Introduction
The development in Virtual Reality Games such as Cloudlands VR Minigolf, Firewall Zero Hour is changing the way we play games and socialize. If you are a fan of old-school games, developers may make our favorite classic games more fascinating using Artificial Intelligence. The following article comprises some predictions on the future of artificial intelligence in the gaming industry. We hope that you will surely love this article if you are a game enthusiast.
Hence, please fasten your seat belt, and let’s understand the futuristic presence of Artificial Intelligence in the gaming industry.
Text-to-Speech (TTS) and Synthetic Voices to create Spoken Dialogue
Big Budget Game developers have the resources to record voice for spoken dialogue. Some even hold auditions for voice-over artists, record scenes, and process the audio to give a personal touch. However, some development studios work on a tight budget, so it’s difficult for them to hire voice-over artists. Earlier, there wasn’t an affordable option for them to get dialogue into games on a large scale. Fortunately, Replica Studios, a synthetic voice company, came up with a perfect solution to this problem of small developers. They introduced Text-to-Speech and Synthetic Voices technology wherein you have to type in the text you want the synthetic voice to speak and include an emotion . Do you know what’s even better – you can’t figure out the difference between this voice and an actual human voice. Thus, we can say synthetic voices will be revolutionary in the game development industry soon.
Text-to-Speech, Synthetic Voices and Generative Neural Networks for Dynamic Dialogue
Just like Replica Studios (mentioned in point 1), we can predict that future games will employ dialogue systems that mimic real life. At present, most game developers hire writers to create a script and dialogues. However, in the future, this technology will allow players to walk up to a Non-Player Character and say anything they want rather than choosing from a random list of dialogue options. By using the speech-to-text model, the system will convert our speech into text. The system will then send that text for processing its explanation and emotion. Thereafter, a generative neural network will create the most appropriate Non-Player Character reaction based on its personality that has been programmed to mimic. The NPC response text would then convert into spoken dialogue. It would then playback to you, just like a normal conversation. However, NPC would act like chatbots but will be more intuitive and reactive.
Hand Tracking and Haptic Gloves in Virtual Reality Gaming
Presently, the games that need players to hold a weapon or a gun use hand tracking technology but this alone can’t make you feel the tension or vibration of having the object in your hand. In the future, we can expect to experience the best outcome by combining hand tracking technology with thin haptic gloves. The player can wear haptic gloves while playing the game to replicate the vibration and tension and give an immersive feel to their hand, like holding the weapon for real. We can expect to see more development of both haptic glove and hand tracking technology in the future of Artificial Intelligence in Gaming Industry.
Data Analytics is likely to shape Gameplay Mechanics and Level Design.
The video games Industry is giving importance to updates and patches. With Data Analytics, game developers can collect insights and adjust their games according to the preferences of their audience. Also, video game developers can make drastic changes even after they officially release.
Text and Sentiment Analysis in Video Game Feedbacks
In the video game industry, Text Analysis can study the feedback from various websites to understand what players think about a particular game and which areas to strengthen. Word frequency analysis collects the total frequency of all words and sees which words often appeared in the entire collection of reviews. Combining text analytics with sentiment analysis, we can see the best words for positive and negative feedback. This will allow the audience to point out which part needs further improvements. In addition to that, text analytics in reviews can be more useful when complemented with like ratings.
Conclusion
This is a thrilling time to watch the gaming industry develop gradually as AI continues to thrive in innovative ways. However, it is certain, if games are ever to achieve those immersive goals, AI makes it possible in the future.
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Thank You for reading!