Yazin Akkawi recently wrote an interesting article, he explains why he believes chat-bot should integrate Emotional intelligence.
Texting and chatting have become so ingrained in our daily lives that, these days, most people get genuinely upset when they receive phone calls. The convenience of mobile communication has made us greedy about our time, and spending minutes on the phone for something that can be accomplished via text has become just downright offensive.
For that reason, marketers are now turning to messaging platforms to improve communication channels for sales and customer service conversations. In fact, a report by Twilio found that 9 out of 10 consumers want to use messaging to communicate with brands.
“[The] report highlights a growing divide between consumers and brands,” said Manav Khurana, VP of Product Marketing at Twilio. “Consumers message more than they call, email or even post on social media but businesses are still trying to reach them via the channels they no longer use. To keep up with consumers, brands must adopt messaging as a channel and begin communicating with customers in the same way people communicate with each other.”
As a result, chatbots have become one of the hottest marketing tools in 2017; helping marketers not only reach their audience, but do it at scale. Companies like United Airlines, Pizza Hut, Denny’s Diner, Focus Features, and Patrón, just to name a few, have implemented bots on social media to field customer.. (Click here to continue)
Today, real-time emotion synthesis output of the EPU representing the emotional state of the AI, chatbot or Robot at any time can be used as input to feed the neural network in real-time, allowing machine to finally possess Emotional intelligecne derived from real emotional states that can convince human.
Combining Intent, the emotional states of the EPU, Natural Language Generation (NLG) and WaveNet, is the pathway to the next generation of AI and Advance Affective Agent (AAA). Each intent or thought (chat bot or AI) will have an emotional property derived in real-time from the emotional state of the EPU allowing to dynamically generate the response and the emotional voice.