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 …

Mental workload during n-back task—quantified in the prefrontal cortex using fNIRS

C Herff, D Heger, O Fortmann, J Hennrich… - Frontiers in human …, 2014 - frontiersin.org
When interacting with technical systems, users experience mental workload. Particularly in
multitasking scenarios (eg, interacting with the car navigation system while driving) it is …

Real-time state estimation in a flight simulator using fNIRS

T Gateau, G Durantin, F Lancelot, S Scannella… - PloS one, 2015 - journals.plos.org
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 …

In silico vs. Over the Clouds: On-the-Fly Mental State Estimation of Aircraft Pilots, Using a Functional Near Infrared Spectroscopy Based Passive-BCI

T Gateau, H Ayaz, F Dehais - Frontiers in human neuroscience, 2018 - frontiersin.org
There is growing interest for implementing tools to monitor cognitive performance in
naturalistic work and everyday life settings. The emerging field of research, known as …

Dynamic difficulty using brain metrics of workload

D Afergan, EM Peck, ET Solovey, A Jenkins… - Proceedings of the …, 2014 - dl.acm.org
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 …

Functional near-infrared spectroscopy in human-robot interaction

C Canning, M Scheutz - Journal of Human-Robot Interaction, 2013 - dl.acm.org
Functional near-infrared spectroscopy (fNIRS) is a promising new tool for research in human-
robot interaction (HRI). The technology has already been used for brain-robot interfaces to …

Using fNIRS brain sensing to evaluate information visualization interfaces

EMM Peck, BF Yuksel, A Ottley, RJK Jacob… - Proceedings of the …, 2013 - dl.acm.org
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 …

What we can and cannot (yet) do with functional near infrared spectroscopy

M Strait, M Scheutz - Frontiers in neuroscience, 2014 - frontiersin.org
Functional near infrared spectroscopy (NIRS) is a relatively new technique complimentary to
EEG for the development of brain-computer interfaces (BCIs). NIRS-based systems for …

Brainput: enhancing interactive systems with streaming fnirs brain input

E Solovey, P Schermerhorn, M Scheutz… - Proceedings of the …, 2012 - dl.acm.org
This paper describes the Brainput system, which learns to identify brain activity patterns
occurring during multitasking. It provides a continuous, supplemental input stream to an …

Understanding hci practices and challenges of experiment reporting with brain signals: Towards reproducibility and reuse

F Putze, S Putze, M Sagehorn, C Micek… - ACM Transactions on …, 2022 - dl.acm.org
In human-computer interaction (HCI), there has been a push towards open science, but to
date, this has not happened consistently for HCI research utilizing brain signals due to …