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Facebook is among the leading networks for consumers to directly interact with their choice of brand. Over a billion people in a month use this platform to directly get in touch with businesses. A survey reveals that 56% of consumers would prefer any and all form of grievances to be addressed and solved via chat rather than telephonically. Furthermore, consumers expect the response time to be less than 5 minutes per grievance.
ELIZA's key method of operation (copied by chatbot designers ever since) involves the recognition of clue words or phrases in the input, and the output of corresponding pre-prepared or pre-programmed responses that can move the conversation forward in an apparently meaningful way (e.g. by responding to any input that contains the word 'MOTHER' with 'TELL ME MORE ABOUT YOUR FAMILY'). Thus an illusion of understanding is generated, even though the processing involved has been merely superficial. ELIZA showed that such an illusion is surprisingly easy to generate, because human judges are so ready to give the benefit of the doubt when conversational responses are capable of being interpreted as "intelligent".
Interface designers have come to appreciate that humans' readiness to interpret computer output as genuinely conversational—even when it is actually based on rather simple pattern-matching—can be exploited for useful purposes. Most people prefer to engage with programs that are human-like, and this gives chatbot-style techniques a potentially useful role in interactive systems that need to elicit information from users, as long as that information is relatively straightforward and falls into predictable categories. Thus, for example, online help systems can usefully employ chatbot techniques to identify the area of help that users require, potentially providing a "friendlier" interface than a more formal search or menu system. This sort of usage holds the prospect of moving chatbot technology from Weizenbaum's "shelf ... reserved for curios" to that marked "genuinely useful computational methods".
Certainly for Facebook, this is much more about extracting marketing dollars than it is about breaking new ground in software development. Because by studying user’s interactions with these bots, Facebook will continue to build their understanding of how consumers are interacting with brands and gain additional insight into what products they like and content they consume. That can only mean more value to marketers and thus more dollars for Facebook.
Evie's capacities go beyond mere verbal or textual interactions; the AI utilised in Evie also extends to controlling the timing and degree of facial expressions and movement. Her visually displayed reactions and emotions blend and vary in surprisingly complex ways, and a range of voices are delivered to your browser, along with lip synching information, to bring the avatar to life! Evie uses Flash if your browser supports it, but still works even without, thanks to our own Existor Avatar Player technology, allowing you to enjoy her to the full on iOS and Android.
Despite all efforts during almost half a century, most chatbots are still easily uncovered, but over the next decades they will definitely get smarter and finally we will distinguish human beings by them giving us silly answers as opposed to the much smarter chatbots. All of this will really start accelerating as soon as one single chatbot is smarter than one single human being. They will then be able to learn from each other, instead of learning from human beings, their knowledge will explode and they will be able to design even better learning mechanisms. In the long run, we will learn language from chatbots instead of the other way around.