Следене
Yuval Zak
Yuval Zak
Ph.D.
Потвърден имейл адрес: post.bgu.ac.il
Заглавие
Позовавания
Позовавания
Година
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
192020
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
132017
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
92023
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
92020
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
82021
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
82018
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
72021
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
72019
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
62019
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
52019
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
22020
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
12020
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
2020
Modelling Data Quality Transitions over Time
Y Zak
Ben-Gurion University of the Negev, Faculty of Engineering Sciences …, 2015
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
2015
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