Cognitive Analyses for Interface Design Using Dual N-Back Tasks for Mental Workload (MWL) Evaluation
Bibliographic Data
| ID | 15469227 |
|---|---|
| Authors | Nancy Ivette Arana-De las Casas (0000-0003-3537-4515, Tecnológico Nacional de México, corresponding author), Jorge Rodríguez (0000-0003-1496-8410, Tecnológico Nacional de México), Aidé Aracely Maldonado-Macías (0000-0002-4959-161X, Tecnológico Nacional de México, corresponding author), David Sáenz-Zamarrón (0000-0002-5045-4997, Tecnológico Nacional de México) |
| Year | 2023 |
| Volume | 20 |
| Issue | 2 |
| Pages | 1184-1184 |
| Publication date | 2023-01-09 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph20021184 |
| PMID | 36673940 |
| OpenAlex | W4315486765 |
| Language | EN |
| Citations received | 2 |
| References cited | 3 |
In the manufacturing environments of today, human-machine systems are constituted with complex and advanced technology, which demands workers' considerable mental workload. This work aims to design and evaluate a Graphical User Interface developed to induce mental workload based on Dual N-Back tasks for further analysis of human performance. This study's contribution lies in developing proper cognitive analyses of the graphical user interface, identifying human error when the Dual N-Back tasks are presented in an interface, and seeking better user-system interaction. Hierarchical task analysis and the Task Analysis Method for Error Identification were used for the cognitive analysis. Ten subjects participated voluntarily in the study, answering the NASA-TLX questionnaire at the end of the task. The NASA-TLX results determined the subjective participants' mental workload proving that the subjects were induced to different levels of mental workload (Low, Medium, and High) based on the ANOVA statistical results using the mean scores obtained and cognitive analysis identified redesign opportunities for graphical user interface improvement
Cognition · Graphical user interface · Human error · Human–computer interaction · Interface (matter · Reliability engineering · Simulation · Task (project management · Task Analysis · User interface · Workload · Computer Science · Engineering · Human-Automation Interaction and Safety · Psychology · Space Exploration and Technology · Technology Assessment and Management
| Unique citing works | 2 |
|---|---|
| Citations per year | 1 |
| Citation span | 2024 - 2025 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |