#mentalworkload — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #mentalworkload, aggregated by home.social.
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Un recente studio ha mostrato che il carico cognitivo e lo stress mentale variano a seconda dello spazio di lavoro.
In particolare, gli open-space tanto amati da molti datori di lavoro costringono il cervello a filtrare continuamente gli stimoli esterni a discapito delle prestazioni e dell'efficacia dei processi cognitivi.
Sarà arrivato il momento di ripensare agli spazi lavorativi?
https://www.rivistastudio.com/uffici-open-space-problemi/#work #workspace #spazi #lavoro #mentalworkload #caricocognitivo
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This year at #CCN2025 we will be showcasing our research on the classification of Mental Workload 🥵 Spatial Effects using Riemannian Manifold.
📅 When: Wednesday, August 13, 1:00 – 4:00 pm
📍 Where: CCN 2025 Conference Venue, de Brug & E-Hall
📋 What: Poster B152- It leverages advanced mathematical techniques to better understand and classify mental workloads, offering new insights into cognitive processes and potential applications in various fields such as neuroscience, psychology, and human-computer interaction.
- By utilizing Riemannian geometry, this research provides a robust framework for analyzing spatial effects in mental workload, paving the way for more accurate and efficient classification methods. This contribution not only advances our theoretical understanding but also has practical implications for improving mental workload assessment and management.
See you there! 🚀
https://laurentperrinet.github.io/publication/choplin-25-ccn/
👏 CNRS @cnrs - Aix-Marseille University - ONERA, The French Aerospace Lab CNRS
#CCN2025 #Mental #Workload #MentalWorkload #Riemannian #Manifold
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This year at #CCN2025 we will be showcasing our research on the classification of Mental Workload 🥵 Spatial Effects using Riemannian Manifold.
📅 When: Wednesday, August 13, 1:00 – 4:00 pm
📍 Where: CCN 2025 Conference Venue, de Brug & E-Hall
📋 What: Poster B152- It leverages advanced mathematical techniques to better understand and classify mental workloads, offering new insights into cognitive processes and potential applications in various fields such as neuroscience, psychology, and human-computer interaction.
- By utilizing Riemannian geometry, this research provides a robust framework for analyzing spatial effects in mental workload, paving the way for more accurate and efficient classification methods. This contribution not only advances our theoretical understanding but also has practical implications for improving mental workload assessment and management.
See you there! 🚀
https://laurentperrinet.github.io/publication/choplin-25-ccn/
👏 CNRS @cnrs - Aix-Marseille University - ONERA, The French Aerospace Lab CNRS
#CCN2025 #Mental #Workload #MentalWorkload #Riemannian #Manifold