Serious games represent the state-of-the-art in the convergence of electronic gaming technologies with instructional design principles and pedagogies. Despite the value of high-fidelity content in engaging learners and providing realistic training environments, building games which deliver high levels of visual and functional realism is a complex, time consuming and expensive process. Therefore, commercial game engines, which provide a development environment and resources to more rapidly create high-fidelity virtual worlds, are increasingly used for serious as well as for entertainment applications. Towards this intention, the authors propose a new framework for the selection of game engines for serious applications and sets out five elements for analysis of engines in order to create a benchmarking approach to the validation of game engine selection. Selection criteria for game engines and the choice of platform for Serious Games are substantially different from entertainment games, as Serious Games have very different objectives, emphases and technical requirements. In particular, the convergence of training simulators with serious games, made possible by increasing hardware rendering capacity is enabling the creation of high-fidelity serious games, which challenge existing instructional approaches. This paper overviews several game engines that are suitable for high-fidelity serious games, using the proposed framework.
Abstract-Serious games represent the state-of-the-art in the convergence of electronic gaming technologies with instructional design principles and pedagogies. Whilst the selection criteria for entertainment game engines are often transparent, due to the range of available platforms and engines an emerging challenge is the choice of platform for serious games, whose selection often has substantially different objectives and technical requirements depending upon context and usage. Additionally, the convergence of training simulations with serious gaming, made possible by increasing hardware rendering capacity, is enabling the creation of high-fidelity serious games which challenge existing design and instructional approaches. This paper highlights some of the differences between the technical requisites of high-fidelity serious and leisure games, and proposes a selection methodology based upon these emergent characteristics. The case study of part of a high-fidelity model of Ancient Rome is used to compare aspects of the four different game engines according to elements defined in the proposed methodology.
This paper investigates a range of challenges faced in the design of a serious game aimed at teaching history in situ, through the use of an immersive, open virtual environment. In the context of this paper, such an environment is described as an exploratory, expansive virtual world within which a user may interact in a non-linear and situated fashion with the virtual characters that populate it. The main contribution of this paper consists of the introduction of the Levels of Interaction (LoI) framework, designed to assist in the creation of multiple forms of interaction between a user-driven avatar and synthetic characters. The LoI approach addresses the necessity for balancing computational efficiency with the need to provide believable and interactive virtual characters, allowing varying degrees of visual, interactive and behavioural fidelity. The Roma Nova project demonstrates a first implementation of the concept, showing in practice how the LoI are likely to foster more natural interactions between the player and the non-playing characters.
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