AI Chatbot: Application in Psychiatric Treatment and Suicide Prevention

Dharmapuri, Chandra Mohan; Agarwal, Ashutosh; Anwer, Faizan; Mahor, Jigyasa

doi:10.1109/mecon53876.2022.9752126

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…Since then, interest has grown particularly in the field of mental health (Abd-Alrazaq et al, 2019;Almalki & Azeez, 2020;Milne-Ives et al, 2020). While many focus on depression or anxiety (Ahmed et al, 2023), others address issues such as suicidal ideation (Dharmapuri et al, 2022), substance abuse (Prochaska et al, 2021) and PTSD (Han et al, 2023). Applications linked to mental health (Ly et al, 2017), self-love (Lee et al, 2019), consciousness (Kumar et al, 2023), and the standard of life (Valtolina & Charlie, 2021) are also included, in addition to those specifically relevant to mood disorders.…”

Section: Introductionmentioning

confidence: 99%

A survey of autonomous monitoring systems in mental health

Gopalakrishnan,

Gururajan,

Zhou

et al. 2024

WIREs Data Min & Knowl

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Smartphones and personal sensing technologies have made collecting data continuously and in real time feasible. The promise of pervasive sensing technologies in the realm of mental health has recently garnered increased attention. Using Artificial Intelligence methods, it is possible to forecast a person's emotional state based on contextual information such as their current location, movement patterns, and so on. As a result, conditions like anxiety, stress, depression, and others might be tracked automatically and in real‐time. The objective of this research was to survey the state‐of‐the‐art autonomous psychological health monitoring (APHM) approaches, including those that make use of sensor data, virtual chatbot communication, and artificial intelligence methods like Machine learning and deep learning algorithms. We discussed the main processing phases of APHM from the sensing layer to the application layer and an observation taxonomy deals with various observation devices, observation duration, and phenomena related to APHM. Our goal in this study includes research works pertaining to working of APHM to predict the various mental disorders and difficulties encountered by researchers working in this sector and potential application for future clinical use highlighted.This article is categorized under: Technologies > Machine Learning Technologies > Prediction Application Areas > Health Care

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Section: Introductionmentioning

confidence: 99%

A survey of autonomous monitoring systems in mental health

Gopalakrishnan,

Gururajan,

Zhou

et al. 2024

WIREs Data Min & Knowl

View full text Add to dashboard Cite

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Game-Stress-Tracker: EEG-Based Smart Advisor Bot for Stress Detection During Playing BGMI Game

Das,

Malick,

Dey

et al. 2023

Lecture Notes in Electrical Engineering

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Applications of Chatbots in Education

Ghayoomi

2023

Trends, Applications, and Challenges of Chatbot Technology

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This chapter mainly concerns the application of artificial intelligence (AI) based chatbots in education (in the general sense). Three general applications of such systems are studied: a) language learning, b) teaching a course, and c) assistive for educational purposes (in the narrow sense). There are advantages and disadvantages for using chatbots in education. Their interaction with the students, human-like conversation simulation, 24/7 availability, and easy accessibility are some of the key advantages of using AI-based chatbots in education. The main disadvantage of such systems is their knowledge-bases (KB) requirement. A KB plays as the brain of a chatbot. However, their development is labor intensive and expensive in terms of time and effort. In this chapter, the main research studies on chatbots for the educational domain are reviewed and general construction of a chatbot as well as the evaluation metrics of chatbots are explained; and the available chatbot tools and systems used in education, in the general sense, are collected.

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AI Chatbot: Application in Psychiatric Treatment and Suicide Prevention

Cited by 3 publications

References 16 publications

A survey of autonomous monitoring systems in mental health

A survey of autonomous monitoring systems in mental health

Game-Stress-Tracker: EEG-Based Smart Advisor Bot for Stress Detection During Playing BGMI Game

Applications of Chatbots in Education

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