Artificial intelligence and virtual reality
In this first chapter of the “ VR 2024
Trends Special ” we will see the combined use of artificial
intelligence and virtual reality allowing companies to create new and
revolutionary rich and large-scale experiences.
Generative Artificial Intelligence (AI) is emerging as a revolutionary force in the virtual reality (VR) software industry, unlocking possibilities that were previously unimaginable. With its ability to dynamically create, adapt, and personalize content, this technology offers businesses the opportunity to deliver rich, personalized VR experiences at scale.
Generative AI refers to algorithms and models that
can generate new and unique data after learning from a training dataset. This
can include anything from creating realistic images and textures to generating
interactive dialogue and narratives. In VR, this capability translates into
richer virtual environments and characters or situations that adapt to user
interactions.
An exciting field is the development of NPCs (non-player
characters) that use generative AI to create more realistic and complex
interactions. These characters can respond to the user’s actions and emotions
in real time, offering dynamically generated responses and behaviors that
create the illusion of intelligence and consciousness. In practice, this means
that each interaction can be unique, as the AI is
designing the experience on the fly based on a set of learned rules and
parameters. For example, in corporate training, this can be used to simulate
difficult customer scenarios, allowing employees to practice their
communication and problem-solving skills in a controlled but realistic
environment.
Content personalization is also an area where generative AI
shows huge potential. By taking user information such as interests, past
behavior, and even facial expressions and tone of voice, AI can tailor the VR
experience to be more relevant and engaging. In education, this translates into
learning programs that adjust to a student’s level and learning style,
presenting information in a way that is most effective for them. For example,
if a student is struggling with a concept, generative AI can change the way the
information is presented or create new, more appropriate examples to facilitate
understanding.
In the area of entertainment
and gaming, generative AI is opening the door to narrative experiences that
adapt to the user’s behavior and decisions. Imagine a
VR game where the story and challenges change not only in response to the
player’s explicit actions but also to their
emotional state as detected by the system. If the player shows signs of
frustration, the AI could
alter the game’s difficulty or introduce narrative
elements designed to maintain interest and motivation.
Companies can capitalize on generative AI technology in VR
in multiple ways. From increasing productivity and efficiency in content
creation, to offering highly personalized products and services, to generating
valuable data on user interaction with the virtual environment. This last
application is particularly useful for research and development purposes, as
companies can gain a deeper understanding of user preferences and behaviors,
which in turn can inform the evolution of products and services.
In short, generative AI is expanding the horizon of what is
possible in VR software development. It provides businesses with a powerful
tool to create more immersive, personalized, and exciting experiences. With
each advancement in the field of generative AI, we are getting closer to a
future where VR experiences will be indistinguishable from reality, not just in
appearance but in reactivity and personalization.
