An Integrated Neural Network and Structural Equation Modeling Approach for Modeling Activity Trackers Use

Ricardo Sol, Karolina Baras

2022

Abstract

The objective of this study is to enhance a Technology Acceptance Model (TAM) with an Artificial Neural Network (ANN) approach in order to obtain substantially accurate results when compared to Structural Equation Modeling (SEM). This study looked at another paper that created a TAM dedicated to activity trackers (AT) obtained via SEM from a questionnaire to 247 participants. This study uses the constructs of that paper in an ANN as the input units and the Root Mean Square of Errors to indicate that the ANN method achieves high prediction accuracy. The results provide conclusive evidence that Perceived Usefulness is the most significant factor affecting AT acceptance. Perceived Ease of Use and Image affect acceptance, however their impact is much lower. Hedonic Motivation and Habit were found to have a significant relationship with TAM while Self-Efficacy showed mixed results. This confirmation can be useful for future designs of activity trackers.

Paper Citation

in Harvard Style

Sol R. and Baras K. (2022). An Integrated Neural Network and Structural Equation Modeling Approach for Modeling Activity Trackers Use. In Proceedings of the 6th International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA, ISBN 978-989-758-609-5, pages 49-58. DOI: 10.5220/0011526600003323

in Bibtex Style

@conference{chira22,
author={Ricardo Sol and Karolina Baras},
title={An Integrated Neural Network and Structural Equation Modeling Approach for Modeling Activity Trackers Use},
booktitle={Proceedings of the 6th International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA,},
year={2022},
pages={49-58},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011526600003323},
isbn={978-989-758-609-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA,
TI - An Integrated Neural Network and Structural Equation Modeling Approach for Modeling Activity Trackers Use
SN - 978-989-758-609-5
AU - Sol R.
AU - Baras K.
PY - 2022
SP - 49
EP - 58
DO - 10.5220/0011526600003323