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 …

[HTML][HTML] A review of psychophysiological measures to assess cognitive states in real-world driving

M Lohani, BR Payne, DL Strayer - Frontiers in human neuroscience, 2019 - frontiersin.org
As driving functions become increasingly automated, motorists run the risk of becoming
cognitively removed from the driving process. Psychophysiological measures may provide …

A review, current challenges, and future possibilities on emotion recognition using machine learning and physiological signals

PJ Bota, C Wang, ALN Fred, HP Da Silva - IEEE access, 2019 - ieeexplore.ieee.org
The seminal work on Affective Computing in 1995 by Picard set the base for computing that
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …

Driving behavior analysis guidelines for intelligent transportation systems

MN Azadani, A Boukerche - IEEE transactions on intelligent …, 2021 - ieeexplore.ieee.org
The advent of in-vehicle networking systems as well as state-of-the-art sensors and
communication technologies have facilitated the collection of large volume and almost real …

Classifying driver workload using physiological and driving performance data: two field studies

ET Solovey, M Zec, EA Garcia Perez, B Reimer… - Proceedings of the …, 2014 - dl.acm.org
Understanding the driver's cognitive load is important for evaluating in-vehicle user
interfaces. This paper describes experiments to assess machine learning classification …

A model relating pupil diameter to mental workload and lighting conditions

B Pfleging, DK Fekety, A Schmidt, AL Kun - Proceedings of the 2016 CHI …, 2016 - dl.acm.org
In this paper, we present a proof-of-concept approach to estimating mental workload by
measuring the user's pupil diameter under various controlled lighting conditions. Knowing …

Cognitive heat: exploring the usage of thermal imaging to unobtrusively estimate cognitive load

Y Abdelrahman, E Velloso, T Dingler… - Proceedings of the …, 2017 - dl.acm.org
Current digital systems are largely blind to users' cognitive states. Systems that adapt to
users' states show great potential for augmenting cognition and for creating novel user …

From manual driving to automated driving: A review of 10 years of autoui

J Ayoub, F Zhou, S Bao, XJ Yang - Proceedings of the 11th international …, 2019 - dl.acm.org
This paper gives an overview of the ten-year development of the papers presented at the
International ACM Conference on Automotive User Interfaces and Interactive Vehicular …

Approaches, applications, and challenges in physiological emotion recognition—a tutorial overview

YS Can, B Mahesh, E André - Proceedings of the IEEE, 2023 - ieeexplore.ieee.org
An automatic emotion recognition system can serve as a fundamental framework for various
applications in daily life from monitoring emotional well-being to improving the quality of life …

Improving driver identification for the next-generation of in-vehicle software systems

A El Mekki, A Bouhoute… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper deals with driver identification and fingerprinting and its application for enhanced
driver profiling and car security in connected cars. We introduce a new driver identification …