Chatbots Are Getting Smarter with Emotional Intelligence

Pratik Rupareliya
Chatbots Life
Published in
5 min readMay 24, 2017

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Artificial Intelligence (AI) is a reaction based technology, and AI based extremely dynamic conversational chatbots are the demand of this age. We are using voice-based chatbots (Siri, Alexa, and Google Home) and native chatbots (Slack or Facebook Messenger) in our routine life. The next move of Artificial Intelligence is far ahead than what we already have on the floor, that is Emotional Intelligence.

It sounds exciting, right! We feel good when people understand our emotions. Imagine a machine recognizes your mood and reacts accordingly. What do you feel? Yes, that’s something AI and Chatbot technologies up to.

So far, chatbots were incapable of understanding and responding to the user’s feelings due to lack of emotional intelligence. It is one of the most anticipated inventions that everyone is desperately waiting for. A few of the AI companies have launched the emotion based chatbots and are giving their hard efforts to make the bots more precise in terms of delivering the exact reaction for each emotion. While the rest is working on to evolve something robust than others using the potential of AI and machine learning.

Let’s get through how AI based emotional intelligence chatbots revolutionize the business landscape.

What Is Emotional Intelligence (EI)?

Emotional Intelligence is the ability of individuals to understand their own and other’s feelings, distinguish between various emotions and label them correctly, use the emotional information to guide behavior and thinking, and adjust and/or manage emotions in order to adapt environment or achieve one’s goals.

AI-based emotional intelligence chatbots are performing the same activities on behalf of the humans. It bifurcates human emotions into six categories that are happiness, anger, sadness, disgust, fear, and surprise. EI detects the emotional content and responds to the feelings appropriately during the chatbots conversation.

Integration of EI into AI based chatbots revolutionize our communication pattern. Especially, it improves the way organizations interact with the customers by receiving and delivering them sophisticated inputs.

Emotional Intelligence Chatbots: Modern Technique for Smart Organizations

Use of AI enabled chatbots is quite common for organizations. It boosts up capabilities of sales, support, technical or operational staff by enabling them to recognize consumer’s emotional state regarding the product and respond gracefully. Key takeaways of emotional intelligence chatbots for businesses are:

Personalized Interaction

Alexa and Siri are the latest AI chatbots companies are using. But, they are not delivering the accurate outputs. EI chatbots provide a next level interface. Organizations can improve their ability to share information, collaborate with internal and external resources, and address the needs of consumers before they even speak.

EI chatbots can gather the data with emotional responses, understand the unique needs of the users, and reply them with flawless intelligence. Sales and support staff can use such chatbots to have a brief understanding of the customer requirements and deliver the best suitable solution.

Mapping Out Expression

There are a few machine learning based programs like Affectiva’ first computer that allow organizations to recognize and learn consumer’s emotions using a camera or a webcam. It helps in identifying customer’s expressions as well as facial features and map them into relevant emotions such as anger, disgust, surprise, sadness, etc.

Robust Customer Services

It’s a more dynamic platform to interact with customers. They can easily and quickly share their complaint about the product, get the answer to their concerns, and settle the disputes. In the case of customer abuse, the EI chatbots remain unflappable and cater the clients with the right solution to diffuse the situation.

Applying the advanced intelligence, they immediately work around the customer’s concern and deliver the best as well as the long lasting solution. Thus, enterprises can provide greater customer services to without human intervention and errors.

Behavioral Analysis

AI based chatbot software like Cogito analyzes voice calls between agents and consumers. By introducing robotic agents, organizations can eliminate the human intervention. Some of the EI tools contain real-time speech reaction recognition algorithms to identify how humans talk. Later on, the solution transfers the knowledge into chatbots.

Greater Efficiency

Emotionally intelligent chatbots perform almost all the tasks that a professional can do. Well, they even don’t need the rest or a break. They can manage routine tasks along with data analysis and customer services. So, employees can perform their core competencies with extreme creativity and efficiency.

Improved Responsiveness

Intelligence based automated responses simplify the entire customer service process. EI chatbots analyze the problem and come up with the appropriate solution right away. Companies can stay ahead in the competition by serving the customers in real-time and enabling them with the best solutions.

Rapid Problem Solving

EI based chatbots are the best problem solvers, not because they come up with data supported results for the issues. They also customize the solution as per the emotional presence of the users. Moreover, they help professionals in identifying it is possible to fix the job immediately, or it will take time in order to implement more complicated and long term solution.

Introducing emotional intelligence chatbots in the business, companies can address the inefficiencies of phone centers. AI supported EI facilitates with endless growth opportunities by improving speed, efficiency, and accuracy.

Being passionate about the technologies, team Intuz always eager to explore and learn about the latest mobile, IT, and cloud updates. We try to merge different technologies in the mobile apps to enable clients with robust solutions that automate and simplify their business process in the most cost-effective way.

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