Open AccessPersonalizing Chatbot Conversations with IBM Watson
Author(s) -
Kennedy Ralston
Publication year - 2019
Publication title -
inquiry@queen's undergraduate research conference proceedings
Language(s) - English
Resource type - Journals
ISSN - 2563-8912
DOI - 10.24908/iqurcp.13261
Subject(s) - watson , chatbot , computer science , ibm , personalization , human–computer interaction , world wide web , user interface , interactivity , multimedia , artificial intelligence , materials science , nanotechnology , operating system
Systems powered by artificial intelligence are being developed to communicate with users in a progressively “human-like” conversational way, in order to make them more user-friendly. Such systems are utilized across many industries including teaching, marketing, and health care, and are commonly made available to the public as interactive chatbots. It is important to explore new possibilities in development to make these systems more personalized to their users by improving and expanding their functionality and interactivity. This project delves further into this topic by creating a system that generates increasingly customized responses to user input. One crucial way to improve the functionality of an artificial intelligence system is by molding a personal profile of the user, which can be referenced by the system in order to respond to the user’s needs in an adaptive way based on their preferences. The project is focused on investigating packages that can be used to more effectively respond to the user’s mood, personality, and language, including IBM Watson Tone Analyzer, Watson Personality Insights, and Watson Language Translator. These packages are then utilized to work towards creating an intelligent, interactive system that can effectively fulfill the individual needs of its users.