Research on Application of Artificial Intelligence in VR Games

Abstract

Purposed to promote the development of artificial intelligence (AI) technology in the game field, this article adopts the literature analysis method and the case study method, analyzes the problems with virtual reality (VR) games and explores several popular VR game cases in China and abroad before summarizing the artistic characteristics of VR games. Artificial intelligence technology has brought a new creative mode to the game industry, while providing more suitable game content for players. Further, artificial intelligence technology can equip VR games with better game experience by analyzing players’ physiological and psychological information as well as players’ game strategies. Compared with traditional games, VR games can deliver better interactivity, deeper immersion and higher fidelity. However, VR games impose higher requirements on device data and space scale; in other words, they must meet specific requirements to provide better game experience. VR games also have monotonous game types and high prices. In the future, the integration of VR games with artificial intelligence would generate more profound game-player experiences and richer game contents.

How to Use Artificial Intelligence to Improve Entrepreneurial Attitude in Business Simulation Games: Implications From a Quasi-Experiment

“…The current research on AI in BSGs is still relatively rare, but it is necessary to add AI to BSGs (Fuchsberger, 2016). As a new technology with high technology, interdisciplinary (Kuleto et al, 2021), wide application (Xi, 2020), strong adaptability and stability (Yang et al, 2021), its participation can promote development of learning styles in simulation games (Fuchsberger, 2016). AI is widely used in simulation environments (Rao et al, 2011;Lam et al, 2012), especially to play a guiding role in the simulation teaching of education, and has gradually developed in the direction of intelligent expert systems (Fuchsberger, 2016).…”

“…Artificial intelligence in games has attracted a lot of attention and learning provides an environment for AI to be applied in various fields of learning (Agung and Gaol, 2012). Integrating AI technology with the game industry will help enrich the content and form of games, meet players' higher pursuits and expectations for games, which promote the transformation and development of games (Xi, 2020). AI can also monitor the attention level and other mental states of participants throughout the process to understand the attractiveness of different game sessions, thereby optimizing the learning experience (Ferreira et al, 2021).…”

“…AI will provide unique and compelling experiences based on the situation of different participants, not limited to the goal of seeking maximum success for participants (Dreżewski and Solawa, 2021). What's more, AI can also detect the participants' breathing rate and other physical data to understand their adaptability to the game process, so as to achieve the goal of maximizing the physical and mental satisfaction of the participants (Xi, 2020). AI can provide the development and transformation of different scenarios according to the different characteristics of participants through the initial definition of conditions and continuous identification of the operating behavior of the system, which is conducive to the participants' immersive experience and promoting the flow experience (Bikovska et al, 2006).…”

“…The more different situations an AI accumulates, the more conducive it is to function (Bikovska et al, 2006). AI can also automatically correct mistakes and omissions in the game process based on participants' game data to continuously develop and improve game modes (Xi, 2020). At the same time, because it involves the monitoring of the entire game process, it is difficult to evaluate the real-time evaluation of the realization process of the game goal and the actual performance of the participants (Ferreira et al, 2021), which is also a problem that AI can help to solve.…”

The application of artificial intelligence assistant to deep learning in teachers' teaching and students' learning processes

“…The deep integration of AI technology and higher education has led to transformations in the role of university teachers. With continual reforms of teaching methods, students' ways of learning are also proliferating (Xi, 2020 ).…”