Automation as an equal team player for humans?–A view into the field and implications for research and practice

M Rieth, V Hagemann - Applied Ergonomics, 2022 - Elsevier
The practical reality and feasibility of Human-Autonomy Teaming (HAT) are analyzed from
an experts' point of view, considering current possibilities of various fields. We aim to find out …

A review of physiological measures for mental workload assessment in aviation: A state-of-the-art review of mental workload physiological assessment methods in …

G Luzzani, I Buraioli, D Demarchi… - The Aeronautical …, 2024 - cambridge.org
The relevant growth of human-machine interaction (HMI) systems in recent years is leading
to the necessity of being constantly aware of the cognitive workload level of an operator …

Flashlight model: Integrating attention distribution and attention resources for pilots' visual behaviour analysis and performance prediction

M Lyu, F Li, X Qu, Q Li - International Journal of Industrial Ergonomics, 2024 - Elsevier
Pilot performance is almost the last line of defense in aircraft safety. Recent years have seen
a surge in research aimed at utilizing eye-tracking technology to predict pilot performance …

Neuroadaptive technology and the self: A postphenomenological perspective

S Fairclough - Philosophy & Technology, 2023 - Springer
Neuroadaptive technology (NAT) is a closed-loop neurotechnology designed to enhance
human–computer interaction. NAT works by collecting neurophysiological data, which are …

An Evaluation of Situational Autonomy for Human-AI Collaboration in a Shared Workspace Setting

V Salikutluk, J Schöpper, F Herbert… - Proceedings of the CHI …, 2024 - dl.acm.org
Designing interactions for human-AI teams (HATs) can be challenging due to an AI agent's
potential autonomy. Previous work suggests that higher autonomy does not always improve …

An Information Bottleneck Characterization of the Understanding-Workload Tradeoff in Human-Centered Explainable AI

L Sanneman, M Tucker, JA Shah - The 2024 ACM Conference on …, 2024 - dl.acm.org
Recent advances in artificial intelligence (AI) have underscored the need for explainable AI
(XAI) to support human understanding of AI systems. Consideration of human factors that …

An information bottleneck characterization of the understanding-workload tradeoff

L Sanneman, M Tucker, J Shah - arXiv preprint arXiv:2310.07802, 2023 - arxiv.org
Recent advances in artificial intelligence (AI) have underscored the need for explainable AI
(XAI) to support human understanding of AI systems. Consideration of human factors that …

Human-autonomy teaming in ship inspection: Psychological perspectives on the collaboration between humans and self-governing systems

T Ellwart, N Schauffel - Smart Ports and Robotic Systems: Navigating the …, 2023 - Springer
For decades, work psychologists have studied the automation of work processes to establish
human-centered work design. Moving from automation to autonomy through software …

Methods and measures to evaluate technologies that influence aviator decision making and situation awareness

E Roth, D Klein, C Sushereba, K Ernst… - … -TECHCR–2022-22 …, 2022 - apps.dtic.mil
This report details the results of the Aviation Decision Making and Situation Awareness
study. The objective of this study was to recommend measures and methods to evaluate …

EDA, PPG and Skin Temperature as Predictive Signals for Mental Failure by a Statistical Analysis on Stress and Mental Workload

G Luzzani, I Buraioli, G Guglieri… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
Objective: The growth of autonomous systems interacting with humans leads to assessing
operators' stress and mental workload (MWL), especially in safety-critical situations …