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    Mental Health And Wellness Chatbot

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    Author
    Beiley, Michael Rei
    Issue Date
    2019
    Advisor
    Obourn, Allison
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    This project is a mental health and wellness chatbot. Chatbots are computer applications that exchange messages with a human user. There are many ways to access chatbots, including Facebook, Twitter, smartphone apps, and messaging platforms such as Skype and Discord. These chatbots all follow a general formula. The user can send messages to the chatbot, and it responds with an appropriate message or action. This chatbot was built to run in Discord, a popular text and audio communication platform. Discord supports development of custom bots and was a natural choice for this project. This chatbot has several features, including mood responses, mood graphing, and a therapist search. Each of these features are designed to improve the general well-being of the chatbot users. The target demographic is adults who frequently use computers, since they are particularly vulnerable to mental health issues such as depression (Madhav, 2017). A user study was conducted to examine the user experience. Initial results indicate a positive user experience, but further studies are required to draw concrete conclusions about the chatbot and its efficacy.
    Type
    text
    Electronic Thesis
    Degree Name
    B.S.
    Degree Program
    Honors College
    Computer Science
    Degree Grantor
    University of Arizona
    Collections
    Honors Theses

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