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
{"title":"A Comparative Study of Chatbot Catered Toward Mental Health","authors":"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","doi":"10.1109/IICAIET55139.2022.9936778","DOIUrl":null,"url":null,"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.","PeriodicalId":142482,"journal":{"name":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"184 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IICAIET55139.2022.9936778","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.