Dennis Opoku Boadu
Biographic Data
| ID | 6960322 |
|---|---|
| NAME | Dennis Opoku Boadu |
| GIVEN NAMES | Dennis Opoku |
| FAMILY NAME | Boadu |
| SIGNATURE | BOADU D O |
| AFFILIATIONS | University of Ghana |
| ORCID | 0009-0005-8220-4086 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Advancing human-computer interaction research through structural equation modelling
Purpose This paper addresses a methodological gap in Human-Computer Interaction (HCI) research by demonstrating how Partial Least Squares Structural Equation Modelling (PLS-SEM) can be used to analyse complex user behaviours, perceptions, and experiences in interactive systems, particularly within exploratory and user-centred research contexts. Design/methodology/approach The study situates PLS-SEM within HCI research and outlines practical steps…
Structural equation modelling in R
This paper compares two popular R packages for structural equation modelling (SEM) – lavaan and seminr – to help researchers understand not only how they work, but also when each is most appropriate. Although both tools allow users to estimate the same structural models, they are grounded in different methodological traditions and are designed to support different research goals. Using an identical model, we estimated results with both covariance…
Deep SEM
Structural Equation Modelling (SEM) has been widely applied in information systems, psychology, marketing, management, and other social science disciplines, providing a powerful framework for analysing relationships among latent variables. However, traditional SEM methods rely on assumptions of linearity and normality, which may limit their ability to represent complex or nonlinear data patterns. Recent advances in computational modelling have in…
Human–AI Interaction in isolated, confined, and extreme environments
Human activity is increasingly extending into environments marked by isolation, confinement, and extreme conditions, including long-duration space missions, polar research stations, intensive care units, and other high-risk settings. In these contexts, individuals must sustain performance and wellbeing under persistent cognitive, emotional, and social strain. Artificial intelligence (AI) systems are now deeply embedded in such environments, suppo…
No prominent works on this page.
Advancing human-computer interaction research through structural equation modelling
Purpose This paper addresses a methodological gap in Human-Computer Interaction (HCI) research by demonstrating how Partial Least Squares Structural Equation Modelling (PLS-SEM) can be used to analyse complex user behaviours, perceptions, and experiences in interactive systems, particularly within exploratory and user-centred research contexts. Design/methodology/approach The study situates PLS-SEM within HCI research and outlines practical steps…
Structural equation modelling in R
This paper compares two popular R packages for structural equation modelling (SEM) – lavaan and seminr – to help researchers understand not only how they work, but also when each is most appropriate. Although both tools allow users to estimate the same structural models, they are grounded in different methodological traditions and are designed to support different research goals. Using an identical model, we estimated results with both covariance…
Deep SEM
Structural Equation Modelling (SEM) has been widely applied in information systems, psychology, marketing, management, and other social science disciplines, providing a powerful framework for analysing relationships among latent variables. However, traditional SEM methods rely on assumptions of linearity and normality, which may limit their ability to represent complex or nonlinear data patterns. Recent advances in computational modelling have in…
Human–AI Interaction in isolated, confined, and extreme environments
Human activity is increasingly extending into environments marked by isolation, confinement, and extreme conditions, including long-duration space missions, polar research stations, intensive care units, and other high-risk settings. In these contexts, individuals must sustain performance and wellbeing under persistent cognitive, emotional, and social strain. Artificial intelligence (AI) systems are now deeply embedded in such environments, suppo…
Structural equation modeling (3 works) · Mental Health Research Topics (2 works) · Psychometric Methodologies and Testing (2 works) · Advanced Statistical Modeling Techniques (1 work) · Artificial neural network (1 work) · Attribution (1 work) · Cognition (1 work) · Context (archaeology (1 work) · Data Visualization and Analytics (1 work) · Deep learning (1 work)