Ironically, it’s the human element that leads to one of the challenges with conversational AI. Human language is constantly evolving. And while AI conversation tools are meant to always learn, the changing nature of language can create misunderstandings.
For text-based virtual assistants, jargon, typos, slang, sarcasm, regional dialects and emoticons can all impact a conversational AI tool’s ability to understand.
For speech-based tools, background noise, accents and algeria phone number data connectivity issues can all lead to a user’s need to repeat information multiple times—which doesn’t result in a satisfying user experience.
User apprehension
We have all dialed “0” to reach a human agent, or typed “I’d like to talk to a person” when interacting with a bot. Not everyone is ready or wants to always have an AI conversation.
But a desire for a human conversation doesn’t need to squash the idea of adopting conversational AI tech. Rather, this is a sign to make conversations with a “robot assistant” more humanlike and seamless—a direction these tools are moving in. According to PwC, speed, convenience, helpful employees and friendly service matter most to consumers—all elements a well-trained AI virtual assistant can provide, while freeing your team to provide those qualities themselves.