Literature Survey

1. Survey of the Existing Models/Work

Eliza – Eliza simulated conversation by using a pattern matching and substitution methodology that reposed to the user based on matching the scenario to its pre-trained scenarios. It gave users an illusion of understanding on the part of the program, but had no built in framework for contextualizing events. Brisbot: Brisbot is a chat bot for giving advice directly. Brisbot is loaded with hundreds of questions from kids, with answers written by counselors. Mitsuku – Mitsuku is a chatbot created using AIML. It learns on its own and thus can respond to things it hasn’t learned on but is limited to the rules and features it has been created with. Mitsuku won the 2013 and 2016 Loebner prize. Joy- Joy is a chat bot which takes care of your mental health. Joy sends daily check-ins, asking how you feel and what you did that day. Joy then uses your response to interpret your mood and respond appropriately. ChatGPT is an OpenAI based model, capable of creating fully researched and referenced written material from a simple or cvoice input. An example of the conversation skills of ChatGPT can be seen in this interview.

2. Summary/Gaps identified in the Survey

Most of the chatbots are retrieval based chat-bots so it can only respond to the things it knows about and it works on phrases so it can’t match anything beyond that. It has to be updated manually and can’t do it itself. Xen will be made particularly for managing the mental health and have its own intent classification based on which it shall make its suggestions and thus will be able to be updated and focused on certain areas. Eliza – Eliza gave users an illusion of understanding on the part of the program, but had no built-in framework for contextualizing events. Brisbot – Brisbot does not respond to open questions, instead the user will navigate through pre-programmed professional advice. Mitsuki – Mitsuki updates itself but is created with a generic objective of having a conversation and is limited to the rules and features it has been created with using AIML. Joy -Joy uses a generic corpus provided by IBM Watson and Microsoft LUIS to understand the intent and give responses.