In our EuropaPrime experience, we have created a helpful assistant social bot.  This bot can answer any question about your specific location, the environment, the tasks to complete, and even offer advice on how to solve the puzzles (yet only helpful, it won’t solve them for you).  Additionally, users can choose from either a factual bot or a social bot, allowing customization to the preferences.

An exciting recent development of AI, is the ability to efficiently handle multiple languages, both on the text to speech and speech to text approaches.  Specifically in our training and learning experiences, we are now able to offer non-native english speakers the ability to ask questions or receive answers in their native language, thereby increasing their immersion, enjoyment, and expediting their learning.

In a special underwater observatory on the moon of Jupiter, we created an intelligent being that communicated through light pulses.  We created an AI algorithm that was able to receive player messages and choose a response based on user interactions and timing.

For the AugmentedEF neurodiversity research project, we used custom created Large Language Models (LLM) to identify on and off task behavior.  The core aim is to help students study more effectively, by identifying their behavior and choosing from an array of intervention methods if they become distracted.

The Mars society has a new initiative called the MTI (Mars Technology Institute).  We have created virtual characters that replicate real world people, sounding like them, and even mimicking nuances and inflections in their knowledge, tone and speech structure

For the AugmentedEF neurodiversity research project, we used custom created Large Language Models (LLM) to identify on and off task behavior.  The core aim is to help students study more effectively, by identifying their behavior and choosing from an array of intervention methods if they become distracted.

To create realistic body tracking for our magic mirror experience at the Seattle Space Needle, we leveraged AI to track the various joints of the human body.  We then take thost movements and replay them on a different virtual character, so that when users look into the mirror, they see an avatar version of themselves (either a Sasquatch or Astronaut)

 In the underwater world of Europa, we have created a new species of deep sea animal that resembles a jellyfish. These creatures tend to move together and essentially follow a hive-mind collective intelligence.  To achieve this goal, we crafted a follow-the-leader AI algorithm that makes the movements interesting and realistic

We used AI to improve interactions like the mimicry of movements of hairs on our sasquatch and legs of our octopus, so that as these creatures move, their body’s realistically respond to their environments.

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We also use AI to help create special drawing experiences.

One of our first implementations of AI, was when we applied virtual brains to cars, birds, trains, boats, and pedestrians.  This meant that if you experienced the application more than once, you would never have exactly the same experience.

For our driving simulator, we added a level of intelligence to our NPCs (non-player characters) like vehicles and people.  Each had a mission to accomplish, yet each had a mind of its own on how to accomplish that mission.  This leads to some very interesting and realistic scenarios, like people jaywalking, or cars following too closely.

For a special training module of our driving simulator, trainees must adapt to driving a bus amid a passing cycle race.  We implemented a special system that gave all cyclists the same goal, while also offering them the ability to have a nuanced perspective of adapting to their environment.