Building Emotionally Intelligent Apps with Sentiment AI

Mobile development companies are using sentiment AI in mobile applications so that AI can analyse the sentiments in the text, based on which it offers insights into market trends, customer opinions and employee satisfaction. Sentiment AI can identify the tone of the users when they ask queries. For example, sentiment AI can predict the tone of the message, whether it is negative, positive or neutral. It can understand emotions in the text and proactively suggest actions, which can contribute towards problem-solving. 

Businesses are able to manage relationships with customers by employing sentiment AI in mobile applications. It also allows them to optimise their business strategy, improve their services and products, enhance brand reputation and effectively manage customer interactions. Now that we understand what sentiment AI basically does, it’s time to understand how application development companies are building intelligent applications using this technology, which contributes to overall business success. So let’s dive right into the blog to understand why sentiment AI is changing the business dynamics.

Why Businesses Need Sentiment AI in Mobile Apps?

Sentiment AI in mobile applications works on artificial intelligence as it can analyse emotional cues coming from user text, voice, or facial expressions. The mobile applications take input from users in a variety of ways. It can be a text input, voice input or facial cues, based on which sentiment AI classifies emotions. Sentiment AI uses natural language processing, based on which it can detect sentiments from interviews, written messages, and human chats. 

Sentiment AI classifies the emotions in various categories like confused, sad, angry, happy, etc, based on the syntax, punctuation and word choice used by the consumers. When it comes to voice analysis, sentiment AI can evaluate the speed, pitch, tone and pauses taken in a sentence to detect the emotional state of the user. 

Voice analysis is a highly implemented AI application, especially in customer service bots and virtual assistants. Mobile apps also use computer vision technology, through which they can detect microexpressions and facial expressions of users. There are many mobile applications where sentiment AI is implemented, especially for facial recognition and facial sentiment analysis. Sentiment not only improves customer support but also enhances their engagement by creating a personalised and satisfying experience for users. Mental Health apps use Sentiment AI, which responds to human emotions and caters to their well-being by offering encouragement, empathy and resources based on what emotional cues it gets from the users.

Let’s Look at Some Emotionally Intelligent Interfaces. What Do They Look Like?

In mobile applications, the emotionally intelligent interfaces are digital landscapes which can sense, analyse and respond to human emotions effectively. The mobile application interfaces use sentiment analysis to detect voice, facial recognition, and behavioural signs so that it can adjust its responses based on what it perceives from users. It can understand what users feel as it detects positive and negative emotions in the tone of users and in their text.

• Some prominent examples of emotionally aware interfaces are learning applications. Even if you have not used such applications, it’s important to understand how sentiment AI works in mobile apps. 
• A student who learns from an e-learning application has to be attentive at the time of content delivery. When the sentiment AI senses confusion in students, it slows down the content delivery so that students can catch up with the study material. 
• In a similar manner, there are chatbots which work on artificial intelligence. They can detect user frustration, based on which they escalate the query to a real human agent. 
• Another example of sentiment AI in mobile apps is a wellness and health application. It offers music and calming visuals to users when they detect stress.

To Sum Up

To design an emotionally intelligent mobile application, you should build the app from an AI-first approach. You should keep transparency in the application so that users have an idea of how AI interprets their emotions. Mobile application development companies are ethically aware of how they need to obtain user consent to track their emotions in the application. Hence, they give complete control to users, where they can opt in or opt out of the emotion tracking feature enabled by sentiment AI in mobile apps. You can contact VerveLogic, a leading app development company in India, to create AI-integrated applications which can cater to a rapidly changing market.