Conversational AI

Human is the inventor of Conversationers – modern conversation agents, replacing chatbots with powerful conversational skills.



Psycholinguistics (psychology of language) is study of language from a psychological perspective. Conversational AI is the application of psycholinguistic artificial intelligence.


We use cognitive processes to generate grammatical and meaningful sentences out of vocabulary and grammatical structures, as well as understand utterances, words, text, etc.


Our focus on cognitive psychology has meant ongoing research and development of AI associated with perception, thinking, memory, attention, language, problem-solving, and learning.


The outcome of our work in psycholinguistic AI means that we have developed a conversational technology that supports our AI Psychology and AI Psychotherapy solutions.

Are chatbots past their prime?

Level One: Chatbots
Level One chatbots were entirely developed by technologists looking to ‘solve the problem’ of talking with computers. The first iteration were one-dimensional, mechanistic, decision-tree tools working to a particular (formal) syntax using limited speech dictionaries.
 
Level Two: Chatbots
Enterprises wanted feedback (and ideas on new products / services) and started to use Natural Language Processing (NLP) as well as Dialog Management allowing follow-on questions.  This is an evolution of Level One (for example, the Decision Tree model at Level Two was already used in principle in Level One).
 
Level Three: chatbots
We now see AI and NLP technology understanding nuances and semantics.  This is free speech recognition; open-ended vocabulary (formal and informal); far-field (remote) sources; full transcription from any audio/video source, and able to deal with noise, echo, accents, disorganised speech, etc.
 
Level Four: conversation
You can expect generative conversation about anything (unrestricted contexts) by text and voice. At Level Four, conversation is omnidirectional (start a conversation by text through Telegram, follow it up in a box on a website, finish it by voice through a speaker).

For this to happen, it also needs the ability to build short- mid- and long-term memory.

Human Conversationers

The six traits of Human’s conversational ai

Our proprietary Conversationer technology is built around such concepts as user-centred conversation where we put the user at the centre of the discussion (a listening space) and helps them to orient themselves within a particular situation / issue.


The six traits of a Conversationer are:

    • Curious – putting the other party at the centre of the conversation; asking questions until the situation / issue is fully understood
    • Attentive – paraphrasing to demonstrate (and clarify) understanding
    • Truthful – being authentic and not faking it (don’t pretend to be human!)
    • Consistent – short- mid- and long-term memory of all conversations
    • Contextual – putting conversations into context
    • Helpful – reaching mutually satisfactory outcomes

People expect fluid conversations held in context, where meaningful answers are given.


Even the most succinct human-human conversation has tangents and sidenotes – they are a critical part of human communication.


However, chatbots historically have been completely unable to grasp this.


Conversationers are designed to understand 14 different psychological aspects to dynamically enrich conversations.

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