The term "ChatterBot" was originally coined by Michael Mauldin (creator of the first Verbot, Julia) in 1994 to describe these conversational programs.[2] Today, most chatbots are accessed via virtual assistants such as Google Assistant and Amazon Alexa, via messaging apps such as Facebook Messenger or WeChat, or via individual organizations' apps and websites.[3][4] Chatbots can be classified into usage categories such as conversational commerce (e-commerce via chat), analytics, communication, customer support, design, developer tools, education, entertainment, finance, food, games, health, HR, marketing, news, personal, productivity, shopping, social, sports, travel and utilities.[5]


Please check out our main directory with 1376 live chat bot examples (an overview as maintained by developers themselves), our vendor listing with 256 chat bot companies and chat bot news section with already more than 370 articles! Our research tab contains lots of papers on chat bots, 1,166 journals on chat bots and 390 books on chat bots. This research section also shows which universities are active in the chat bot field, indicates which publishers are publishing journals on humanlike conversational AI and informs about academic events on chat bots. Also, check out our dedicated tab for awards, contest and games related to the chat bot field, various forums like our AI forum by chat bot enthusiasts and add any chat bot as created by yourself and your colleagues to our chat bot directory. Please do not forget to register to join us in these exciting times.
The word robot is derived from the Czech noun robota meaning “labor”, and is an accomplishment of the cubist painter and writer Josef Capek, older brother of novelist and playwright Karel Capek. The word robot first appeared in 1920 in the Karel Capek’s play “RUR” (“Rossum’s Universal Robots”) and since then this play popularized the word invented by playwright’s brother.[3]
AIML, Artificial Intelligence Markup Language developed by Richard Wallace, constitutes an open standard for creating your own chat bot. AIML file consists of row-type, database-style data combined with hierarchical XML data in each response. This video shows one of spreadsheet-style editors for AIML, Simple AIML Editor (SAE) developed by Adeena Mignogna. The SAE allows botmasters to manage large AIML sets and then zoom in on the templates to edit the responses.
24/7 digital support. An instant and always accessible assistant is assumed by the more and more digital consumer of the new era.[34] Unlike humans, chatbots once developed and installed don't have a limited workdays, holidays or weekends and are ready to attend queries at any hour of the day. It helps to the customer to avoid waiting of a company's agent to be available. Thus, the customer doesn't have to wait for the company executive to help them. This also lets companies keep an eye on the traffic during the non-working hours and reach out to them later.[41]

In one particularly striking example of how this rather limited bot has made a major impact, U-Report sent a poll to users in Liberia about whether teachers were coercing students into sex in exchange for better grades. Approximately 86% of the 13,000 Liberian children U-Report polled responded that their teachers were engaged in this despicable practice, which resulted in a collaborative project between UNICEF and Liberia’s Minister of Education to put an end to it.
The process of building, testing and deploying chatbots can be done on cloud-based chatbot development platforms[51] offered by cloud Platform as a Service (PaaS) providers such as Oracle Cloud Platform Yekaliva[47][28] and IBM Watson.[52][53][54] These cloud platforms provide Natural Language Processing, Artificial Intelligence and Mobile Backend as a Service for chatbot development.

“Beware though, bots have the illusion of simplicity on the front end but there are many hurdles to overcome to create a great experience. So much work to be done. Analytics, flow optimization, keeping up with ever changing platforms that have no standard. For deeper integrations and real commerce like Assist powers, you have error checking, integrations to APIs, routing and escalation to live human support, understanding NLP, no back buttons, no home button, etc etc. We have to unlearn everything we learned the past 20 years to create an amazing experience in this new browser.” — Shane Mac, CEO of Assist
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