@article{7e15dd4c59644721b4f2b30352853f25,
title = "Preface",
author = "Luca Longo and Leva, {Maria Chiara}",
note = "Funding Information: H-WORKLOAD 2021 was supported by the organizing committee within Technological University Dublin and M-Brain Train; It was also endorsed by the Irish Human Factors Society, the Federation of European Ergonomics societies and Apergo, (Associa{\c c}{\~a}o Portuguesa de Ergonomia). It contains a revision of the best papers presented at the symposium that were selected through a strict peer-review process. From the content of these research contributions, it is evident that a single, clear definition of mental workload applicable across all sectors and applications is still to be reached, demonstrating how the field is in a continuous state of evolution. This is confirmed by the different modeling approaches employed across contributions and the methodologies deployed for measuring it. However, one thing that can be confirmed across selected articles is that the ultimate goal of assessing mental workload is to predict its influence on human performance, and to find a way to support it in its several facets. For example, the keynote talk by Mark S. Young, is related to the problem of information underload and the search for a possible threshold in determining when the underload creates the issue of disconnecting from a task. The contribution highlights the difficulty of defining mental workload as a construct, and consequently also identifying critical states for underload and overload conditions.; 5th International Symposium on Human Mental Workload, Models and Applications, H-WORKLOAD 2021 ; Conference date: 24-11-2021 Through 26-11-2021",
year = "2021",
language = "English",
volume = "1493 CCIS",
pages = "v--vi",
journal = "Communications in Computer and Information Science",
issn = "1865-0929",
publisher = "Springer Science and Business Media Deutschland GmbH",
}