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 …

Human mental workload: A survey and a novel inclusive definition

L Longo, CD Wickens, G Hancock… - Frontiers in …, 2022 - frontiersin.org
Human mental workload is arguably the most invoked multidimensional construct in Human
Factors and Ergonomics, getting momentum also in Neuroscience and Neuroergonomics …

Outlook on human-centric manufacturing towards Industry 5.0

Y Lu, H Zheng, S Chand, W Xia, Z Liu, X Xu… - Journal of Manufacturing …, 2022 - Elsevier
The recent shift to wellbeing, sustainability, and resilience under Industry 5.0 has prompted
formal discussions that manufacturing should be human-centric–placing the wellbeing of …

Context-aware online adaptation of mixed reality interfaces

D Lindlbauer, AM Feit, O Hilliges - Proceedings of the 32nd annual ACM …, 2019 - dl.acm.org
We present an optimization-based approach for Mixed Reality (MR) systems to automatically
control when and where applications are shown, and how much information they display …

The Index of Pupillary Activity: Measuring Cognitive Load vis-à-vis Task Difficulty with Pupil Oscillation

AT Duchowski, K Krejtz, I Krejtz, C Biele… - Proceedings of the …, 2018 - dl.acm.org
A novel eye-tracked measure of the frequency of pupil diameter oscillation is proposed for
capturing what is thought to be an indicator of cognitive load. The proposed metric, termed …

Using near infrared spectroscopy and heart rate variability to detect mental overload

G Durantin, JF Gagnon, S Tremblay, F Dehais - Behavioural brain research, 2014 - Elsevier
Mental workload is a key factor influencing the occurrence of human error, especially during
piloting and remotely operated vehicle (ROV) operations, where safety depends on the …

Using psycho-physiological measures to assess task difficulty in software development

T Fritz, A Begel, SC Müller, S Yigit-Elliott… - Proceedings of the 36th …, 2014 - dl.acm.org
Software developers make programming mistakes that cause serious bugs for their
customers. Existing work to detect problematic software focuses mainly on post hoc …

Human-robot teaming in construction: Evaluative safety training through the integration of immersive technologies and wearable physiological sensing

S Shayesteh, A Ojha, Y Liu, H Jebelli - Safety science, 2023 - Elsevier
Occupational safety has become a major issue in the construction industry over the years.
Studies have shown that work-related accidents are mostly caused by the unsafe behaviors …

[HTML][HTML] What multimodal data can tell us about the students' regulation of their learning process?

S Järvelä, J Malmberg, E Haataja, M Sobocinski… - Learning and …, 2021 - Elsevier
Highlights•New data-capturing devices allow researchers trace a range of cognitive and
noncognitive processes.•We discuss and demonstrate how by data triangulating it is …

[HTML][HTML] Consumer-grade EEG devices: are they usable for control tasks?

R Maskeliunas, R Damasevicius, I Martisius… - PeerJ, 2016 - peerj.com
We present the evaluation of two well-known, low-cost consumer-grade EEG devices: the
Emotiv EPOC and the Neurosky MindWave. Problems with using the consumer-grade EEG …