Adding Intelligence to Virtual Reality

Applied Artificial Intelligence, 2000

"Yosh mutaxassislar" ilmiy-amaliy jurnali., 2023

Annotation: Artificial intelligence (AI) has the potential to revolutionize the way we experience virtual reality (VR). By using machine learning algorithms and other AI-powered techniques, developers can create VR experiences that are more immersive, interactive, and personalized. AI can be used to create intelligent avatars that can interact with users in real-time, recognize objects in VR environments, create more sophisticated chatbots, and detect and respond to user emotions in real-time. As AI technology continues to evolve, we can expect to see even more innovative and exciting applications of AI in VR.

2007

What makes virtual actors and objects in virtual environments seem real? How can the illusion of their reality be supported? What sorts of training or user-interface applications benefit from realistic user-environment interactions? These are some of the central questions that designers of virtual environments face. To be sure simulation realism is not necessarily the major, or even a required goal, of a virtual environment intended to communicate specific information. But for some applications in entertainment, marketing, or aspects of vehicle simulation training, realism is essential. The following chapters will examine how a sense of truly interacting with dynamic, intelligent agents may arise in users of virtual environments. These chapters are based on presentations at the London conference on Intelligent Motion and Interaction within a Virtual Environments which was held at University College, London, U.K., 15-17 September 2003.

Proceedings of Eurographics 2001 STARs, 2001

Tsinghua Science & Technology, 2011

Creating realistic virtual humans has been a challenging objective in computer science research for some time. This paper describes an integrated framework for modeling virtual humans with a high level of autonomy. The framework seeks to reproduce human-like believable behavior and movement in virtual humans in a virtual environment. The framework includes a visual and auditory information perception module, a decision network based behavior decision module, and a hierarchical autonomous motion control module. These cooperate to model realistic autonomous individual behavior for virtual humans in real-time interactive virtual environments. The framework was tested in a simulated virtual environment system to demonstrate the ability of the framework to create autonomous, perceptive and intelligent virtual humans in real-time virtual environments.

MCIS, 2018

Within a rather abstract computational framework Artificial Intelligence (AI) may be defined as intelligence exhibited by machines. In computer science, though, the field of AI research defines itself as the study of "intelligent agents." In this context, interaction with popular virtual environments, as for instance in virtual game playing, has gained a lot of focus recently in the sense that it provides innovative aspects of AI perception that did not occur to researchers until now. Such aspects are typically formed by the computational intelligent behavior captured through interaction with the virtual environment, as well as the study of graphic models and biologically inspired learning techniques, like, for instance, evolutionary computation, neural networks, and reinforcement learning. In this short survey paper, we attempt to provide an overview of the most recent research works on such novel, yet quite interesting, research domains. We feel that this topic forms an attractive candidate for fellow researchers that came into sight over the last years. Thus, we initiate our study by presenting a brief overview of our motivation and continue with some basic information on recent virtual graphic models utilization and the state-of-the-art on virtual environments, which constitutes two clearly identifiable components of the herein attempted summarization. We then continue, by briefly reviewing the interesting video games territory, and by discerning and discriminating its useful types, thus envisioning possible further utilization scenarios for the collected information. A short discussion on the identified trends and a couple of future research directions conclude the paper.

2018

Today, Artificial Intelligence (AI) used widely in data science and computer vision. It has proven to be state of the art algorithm for classification tasks. One of the tasks that Virtual reality often solves can be specified as object recognition or classification. These types of tasks benefit from automatic feature detector provided by convolutional neural networks (CNN). This article investigates and provides a practical guide on implementing AI methods for object recognition and skeleton recognition to show practical solutions on the given tasks for

Kamu Yönetimi ve Teknoloji Dergisi

Virtual reality (VR) and augmented reality (AR) have caused significant excitement, but Mixed reality (MR) offers an authentic experience beyond what they have are imagined and it takes this exciting experience to the next level. MR collides virtual data with natural objects, creating realistic physical and emotional interactions so that digital objects are positioned like natural objects in real environments and positioning takes place in real-time by aligning with real things. With the advent of Metaverse, the reality concepts are being redefined and highlighted by both businesses and academia. Apart from business value and high-tech aspects, Metaverse can include mystical, spiritual, and religious perspectives, as it is defined as a virtual and transitive structure in which we can exist by creating a duplicate of our existence in the physical world and its alternative. Through multidisciplinary analyzes and evaluations in this study, the possibility to provide not only the transition from the physical to the virtual, but also the transition from the virtual to the physical through transferring the data to the physical location, objects, or sensors is questioned.

This paper and the accompanying video, (which can be viewed at http://www.youtube.com/watch?v=hW_xLSzrHjQ) present the current findings of a project researching how computer games and their related technologies could be adapted to create virtual and mixed reality intelligent environments. After describing the developed strategy and the methods of deployment used by the project, a new research focus for the project is introduced. A new mechanism, still under development, aims to produce artificial intelligence controllers for human non-player character avatars, which would be usable within a virtual or mixed reality intelligent environment to provide an alternative to real people during evaluations.

2002

Abstract Virtual humans-autonomous agents that support face-to-face interaction in a variety of roles-can enrich interactive virtual worlds. Toward that end, the Mission Rehearsal Exercise project involves an ambitious integration of core technologies centered on a common representation of task knowledge.