In previous articles we have discussed what a chatbot is, what its advantages and disadvantages are and how they work . Today we want to focus and show you why it is difficult for chatbots to maintain human-like conversations and why it is difficult to deal with natural language.
Needless to say, chatbots are one of the most complex applications of Artificial Intelligence (AI) as the solutions they offer are mostly different from each other.
What is expected from a Chatbot?
Typically, a company expects 3 things before acquiring a chatbot: a simple interface, the ability to work at 99% and the response time of any task they are expected to complete.
Not all chatbots meet expectations, and some have even annoyed users. Below we will analyze why some chatbots fail to offer a good, perfect , pleasant and efficient user experience.
Why some chatbots fail to meet your expectations?
Artificial Intelligence is not so smart
The vast majority of chatbots we can see are not really intelligent. They are created with a logical decision tree , i.e. where the answer given by the bot depends on the specific keyword indicated by the user's decision. These are the so-called RULED-BASED bots .
These types of bots will be as intelligent as the ability of the ivory coast email list person responsible for their creation to anticipate all potential user cases.
Little knowledge about chatbots
When new technologies appear on the market, all companies want to implement them or offer them first, but they have to be very careful because sometimes being first can be detrimental to us. First of all, we have to familiarize ourselves with the new tools and when we have fully mastered them, we will be able to offer a good product and service.
Over the past year we have seen a plethora of bots that are solving irrelevant situations or offering really poor experiences. That is why it is essential to master a tool or program before offering services that, if not implemented well, can harm a company.
When the first chatbots appeared on Facebook , the programs failed to fulfill 70% of user requests because the technology was not sufficiently developed; these requests could not have been managed without the help of humans.
In 2016, Facebook had around 30,000 active chatbots, but they were not working properly and were frustrating for users. This led Facebook to review these chatbots.
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