Yuval Zak
Yuval Zak
Overená e-mailová adresa na:
Citované v
Citované v
Subjective Workload assessment technique (SWAT) in real time: Affordable methodology to continuously assess human operators’ workload
Y Zak, Y Parmet, T Oron-Gilad
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
Development and evaluation of a continuous-time Markov chain model for detecting and handling data currency declines
Y Zak, A Even
Decision Support Systems 103, 82-93, 2017
Operator workload reduced in unmanned aerial vehicles: Making command and control (C2) maps more useful
Y Zak, T Oron-Gilad, Y Parmet
Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62 (1 …, 2018
Combining cognitive work analysis and empirical evaluations to understand map use by operators of small carry-on unmanned aerial systems
Y Back, Y Zak, Y Parmet, T Oron-Gilad
Applied Ergonomics 90, 103218, 2021
An artificial intelligence algorithm to automate situation management for operators of unmanned aerial vehicles
Y Zak, Y Parmet, T Oron-Gilad
2020 IEEE Conference on Cognitive and Computational Aspects of Situation …, 2020
Towards the development of a display filter algorithm for command and control (C2) maps for operators of unmanned aerial systems
Y Zak, Y Parmet, T Oron-Gilad
Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing …, 2019
Facilitating the Work of Unmanned Aerial Vehicle Operators Using Artificial Intelligence: An Intelligent Filter for Command-and-Control Maps to Reduce Cognitive Workload
Y Zak, Y Parmet, T Oron-Gilad
Human Factors 65 (7), 1345-1360, 2023
Rapid interpretation of temporal–spatial unmanned aerial vehicle (UAV) operational data–RITSUD: Aiding UAV operators with visualizations of patterns-of-life activities
Y Zak, H Tapiro, TJ Alicia, Y Parmet, M Rottem Hovev, GS Taylor, ...
Journal of Cognitive Engineering and Decision Making 15 (4), 135-154, 2021
Using Cognitive Work Analysis to Understand UAS Operators’ Map Display Needs
Y Back, Y Zak, Y Parmet, T Oron-Gilad
Submitted to Requirements Engineering, April 2019, 2019
Making Command and Control Maps More Useful for Operators of Unmanned Aerial Systems: A Preliminary Model and Empirical Approach
Y Zak, Y Parmet, T Oron-Gilad
INCOSE International Conference on Human Systems Integration, HSI2019, 2019
GiCoMAF: An Artificial Intelligence Algorithm to Utilize Maps for Operators of Unmanned Aerial Vehicles
Y Zak, Y Parmet, T Oron-Gilad
Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning …, 2020
Towards enhancement of unmanned aerial vehicle (UAV) operators' situation awareness: How often should their command and control map be updated
Y Zak, Y Parmet, T Oron-Gilad
Companion of the 2020 ACM/IEEE International Conference on Human-Robot …, 2020
The Use of Machine Learning Models to Dynamically Generate Visualizations for Unmanned Aerial Vehicle (UAV) Operators in Aim to Improve Mission Performance
Y Zak
Ben-Gurion University of the Negev, 2020
Modelling Data Quality Transitions over Time
Y Zak
Ben-Gurion University of the Negev, Faculty of Engineering Sciences …, 2015
A continuous Markov-Chain model of data quality transition: Application in insurance-claim handling
Y Zak, A Even
New Horizons in Design Science: Broadening the Research Agenda: 10th …, 2015
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
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