The interfaces and user experience in Web3 tools are terrible

This lackluster experience for Web3 is losing the attention of as many users as desired, and with how fast the ecosystem moves

The interfaces and user experience in Web3 tools are terrible, even more so when compared to their Web2 counterparts. This lackluster experience for Web3 is losing the attention of as many users as desired, and with how fast the ecosystem moves, these shortcomings are rarely paid attention to.

AI agents can be an excellent tool to overcome these weaknesses. Their potential to improve development and user experience is remarkable, although it has yet to reach its real potential. Once combined with emotional AI, which will enable us to understand contexts beyond their programming, we will see a quantum leap from Web3 tools to ordinary users.

Web3’s learning curve is very steep

Consider your first interactions with a Web3 wallet — a scary, difficult experience. Many people fear that, at any moment, they could make a mistake, which could mean losing money. This situation can be less uncomfortable if we add agents with emotional AI that can guide new users and provide personalized support, keeping people at ease during their learning process.

If the first interaction with Web3 is seamless in this way, adoption could grow. A better user experience would be a win-win for the entire industry, which suffers from having few users. Reaching a level of adoption of a Web2 tool would be a win for the ecosystem.

Emotional AI companions would make everything easier

With the potential that emotional AI agents have, they would facilitate the experience of new users, and they could serve as personal assistants to interact with the rest of the Web3 tools in a more autonomous, personalized way.

Emotional AI agents could act as motivational coaches, providing continuous, personalized and empathetic accompaniment that enables them to connect deeply with their users and guide them in the best practices to avoid significant losses in Web3.

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These are just some of the most evaluated uses of Web3 today. The more applications it has in the future, the more potential is unlocked. Combining so much state-of-the-art technology, however, entails significant risks that must be considered in its development.

Implementing emotional AI in Web3 carries risks

Integrating emotional AI within the Web3 ecosystem could be very beneficial. Still, it must be considered that it entails risks that any AI has, plus what the use of Web3 implies. One of the most significant risks would be using personal information because, as an emotional AI, it will require more information from its users, which increases the danger of data leakage.

This same personalization could generate an unhealthy dependence on its emotional AI partner, so safeguards against this would have to be implemented. Even being so personalized, it will generate biased information, which will close the scope of the AI agent.

Considering the risks mentioned above, while the technology is still under development, by the time emotional AI agents launch, developers can forge the path to reduce these risks and implement all the benefits of this technology.

Emotional AI is the key to greater adoption of Web3

AI tools have become more widespread at a rate we have not seen since the launch of the internet. The speed of adoption is because AI tools have become straightforward tools to facilitate any task. The next step is emotional AI agents, which allow for closer AI companions who can provide better support.

As complicated as the Web3 industry is, if these emotional AI companions became the standard in the enterprise, all these tools would be available to any user. The Web3 adoption it would facilitate would be enormous, and all this value would be worth the risks.

Opinion by: Max Giammario, founder and CEO of Kindred.