Measurement of trust in automation: A narrative review and reference guide

SC Kohn, EJ De Visser, E Wiese, YC Lee… - Frontiers in …, 2021 - frontiersin.org
With the rise of automated and autonomous agents, research examining Trust in Automation
(TiA) has attracted considerable attention over the last few decades. Trust is a rich and …

A systematic review of physiological signals based driver drowsiness detection systems

AA Saleem, HUR Siddiqui, MA Raza, F Rustam… - Cognitive …, 2023 - Springer
Driving a vehicle is a complex, multidimensional, and potentially risky activity demanding full
mobilization and utilization of physiological and cognitive abilities. Drowsiness, often caused …

Wearable devices: evolution and usage in remote patient monitoring system

T Sivani, S Mishra - Connected e-Health: Integrated IoT and Cloud …, 2022 - Springer
Technology has brought a lot of changes to mankind which made even the complicated
things easier. With the advancement of science and technology, machines have become …

Potential applications of mobile and wearable devices for psychological support during the COVID-19 pandemic: A review

K Ueafuea, C Boonnag, T Sudhawiyangkul… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
The coronavirus disease 19 (COVID-19) pandemic that has been raging in 2020 does affect
not only the physical state but also the mental health of the general population, particularly …

Developments in the human machine interface technologies and their applications: a review

HP Singh, P Kumar - Journal of medical engineering & technology, 2021 - Taylor & Francis
Human-machine interface (HMI) techniques use bioelectrical signals to gain real-time
synchronised communication between the human body and machine functioning. HMI …

Neuromarketing for a better understanding of consumer needs and emotions

E Gurgu, IA Gurgu, RBM Tonis - Independent Journal of …, 2020 - paulorodrigues.pro.br
In this paper we are talking about the fact that marketing and publicity specialists have
become aware of the limitations of traditional market research methods for decades, but only …

Review of wearable technologies and machine learning methodologies for systematic detection of mild traumatic brain injuries

W Schmid, Y Fan, T Chi, E Golanov… - Journal of neural …, 2021 - iopscience.iop.org
Mild traumatic brain injuries (mTBIs) are the most common type of brain injury. Timely
diagnosis of mTBI is crucial in making'go/no-go'decision in order to prevent repeated injury …

Affective state estimation based on Russell's model and physiological measurements

R Cittadini, C Tamantini, F Scotto di Luzio, C Lauretti… - Scientific reports, 2023 - nature.com
Affective states are psycho-physiological constructs connecting mental and physiological
processes. They can be represented in terms of arousal and valence according to the …

[HTML][HTML] Exploring biomarkers of mental flexibility in healthy aging: a computational psychometric study

F Borghesi, A Chirico, E Pedroli, GE Cipriani… - Sensors, 2023 - mdpi.com
Mental flexibility (MF) has long been defined as cognitive flexibility. Specifically, it has been
mainly studied within the executive functions domain. However, there has recently been …

Explainable artificial intelligence (XAI) in pain research: Understanding the role of electrodermal activity for automated pain recognition

P Gouverneur, F Li, K Shirahama, L Luebke… - Sensors, 2023 - mdpi.com
Artificial intelligence and especially deep learning methods have achieved outstanding
results for various applications in the past few years. Pain recognition is one of them, as …