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Abstract: "Computer based video games are receiving great interest as a means to learn and acquire new skills. As a novel approach to teaching navigation skills in the blind, we have developed Audio-based Environment Simulator (AbES); a virtual reality environment set within the context of a video game metaphor. Despite the fact that participants were naïve to the overall purpose of the software, we found that early blind users were able to acquire relevant information regarding the spatial layout of a previously unfamiliar building using audio based cues alone. This was confirmed by a series of behavioral performance tests designed to assess the transfer of acquired spatial information to a large-scale, real-world indoor navigation task. Furthermore, learning the spatial layout through a goal directed gaming strategy allowed for the mental manipulation of spatial information as evidenced by enhanced navigation performance when compared to an explicit route learning strategy. We conclude that the immersive and highly interactive nature of the software greatly engages the blind user to actively explore the virtual environment. This in turn generates an accurate sense of a large-scale three-dimensional space and facilitates the learning and transfer of navigation skills to the physical world."

from the introduction: "Collision avoidance and navigation among virtual agents is an important component of modern video games. Recent de- velopments in commodity hardware, in particular the utiliza- tion of multi-core and many-core architectures in personal computers and consoles are allowing large numbers of vir- tual agents to be incorporated into game levels in increasing numbers and with increasing fidelity. As a result, there is a need for efficient techniques to automatically generate real- istic behaviors for such groups of virtual agents"

Abstract: "Collision avoidance and multi-agent navigation is an important component of modern video games. Recent developments in commodity hardware, in particular the utilization of multi-core and many-core architectures in personal computers and consoles are allowing large numbers of virtual agents to be incorporated into game levels in increasing numbers. We present the hybrid reciprocal velocity obstacle and optimal reciprocal collision avoidance methods for reciprocal collision avoidance and navigation in video games and described their implementations in C++ as HRVO Library and RVO2 Library. The libraries can efficiently simulate groups of twenty-five to one thousand virtual agents in dense conditions and around moving and static obstacles."

To be published in May 2013, excepts in Google Books. "From the text adventures of Zork, to the arcade game of Pac-Man, to the corridors of Doom, and on to the city streets of Grand Theft Auto IV, the maze has often been used as a space to trap and confuse players in their navigation of gameworlds. However, the maze as a construction on the landscape has a long history before the invention of the videogame. By examining the change in the maze from the landscapes of open spaces and closed gardens through to the screen of the videogame, both mazes and labyrinths are discussed in terms of historical reference, alongside the author's personal experiences of walking and playing these structures. This book shows how our cultural experiences of real world maze landscapes may have changed, and how we negotiate videogame worlds along the various paths and meanings they so often create for us."

From the introduction: "In this paper, we focus on theorizing the design of digital games to support the learning of core scientific concepts and representational practices. Theoretically, we consider two frameworks: Knowledge in Pieces (or KiP) (diSessa 1993; Hammer 1996; Sherin 2001; Clark et al. 2009) and Science as Practice (or SaP) (Pickering 1995; Lehrer and Schauble 2006a; Duschl et al. 2007). While KiP is a theory about the structure of human knowledge, SaP is a theoretical perspective about the development of scientific expertise. Grounded in the history of science, SaP argues that the development of scientific concepts is deeply intertwined with the development of epistemic and representational practices (e.g., modeling). We report how these theoretical frameworks have shaped the design of our digital games for learning Newtonian dynamics across an extended design experiment. We show how shifting from KiP to SaP as the underlying theoretical anchor has ena bled a shift from designing games that focus on conceptual integration (Clark and Martinez-Garza 2012) to games that focus on disciplinary integration. Whereas conceptually integrated games integrate the targeted conceptual relationships directly into the mechanics of the core game environment, disciplinary integration extends conceptual integration by incorporating disciplinary practices as well as conceptual relationships into the mechanics of interacting with, manipulating, or navigating the core game environment. "

Abstract: "D video games are getting popular in the world with the availability of advanced graphic cards, high processing p ower computers, high speed internet and smart sensing devices ranging from general mouse to Microsoft Kinect. OpenGL is a popular graphics processing framework and it is being used by many famous 3D video game design software as the back end framework. In this paper we present our experience with OpenGL based C++ implementation of a 3D first person shooting game. 3D environment building, navigating, character animation, lighting, sound and shooting is described. Specially OpenGL based concepts are discussed for clear understanding of the concepts."

"A Slower Speed of Light is a first-person game prototype in which players navigate a 3D space while picking up orbs that reduce the speed of light in increments. Custom-built, open-source relativistic graphics code allows the speed of light in the game to approach the player's own maximum walking speed. Visual effects of special relativity gradually become apparent to the player, increasing the challenge of gameplay. These effects, rendered in realtime to vertex accuracy, include the Doppler effect (red- and blue-shifting of visible light, and the shifting of infrared and ultraviolet light into the visible spectrum); the searchlight effect (increased brightness in the direction of travel); time dilation (differences in the perceived passage of time from the player and the outside world); Lorentz transformation (warping of space at near-light speeds); and the runtime effect (the ability to see objects as they were in the past, due to the travel time of light). Players can choose to share their mastery and experience of the game through Twitter. A Slower Speed of Light combines accessible gameplay and a fantasy setting with theoretical and computational physics research to deliver an engaging and pedagogically rich experience."

Using a video game to orient incoming students to college offices and services and improve the game as a result of participant feedback.

From the abstract: "Traditionally, the tasks associated with game AI revolved around non player character (NPC) behavior at dierent levels of control, varying from navigation and pathnding to decision making. Commercial-standard games developed over the last 15 years and current game productions, however, suggest that the traditional challenges of game AI have been well addressed via the use of sophisticated AI approaches, not necessarily following or inspired by advances in academic practices. The marginal penetration of traditional academic game AI methods in industrial productions has been mainly due to the lack of constructive communication between academia and industry in the early days of academic game AI, and the inability of academic game AI to propose methods that would signicantly advance existing development processes or provide scalable solutions to real world problems. Recently, however, there has been a shift of research focus as the current plethora of AI uses in games is breaking the non-player character AI tradition. A number of those alternative AI uses have already shown a signicant potential for the design of better games. This paper presents four key game AI research areas that are currently reshaping the research roadmap in the game AI eld and evidently put the game AI term under a new perspective. These game AI agship research areas include the computational modeling of player experience, the procedural generation of content, the mining of player data on massive-scale and the alternative AI research foci for enhancing NPC capabilities."

from the abstract: "In this dissertation, a study of the serious games' validity for assessing the in-vehicle information systems ergonomics is presented. Results show that by using low-cost serious game it is possible to successfully predict the interactions' impact on driving performance. Moreover, the developed serious game obtained very promising driving performance approximations to a high fidelity driving simulator. This simulator was used, along with the serious game, to study the impact of two elementary tasks in the current in-vehicle information systems: read text and navigate menus manually. Both tasks affected significantly the vehicle's lateral control, and less significantly the longitudinal control. A final experiment was conducted to confirm the existence of the serious game influence over the behaviour of subjects. It was possible to observe that the game applied a positive impact to drivers' behaviour by improving their lateral and longitudinal control over the vehicle."