About this Research Topic
As artificial intelligence (AI) systems expand across diverse sectors such as transportation, entertainment, and customer interaction, their development encounters unique challenges. These systems often need testing under conditions that are either hard to replicate in the real world or involve substantial risks. The use of virtual and extended reality (XR) environments is proving to be crucial for testing and honing AI capabilities. These simulated realities offer a platform where AIs can interact dynamically within controlled, complex scenarios that mimic real-life situations. Additionally, the progress in XR technologies not only enhances the capability of these simulated environments but also propels innovations that could further improve and standardize these realms.
This Research Topic aims to advance AI performance through strategic utilization of XR worlds. We focus on expanding the role of XR worlds from merely hosting human training sessions to developing them as sophisticated environments for AI assessment and enhancement. Through rigorous exploration and inventive approaches, we seek to optimize the creation and application of XR worlds, thus enriching the AI systems trained within them.
This Research Topic will examine the creation and utilization of XR environments with specific attention to enhancing AI systems. In seeking a broader understanding and expansion of these technologies, our objectives include:
Exploring innovative methods for generating XR worlds.
Enhancing the realism and functionality of XR environments.
Establishing standards for XR creation that are accessible and consistent.
Demonstrating the efficacy of XR worlds as robust testing grounds for AI prototypes.
Investigating novel applications of XR in AI training and evaluation.
By fostering a multidisciplinary dialogue and inviting contributions that vary from theoretical advancements to practical applications, we hope to unlock new potentials in AI development through the strategic use of XR technologies.
This Research Topic aims to advance AI performance through strategic utilization of XR worlds. We focus on expanding the role of XR worlds from merely hosting human training sessions to developing them as sophisticated environments for AI assessment and enhancement. Through rigorous exploration and inventive approaches, we seek to optimize the creation and application of XR worlds, thus enriching the AI systems trained within them.
This Research Topic will examine the creation and utilization of XR environments with specific attention to enhancing AI systems. In seeking a broader understanding and expansion of these technologies, our objectives include:
Exploring innovative methods for generating XR worlds.
Enhancing the realism and functionality of XR environments.
Establishing standards for XR creation that are accessible and consistent.
Demonstrating the efficacy of XR worlds as robust testing grounds for AI prototypes.
Investigating novel applications of XR in AI training and evaluation.
By fostering a multidisciplinary dialogue and inviting contributions that vary from theoretical advancements to practical applications, we hope to unlock new potentials in AI development through the strategic use of XR technologies.
Keywords: Virtual Reality, Artificial Intelligence, Machine Learning, Synthetic Data, Simulation
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
