A survey on measuring cognitive workload in human-computer interaction
The ever-increasing number of computing devices around us results in more and more
systems competing for our attention, making cognitive workload a crucial factor for the user …
systems competing for our attention, making cognitive workload a crucial factor for the user …
EEG-based brain-computer interfaces (BCIs): A survey of recent studies on signal sensing technologies and computational intelligence approaches and their …
Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact
with the environment. Recent advancements in technology and machine learning algorithms …
with the environment. Recent advancements in technology and machine learning algorithms …
Mental workload during n-back task—quantified in the prefrontal cortex using fNIRS
When interacting with technical systems, users experience mental workload. Particularly in
multitasking scenarios (eg, interacting with the car navigation system while driving) it is …
multitasking scenarios (eg, interacting with the car navigation system while driving) it is …
The effect of poor source code lexicon and readability on developers' cognitive load
It has been well documented that a large portion of the cost of any software lies in the time
spent by developers in understanding a program's source code before any changes can be …
spent by developers in understanding a program's source code before any changes can be …
Real-time state estimation in a flight simulator using fNIRS
Working memory is a key executive function for flying an aircraft. This function is particularly
critical when pilots have to recall series of air traffic control instructions. However, working …
critical when pilots have to recall series of air traffic control instructions. However, working …
Dynamic difficulty using brain metrics of workload
Dynamic difficulty adjustments can be used in human-computer systems in order to improve
user engagement and performance. In this paper, we use functional near-infrared …
user engagement and performance. In this paper, we use functional near-infrared …
[HTML][HTML] Physiological indicators of task demand, fatigue, and cognition in future digital manufacturing environments
Abstract As Digital Manufacturing transforms traditionally physical work into more system-
monitoring tasks, new methods are required for understanding people's mental workload …
monitoring tasks, new methods are required for understanding people's mental workload …
Electroencephalogram and physiological signal analysis for assessing flow in games
R Berta, F Bellotti, A De Gloria… - … Intelligence and AI …, 2013 - ieeexplore.ieee.org
Passive brain-computer interaction (BCI) can provide useful information to understand a
user's state and anticipate intentions, which is needed to support adaptivity and …
user's state and anticipate intentions, which is needed to support adaptivity and …
Toward workload-based adaptive automation: The utility of fNIRS for measuring load in multiple resources in the brain
LM Hirshfield, C Wickens, E Doherty… - … Journal of Human …, 2024 - Taylor & Francis
We investigate the utility of functional near-infrared spectroscopy (fNIRS) for workload-based
adaptive automation through the lens of multiple resource theory. We focus on the criteria of …
adaptive automation through the lens of multiple resource theory. We focus on the criteria of …
Using fNIRS brain sensing to evaluate information visualization interfaces
We show how brain sensing can lend insight to the evaluation of visual interfaces and
establish a role for fNIRS in visualization. Research suggests that the evaluation of visual …
establish a role for fNIRS in visualization. Research suggests that the evaluation of visual …