A Comparative Study of Chatbot Catered Toward Mental Health

Pranto Dev, Sameeha Haque, Asmita Noor, Abir Alam Srabon, Mashruk Mohammed Wasik, Sumaiya Mim, Shadman Bin Sharife, Fariha Rahman, Syeda Rifa Syara, Shadab Iqbal, Md Humaion Kabir Mehedi, Annajiat Alim Rasel
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引用次数: 1

Abstract

The number of people suffering from severe de-pression has risen in recent years. The majority of patients are apprehensive about seeking counseling and are unwilling to open up. A chat bot might be a viable tool for involving customers in artificial intelligence-powered behavioral health therapies. Chat bots are artificial intelligence entities that answer to users in normal language, exactly like a person would. Social chat bots, in particular, are those that form a deep emotional bond with the user. We shall explore and compare such chat bots in this paper, as they play an important role in assisting patients with mental illness. The study will compare and contrast chat bots such as CARO, XiaoIce, DEPRA, PRERONA, and Eviebot, as well as their role in resolving the depression problem. The article will show how the different chat bots compare in terms of methodology, underlying algorithms, accuracy, population demographics, and limitations. Finally, the paper will provide a quick overview of chat bots' future advancements in this field. The therapeutic component, which determines a person's level of depression,l is also a priority.
面向心理健康的聊天机器人的比较研究
近年来,患有严重抑郁症的人数有所上升。大多数患者对寻求咨询感到担忧,不愿敞开心扉。聊天机器人可能是一种可行的工具,可以让客户参与人工智能驱动的行为健康疗法。聊天机器人是一种人工智能实体,可以像人一样用正常语言回答用户的问题。尤其是社交聊天机器人,它们能与用户形成深厚的情感纽带。我们将在本文中探索和比较这些聊天机器人,因为它们在帮助精神疾病患者方面发挥着重要作用。这项研究将比较和对比聊天机器人,如CARO、XiaoIce、DEPRA、PRERONA和Eviebot,以及它们在解决抑郁症问题方面的作用。本文将展示不同的聊天机器人在方法学、底层算法、准确性、人口统计和局限性方面的比较。最后,本文将快速概述聊天机器人在这一领域的未来发展。决定一个人抑郁程度的治疗成分也是优先考虑的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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