| Título | Definition of Emotional States Interval for Application of Artificial Intelligence and Stress Estimation |
|---|---|
| Autores | Scherz W.D. , PEREA RODRÍGUEZ, JUAN JOSÉ, Seepold R. , Ortega J.A. |
| Publicación externa | No |
| Medio | Lect. Notes Electr. Eng. |
| Alcance | Conference Paper |
| Naturaleza | Científica |
| Cuartil SJR | 4 |
| Web | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184095047&doi=10.1007%2f978-3-031-48121-5_48&partnerID=40&md5=b396733e6a1635d17c6221248274ebeb |
| Fecha de publicacion | 01/01/2024 |
| Scopus Id | 2-s2.0-85184095047 |
| DOI | 10.1007/978-3-031-48121-5_48 |
| Abstract | The perception of the amount of stress is subjective to every person, and the perception of it changes depending on many factors. One of the factors that has an impact on perceived stress is the emotional state. In this work, we compare the emotional state of 40 German driving students and present different partitions that can be advantageous for using artificial intelligence and classification. Like this, we evaluate the data quality and prepare for the specific use. The Stress Perceived Questionnaire (PSQ20) was employed to assess the level of stress experienced by individuals while participating in a driving simulation for 5 and 25 min. As a result of our analysis, we present a categorisation of various emotional states into intervals, comparing different classifications and facilitating a more straightforward implementation of artificial intelligence for classification purposes. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. |
| Palabras clave | Artificial intelligence; Behavioral research; Data quality; Driving; Driving simulation; Emotional state; Perceptions of IT; Stress estimation; Stress perceived questionnaire; Quality control |
| Miembros de la Universidad Loyola |