research-article

Negative Information Measurement at AI Edge: A New Perspective for Mental Health Monitoring

Authors:

Yingying Jiang,

Zhongchun LiuAuthors Info & Claims

ACM Transactions on Internet Technology (TOIT), Volume 22, Issue 3

Article No.: 62, Pages 1 - 16

https://doi.org/10.1145/3471902

Published: 22 January 2022 Publication History

Abstract

The outbreak of the corona virus disease 2019 (COVID-19) has caused serious harm to people’s physical and mental health. Due to the serious situation of the epidemic, a lot of negative energy information increases people’s psychological burden. However, effective interventions against mental health problems are not in abundance. To address such challenges, in this article, we propose the concept of negative information to describe information that has a negative impact on people’s mental health. To achieve the measurement of negative information, the level of mental health inversely measures the degree of negative information. Specifically, we design a system to measure the negative information used to monitor the mental health state of the user under the impact of negative information. The cognition of mental health is realized based on the intelligent algorithm deployed on the edge cloud, and the needs of users can be responded to in real time in practical applications. Finally, we use real collected dataset to verify the influence of negative information. The experiments show that the system can achieve negative information measurement and provide an effective countermeasure for solving mental health problems during a pandemic situation.

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Cited By

Samtani SRaff EAnderson H(2024)Applied Machine Learning for Information SecurityDigital Threats: Research and Practice10.1145/36520295:1(1-5)Online publication date: 5-Apr-2024
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Yu QZhao NLi MLi ZWang HZhang WSui KPei D(2024)A survey on intelligent management of alerts and incidents in IT servicesJournal of Network and Computer Applications10.1016/j.jnca.2024.103842224:COnline publication date: 2-Jul-2024
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Index Terms

Negative Information Measurement at AI Edge: A New Perspective for Mental Health Monitoring
1. Applied computing
  1. Law, social and behavioral sciences
  2. Life and medical sciences
    1. Health informatics
2. Mathematics of computing
  1. Information theory
  2. Mathematical analysis

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Published In

cover image ACM Transactions on Internet Technology

ACM Transactions on Internet Technology Volume 22, Issue 3

August 2022

631 pages

ISSN:1533-5399

EISSN:1557-6051

DOI:10.1145/3498359

Editor:
Ling Liu
Georgia Institute of Technology, USA

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 January 2022

Accepted: 01 June 2021

Revised: 01 March 2021

Received: 01 October 2020

Published in TOIT Volume 22, Issue 3

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China National Natural Science Foundation
Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS)
Technology Innovation Project of Hubei Province of China

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Qu SZhao SLi BHe YCai XZhang LWang YTsafrir DMusuvathi MGupta RAbu-Ghazaleh N(2024)CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory AcceleratorsProceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 210.1145/3620665.3640359(185-200)Online publication date: 27-Apr-2024
https://dl.acm.org/doi/10.1145/3620665.3640359
Yu QZhao NLi MLi ZWang HZhang WSui KPei D(2024)A survey on intelligent management of alerts and incidents in IT servicesJournal of Network and Computer Applications10.1016/j.jnca.2024.103842224:COnline publication date: 2-Jul-2024
https://dl.acm.org/doi/10.1016/j.jnca.2024.103842
Chen X(2024)Intelligent Monitoring and Warning System for College Students’ Mental Health Based on Big Data TechnologyAdvances in Communication, Devices and Networking10.1007/978-981-97-6465-5_38(465-475)Online publication date: 21-Nov-2024
https://doi.org/10.1007/978-981-97-6465-5_38
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