 [44]. Their goal is to maintain consistency in data across participants using replications or dead reckoning mechanisms (prediction technique based on object information such as position, speed and so on) and reduce bandwidth using several techniques (more on this explored in section 2.4.1).…”

Section: Stage 1 : Distributed Virtual Environmentsmentioning

confidence: 99%

Synchronised Range Queries

Suryanarayanan

Minson

Theodoropoulus

2009

2009 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications

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Computer simulations have been used more than ever before to embark on developing and understanding complex systems such as Multi-Agent Systems (MAS). MAS are complex, non-deterministic, data-centric behaviour and nature. Simulations play a key role for the designer of an agent based system to experiment and study the impact of different architectures, environment and agent behaviour. As MAS are increasingly used to solve larger and more complex problems, scalability becomes an important issue for the successful deployment. An emerging viable solution is adopting distributed simulation techniques in executing MAS models in parallel. One approach is to distribute the shared state (or environment) of a simulation model across available computing resources. Based on this approach, PDES-MAS (Parallel and Discrete Event Simulations for Multi-Agent System) framework is designed to execute large scale models such as MAS. It adopts PDES techniques to distribute and run parallel simulation of Multi-Agent Systems (MAS). Several challenges arise on executing MAS models on a distributed environment, of which one issue that requires focus is data access. Accessing data efficiently in a latency-sensitive and large scale network overlay is a vital requirement for the scalability of the system. Following PDES paradigm, it is also very important that events (accessing shared state) in a parallel and discrete event simulation system are processed in a non decreasing (logical) time stamp order. So, this thesis presents a notion of logical time synchronised range queries to access data and in particular within the PDES-MAS framework. To localise data access, this thesis also provides mechanisms to distribute shared state in an adaptive manner such that the distribution reflects access patterns of simulating nodes. The algorithms are evaluated within the implementation of PDES-MAS framework using various agent based simulation traces. ACKNOWLEDGEMENTS

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“…For example, the Reality Built for Two 4 , SPLINE 17 , NPSNET 10 , and DIVE 6 systems all have a notion of shared graphical objects and communication of state changes to those objects. Each of these projects takes a different approach to the distribution of initial object state, network topology, and collaboration paradigms, but all assume homogeneous client software.…”

Section: Prior Workmentioning

confidence: 99%