How Mobile Personal Assistants Get User Experience To A New Level

In 2020, the number of digital voice assistants in use reached 4.2 billion. It’s predicted that in 2024 there will be more than 8.4 billion devices with voice assistants. Thanks to this tendency, the technology does not stand still and is rapidly developing. Therefore, new products are being released, offering a more sophisticated user experience.

Mobile users, in particular, are in favor of voice assistants. They’re three times more likely to use voice search, while 20% of mobile queries are done with speech search.

What is a new generation of mobile voice assistants going to offer to meet the increasing expectations and demands of consumers? Let’s look at one of the products that gets user experience to a new level.

It’s a personal mobile assistant that is able to answer calls and helps avoid missed ones. Moreover, it can protect a user’s device from fraud and spam. The technology developed by Neuro.net is unique as you don’t need to install the app — the voice assistant is offered by mobile service providers and is connected to their mobile core network.

Why the assistant is unique

Mobile assistant technology is based on machine learning. Its voice, dialogues and other features are almost indistinguishable in comparison with human characteristics. To achieve these similarities Neuro.net had to “teach” the voice assistant the following:

The AI-agent can answer calls in several scenarios. For instance, when the user:

The mobile assistant picks up the phone, introduces itself and asks a caller what he or she needs from the user. Then it checks if there is:

It detects ads and if they’re out of the user’s interests, the agent ends the call;

The assistant talks and questions a person, who wants to leave information for the user. The summary of the dialogue is stored and sent to the user’s messenger or mobile operator account;

The agent is taught to identify scammers. It records the conversation and warns the user about scam calls.

How training of the assistant is conducted

Unlike most virtual agents with synthesized speech, the mobile assistant developed by Neuro.net has emotional and natural human speech. Here is how it’s trained to maintain human conversations:

During the test run around ten thousand calls are needed, so the agent is trained to understand human speech with 95% accuracy. When this number is reached, it’s able to train by itself. The final version is ready in about two months after the project launch.

The future of voice assistants

Here are the key predictions of voice assistants features in the nearest future:

All contacts of the user can be added to the whitelist of the personal assistant. Thus, the agent will be able to use them during conversations.

The assistant will operate according to calendar notes. For instance, if a caller wants to adopt an appointment date, the agent will ask the user for permission. The user will only need to approve or reject the suggestion.

If the connection is lost during a conversation, the assistant informs a person on the other end, asks not to hang up or calls back after it’s restored. 

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