Comparing Novel Recurrent Neural Networks with Artificial Neural Networks for Predicting Mental Depression from Online Video Gaming

P. Lakshmi, S. Kalaiarasi

2023

Abstract

The aim of this research was to enhance the accuracy in predicting mental depression in online gamers using the Novel Recurrent Neural Network, juxtaposed against the Artificial Neural Network algorithms. Data, sourced from various online platforms and supplemented with recent research findings, was scrutinised with a 95% confidence interval for mean and standard deviation, iterating the process 20 times. The Novel Recurrent Neural Network proved more accurate with a 94% precision rate, as opposed to the Artificial Neural Network's 91%. An Independent Sample T-test further corroborated the significant disparity in predictive abilities between the two, highlighted by a p-value of 0.00 (p<0.05). In conclusion, within the set constraints, the Novel Recurrent Neural Network offers a superior predictive capability for mental depression in online gamers.

Paper Citation

in Harvard Style

Lakshmi P. and Kalaiarasi S. (2023). Comparing Novel Recurrent Neural Networks with Artificial Neural Networks for Predicting Mental Depression from Online Video Gaming. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 128-132. DOI: 10.5220/0012598700003739

in Bibtex Style

@conference{ai4iot23,
author={P. Lakshmi and S. Kalaiarasi},
title={Comparing Novel Recurrent Neural Networks with Artificial Neural Networks for Predicting Mental Depression from Online Video Gaming},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={128-132},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012598700003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - Comparing Novel Recurrent Neural Networks with Artificial Neural Networks for Predicting Mental Depression from Online Video Gaming
SN - 978-989-758-661-3
AU - Lakshmi P.
AU - Kalaiarasi S.
PY - 2023
SP - 128
EP - 132
DO - 10.5220/0012598700003739
PB - SciTePress