Sometimes it is hard to discover if a conversational partner on the other end is a real person or a chatbot. In fact, it is getting harder as technology progresses. A well-known way to measure the chatbot intelligence in a more or less objective manner is the so-called Turing Test. This test determines how well a chatbot is capable of appearing like a real person by giving responses indistinguishable from a human’s response.
A chatbot is a computer program which conducts a conversation via auditory or textual methods. Such programs are often designed to convincingly simulate how a human would behave as a conversational partner, although as of 2019, they are far short of being able to pass the Turing test. Chatbots are typically used in dialog systems for various practical purposes including customer service or information acquisition. Some chatbots use sophisticated natural language processing systems, but many simpler ones scan for keywords within the input, then pull a reply with the most matching keywords, or the most similar wording pattern, from a database.
The term "ChatterBot" was originally coined by Michael Mauldin (creator of the first Verbot, Julia) in 1994 to describe these conversational programs. 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. 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.
Chatbot Eliza can be regarded as the ancestor and grandmother of the large chatbot family we have listed on our website. As you can see in our directory tab, there are hundreds of online chatbots available in the public domain, although we believe hundreds of thousands have been created by enthusiastic artificial intelligence amateurs on platforms such as Pandorabots, MyCyberTwin or Personality Forge AI. Most of these chatbots give similar responses, the default response, and it appears to take a long time and patience to train a chatbot in another field of expertise and not all amateur developers are willing to spend these vast amounts of time. Most of the chatbots created this way are no longer accessible. Only a small portion of fanatic botmasters manage to fight their way out of the crowd and get some visibility in the public domain.
Along with the continued development of our avatars, we are also investigating machine learning and deep learning techniques, and working on the creation of a short term memory for our bots. This will allow humans interacting with our AI to develop genuine human-like relationships with their bot; any personal information that is exchanged will be remembered by the bot and recalled in the correct context at the appropriate time. The bots will get to know their human companion, and utilise this knowledge to form warmer and more personal interactions.
A toolkit can be integral to getting started in building chatbots, so insert, BotKit. It gives a helping hand to developers making bots for Facebook Messenger, Slack, Twilio, and more. This BotKit can be used to create clever, conversational applications which map out the way that real humans speak. This essential detail differentiates from some of its other chatbot toolkit counterparts.
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.
Want to initiate the conversation with customers from your Facebook page rather than wait for them to come to you? Facebook lets you do that. You can load email addresses and phone numbers from your subscriber list into custom Facebook audiences. To discourage spam, Facebook charges a fee to use this service. You can then send a message directly from your page to the audience you created.
The first formal instantiation of a Turing Test for machine intelligence is a Loebner Prize and has been organized since 1991. In a typical setup, there are three areas: the computer area with typically 3-5 computers, each running a stand-alone version (i.e. not connected with the internet) of the participating chatbot, an area for the human judges, typically four persons, and another area for the ‘confederates’, typically 3-5 voluntary humans, dependent on the number of chatbot participants. The human judges, working on their own terminal separated from one another, engage in a conversation with a human or a computer through the terminal, not knowing whether they are connected to a computer or a human. Then, they simply start to interact. The organizing committee requires that conversations are restricted to a single topic. The task for the human judges is to recognize chatbot responses and distinguish them from conversations with humans. If the judges cannot reliably distinguish the chatbot from the human, the chatbot is said to have passed the test.
Conversable is the enterprise-class, SaaS platform that will build your bot with you. They work with a lot of Fortune 500 companies (they’re behind the Whole Foods, Pizza Hut, 7-11, and Dunkin Donuts bots, among others). They go beyond Facebook Messenger, and will make sure your conversations are happening across all channels, including voice-based ones (like, for instance, OnStar).