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 …

A Bermuda triangle? A Review of method application and triangulation in user experience evaluation

I Pettersson, F Lachner, AK Frison, A Riener… - Proceedings of the 2018 …, 2018 - dl.acm.org
User experience (UX) evaluation is a growing field with diverse approaches. To understand
the development since previous meta-review efforts, we conducted a state-of-the-art review …

[КНИГА][B] Brain–computer interfaces handbook: technological and theoretical advances

CS Nam, A Nijholt, F Lotte - 2018 - books.google.com
Brain–Computer Interfaces Handbook: Technological and Theoretical Advances provides a
tutorial and an overview of the rich and multi-faceted world of Brain–Computer Interfaces …

Measuring cognitive load using eye tracking technology in visual computing

J Zagermann, U Pfeil, H Reiterer - Proceedings of the sixth workshop on …, 2016 - dl.acm.org
In this position paper we encourage the use of eye tracking measurements to investigate
users' cognitive load while interacting with a system. We start with an overview of how eye …

Modern machine-learning algorithms: for classifying cognitive and affective states from electroencephalography signals

A Appriou, A Cichocki, F Lotte - IEEE Systems, Man, and …, 2020 - ieeexplore.ieee.org
Estimating cognitive or affective states from brain signals is a key but challenging step in
creating passive brain-computer interface (BCI) applications. So far, estimating mental …

Chartdetective: Easy and accurate interactive data extraction from complex vector charts

D Masson, S Malacria, D Vogel, E Lank… - Proceedings of the 2023 …, 2023 - dl.acm.org
Extracting underlying data from rasterized charts is tedious and inaccurate; values might be
partially occluded or hard to distinguish, and the quality of the image limits the precision of …

Assessing the driver's current level of working memory load with high density functional near-infrared spectroscopy: A realistic driving simulator study

A Unni, K Ihme, M Jipp, JW Rieger - Frontiers in human neuroscience, 2017 - frontiersin.org
Cognitive overload or underload results in a decrease in human performance which may
result in fatal incidents while driving. We envision that driver assistive systems which adapt …

[HTML][HTML] Physiokit: An open-source, low-cost physiological computing toolkit for single-and multi-user studies

J Joshi, K Wang, Y Cho - Sensors, 2023 - mdpi.com
The proliferation of physiological sensors opens new opportunities to explore interactions,
conduct experiments and evaluate the user experience with continuous monitoring of bodily …

Understanding the impact of the reality-virtuality continuum on visual search using fixation-related potentials and eye tracking features

F Chiossi, U Gruenefeld, BJ Hou, J Newn… - Proceedings of the …, 2024 - dl.acm.org
While Mixed Reality allows the seamless blending of digital content in users' surroundings, it
is unclear if its fusion with physical information impacts users' perceptual and cognitive …

In ai we trust: Investigating the relationship between biosignals, trust and cognitive load in vr

K Gupta, R Hajika, YS Pai, A Duenser… - Proceedings of the 25th …, 2019 - dl.acm.org
Human trust is a psycho-physiological state that is difficult to measure, yet is becoming
increasingly important for the design of human-computer interactions. This paper explores if …