Multimodal Mental workload assessment from L0 to L5 automation: Towards a valid assessment method for L5
Rattachement africain : it, kr, au. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Mental workload is an important construct for understanding human cognitive states in conventional, automated, and highly automated vehicles. As vehicle automation progresses, the role of the human changes from active driving to supervision or passive use, which leads to different types of cognitive demands across different levels of automation. Existing approaches for assessing mental workload in automotive contexts have mainly relied on subjective questionnaires and, to a lesser extent, performance-based measures. While these methods have been widely used in conventional and partially automated driving, their suitability for highly automated environments is still under discussion, as the nature of human–vehicle interaction is changing. This workshop focuses on mental workload assessment in conventional, automated, and highly automated vehicles. It brings together researchers and practitioners to critically discuss current measurement approaches and their limitations, and to explore a broader set of assessment methods, including questionnaires, behavioral measures, and neurophysiological techniques. The aim is to create a shared understanding of how mental workload can be assessed across different levels of vehicle automation and to identify directions for improving existing evaluation methods and tools used in this field.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé, mais le titre doit être comparé manuellement.
- Titre Crossref
- Multimodal Mental workload assessment from L0 to L5 automation: Towards a valid assessment method for L5
- Date Crossref
- 19/09/2026
- Éditeur
- ACM
- Type
- proceedings-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Les institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.