A survey on measuring cognitive workload in human-computer interaction

T Kosch, J Karolus, J Zagermann, H Reiterer… - ACM Computing …, 2023‏ - dl.acm.org
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 …

Review of eye tracking metrics involved in emotional and cognitive processes

V Skaramagkas, G Giannakakis… - IEEE Reviews in …, 2021‏ - ieeexplore.ieee.org
Eye behaviour provides valuable information revealing one's higher cognitive functions and
state of affect. Although eye tracking is gaining ground in the research community, it is not …

Measuring visual fatigue and cognitive load via eye tracking while learning with virtual reality head-mounted displays: A review

AD Souchet, S Philippe, D Lourdeaux… - International Journal of …, 2022‏ - Taylor & Francis
ABSTRACT Virtual Reality Head-Mounted Displays (HMDs) reached the consumer market
and are used for learning purposes. Risks regarding visual fatigue and high cognitive load …

The placebo effect of artificial intelligence in human–computer interaction

T Kosch, R Welsch, L Chuang, A Schmidt - ACM Transactions on …, 2023‏ - dl.acm.org
In medicine, patients can obtain real benefits from a sham treatment. These benefits are
known as the placebo effect. We report two experiments (Experiment I: N= 369; Experiment …

Evaluation of appearance-based methods and implications for gaze-based applications

X Zhang, Y Sugano, A Bulling - Proceedings of the 2019 CHI conference …, 2019‏ - dl.acm.org
Appearance-based gaze estimation methods that only require an off-the-shelf camera have
significantly improved but they are still not yet widely used in the human-computer …

Gaze-based interaction: A 30 year retrospective

AT Duchowski - Computers & Graphics, 2018‏ - Elsevier
Gaze-based interaction is reviewed, categorized within a taxonomy that splits interaction into
four forms, namely diagnostic (off-line measurement), active (selection, look to shoot) …

Cross-subject cognitive workload recognition based on EEG and deep domain adaptation

Y Zhou, P Wang, P Gong, F Wei, X Wen… - IEEE Transactions …, 2023‏ - ieeexplore.ieee.org
Regarding cognitive workload recognition (CWR), electroencephalography (EEG) signals
are nonstationary across time and vary from different subjects, thus hindering the cross …

Eye-tracking for performance evaluation and workload estimation in space telerobotic training

Y Guo, D Freer, F Deligianni… - IEEE Transactions on …, 2021‏ - ieeexplore.ieee.org
Monitoring the mental workload of operators is of paramount importance in space telerobotic
training and other teleoperation tasks. Instead of the estimation of task-specific workload …

[HTML][HTML] Comparing eye-tracking metrics of mental workload caused by NDRTs in semi-autonomous driving

W Chen, T Sawaragi, T Hiraoka - … research part F: traffic psychology and …, 2022‏ - Elsevier
The objective of this study was to verify the effectiveness of eye-tacking metrics in indicating
driver's mental workload in semi-autonomous driving when the driver is engaged in different …

Rethinking eye-blink: Assessing task difficulty through physiological representation of spontaneous blinking

Y Cho - Proceedings of the 2021 CHI conference on human …, 2021‏ - dl.acm.org
Continuous assessment of task difficulty and mental workload is essential in improving the
usability and accessibility of interactive systems. Eye tracking data has often been …