[HTML][HTML] Aviation and neurophysiology: A systematic review
This paper systematically reviews 20 years of publications (N= 54) on aviation and
neurophysiology. The main goal is to provide an account of neurophysiological changes …
neurophysiology. The main goal is to provide an account of neurophysiological changes …
Self-supervised learning for electroencephalography
Decades of research have shown machine learning superiority in discovering highly
nonlinear patterns embedded in electroencephalography (EEG) records compared with …
nonlinear patterns embedded in electroencephalography (EEG) records compared with …
[HTML][HTML] Optical brain imaging and its application to neurofeedback
Besides passive recording of brain electric or magnetic activity, also non-ionizing
electromagnetic or optical radiation can be used for real-time brain imaging. Here, changes …
electromagnetic or optical radiation can be used for real-time brain imaging. Here, changes …
The role of frustration in human–robot interaction–what is needed for a successful collaboration?
A Weidemann, N Rußwinkel - Frontiers in psychology, 2021 - frontiersin.org
To realize a successful and collaborative interaction between human and robots remains a
big challenge. Emotional reactions of the user provide crucial information for a successful …
big challenge. Emotional reactions of the user provide crucial information for a successful …
Cognitive processing stages in mental rotation–How can cognitive modelling inform HsMM-EEG models?
The aspiration for insight into human cognitive processing has traditionally driven research
in cognitive science. With methods such as the Hidden semi-Markov Model …
in cognitive science. With methods such as the Hidden semi-Markov Model …
The Use of Quantitative Electroencephalography (QEEG) to Assess Post-COVID-19 Concentration Disorders in Professional Pilots: An Initial Concept
Announced by WHO in 2020, the global COVID-19 pandemic caused by SARS-CoV-2 has
affected many people, leading to serious health consequences. These consequences are …
affected many people, leading to serious health consequences. These consequences are …
Operator state estimation to enable adaptive assistance in manned-unmanned-teaming
With the continued development of unmanned aerial vehicle (UAV) technologies, the UAV
on-board automation is increasingly more capable of performing tasks formerly done by …
on-board automation is increasingly more capable of performing tasks formerly done by …
Modeling of anticipation using instance-based learning: application to automation surprise in aviation using passive BCI and eye-tracking data
Human-centered artificial intelligence (HCAI) needs to be able to adapt to anticipated user
behavior. We argue that the anticipation capabilities required for HCAI adaptation can be …
behavior. We argue that the anticipation capabilities required for HCAI adaptation can be …
[HTML][HTML] Dual passive reactive brain-computer interface: A novel approach to human-machine symbiosis
The present study proposes a novel concept of neuroadaptive technology, namely a dual
passive-reactive Brain-Computer Interface (BCI), that enables bi-directional interaction …
passive-reactive Brain-Computer Interface (BCI), that enables bi-directional interaction …
Towards autonomous artificial agents with an active self: modeling sense of control in situated action
In this paper we present a computational modeling account of an active self in artificial
agents. In particular we focus on how an agent can be equipped with a sense of control and …
agents. In particular we focus on how an agent can be equipped with a sense of control and …