AI Medical Compendium Journal:
Frontiers in neuroergonomics

Showing 1 to 10 of 13 articles

Explainable stress type classification captures physiologically relevant responses in the Maastricht Acute Stress Test.

Frontiers in neuroergonomics
INTRODUCTION: Current stress detection methods concentrate on identification of stress and non-stress states despite the existence of various stress types. The present study performs a more specific, explainable stress classification, which could pro...

Combining brain-computer interfaces with deep reinforcement learning for robot training: a feasibility study in a simulation environment.

Frontiers in neuroergonomics
Deep reinforcement learning (RL) is used as a strategy to teach robot agents how to autonomously learn complex tasks. While sparsity is a natural way to define a reward in realistic robot scenarios, it provides poor learning signals for the agent, th...

Responsible (use of) AI.

Frontiers in neuroergonomics
Although there is a rich history of philosophical definitions of ethics when applied to human behavior, applying the same concepts and principles to AI may be fraught with problems. Anthropomorphizing AI to have characteristics such as "ethics" may p...

Friend or foe: classifying collaborative interactions using fNIRS.

Frontiers in neuroergonomics
To succeed, effective teams depend on both cooperative and competitive interactions between individual teammates. Depending on the context, cooperation and competition can amplify or neutralize a team's problem solving ability. Therefore, to assess s...

Normative uncertainty and societal preferences: the problem with evaluative standards.

Frontiers in neuroergonomics
Many technological systems these days interact with their environment with increasingly little human intervention. This situation comes with higher stakes and consequences that society needs to manage. No longer are we dealing with 404 pages: AI syst...

Quantifying time perception during virtual reality gameplay using a multimodal biosensor-instrumented headset: a feasibility study.

Frontiers in neuroergonomics
We have all experienced the sense of time slowing down when we are bored or speeding up when we are focused, engaged, or excited about a task. In virtual reality (VR), perception of time can be a key aspect related to flow, immersion, engagement, and...

Empowering human-AI teams via Intentional Behavioral Synchrony.

Frontiers in neuroergonomics
As Artificial Intelligence (AI) proliferates across various sectors such as healthcare, transportation, energy, and military applications, the collaboration between human-AI teams is becoming increasingly critical. Understanding the interrelationship...

A review of mathematical models of human trust in automation.

Frontiers in neuroergonomics
Understanding how people trust autonomous systems is crucial to achieving better performance and safety in human-autonomy teaming. Trust in automation is a rich and complex process that has given rise to numerous measures and approaches aimed at comp...

Eyes on the road: brain computer interfaces and cognitive distraction in traffic.

Frontiers in neuroergonomics
Novel wearable neurotechnology is able to provide insight into its wearer's cognitive processes and offers ways to change or enhance their capacities. Moreover, it offers the promise of hands-free device control. These brain-computer interfaces are l...