To be or not to be in flow at work: physiological classification of flow using machine learning
The focal role of flow in promoting desirable outcomes in companies, such as increased
employees' well-being and performance, led scholars to study flow in the context of work …
employees' well-being and performance, led scholars to study flow in the context of work …
Are we in the zone? exploring the features and method of detecting simultaneous flow experiences based on eeg signals
When executing interdependent personal tasks for the team's purpose, simultaneous
individual flow (simultaneous flow) is the antecedent condition of achieving shared team …
individual flow (simultaneous flow) is the antecedent condition of achieving shared team …
Flow in human-robot collaboration—multimodal analysis and perceived challenge detection in industrial scenarios
Introduction: Flow state, the optimal experience resulting from the equilibrium between
perceived challenge and skill level, has been extensively studied in various domains …
perceived challenge and skill level, has been extensively studied in various domains …
Towards a Physiological Computing Infrastructure for Researching Students' Flow in Remote Learning: Preliminary Results from a Field Study
With the advent of physiological computing systems, new avenues are emerging for the field
of learning analytics related to the potential integration of physiological data. To this end, we …
of learning analytics related to the potential integration of physiological data. To this end, we …
[PDF][PDF] Using a General Prior Knowledge Graph to Improve Data-Driven Causal Network Learning.
We describe a method “Kg2Causal” for using a large-scale, general-purpose biomedical
knowledge graph as a prior for data-driven causal network structure learning. Given a set of …
knowledge graph as a prior for data-driven causal network structure learning. Given a set of …
Assessment of cognitive load from bio-potentials measured using wearable endosomatic device
Cognitive load is the amount of mental resources required to execute a task.
Psychophysiological researches show variations in the electrodermal activity of the skin with …
Psychophysiological researches show variations in the electrodermal activity of the skin with …
Physiological states and body postures can tell your flow experience——application of BP neural networks
J Chen, Z Li, S Ma, Z Yang, H Li - Multimedia Tools and Applications, 2024 - Springer
Accurately evaluating flow level is critical for game designers. In order to identify and
analyze the real-time flow experience without any intrusion, we proposed to use body …
analyze the real-time flow experience without any intrusion, we proposed to use body …
Voting-based integration algorithm improves causal network learning from interventional and observational data: An application to cell signaling network inference
In order to increase statistical power for learning a causal network, data are often pooled
from multiple observational and interventional experiments. However, if the direct effects of …
from multiple observational and interventional experiments. However, if the direct effects of …
Detecting Flow Experiences in Cognitive Tasks-A Neurophysiological Approach
MT Knierim - 2020 - publikationen.bibliothek.kit.edu
Das Flow-Erlebnis beschreibt einen Zustand vollständiger Aufgabenvertiefung und
mühelosen Handelns, der mit Höchstleistungen, persönlichem Wachstum, sowie …
mühelosen Handelns, der mit Höchstleistungen, persönlichem Wachstum, sowie …
[BUKU][B] Classification of EEG signals of user states in gaming using machine learning
C Mallapragada - 2018 - search.proquest.com
In this research, brain activity of user states was analyzed using machine learning
algorithms. When a user interacts with a computer-based system including playing computer …
algorithms. When a user interacts with a computer-based system including playing computer …