Human-computer interaction (2nd ed.)
Human-computer interaction (2nd ed.)
Towards model based prediction of human error rates in interactive systems
AUIC '01 Proceedings of the 2nd Australasian conference on User interface
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Learning from Data: Concepts, Theory, and Methods
Learning from Data: Concepts, Theory, and Methods
Modeling humans in human-computer interaction
The human-computer interaction handbook
Effective Prototyping for Software Makers
Effective Prototyping for Software Makers
Enhancing air traffic displays via perceptual cues
ACM Transactions on Applied Perception (TAP)
| Hi-index | 0.00 |
Air Traffic Management (ATM) involves a complex decision-making process that involves several entities as short time to analyze risk situations and many attributes to verify before take an action. So, Decision Support System (DSS) is a great way to air traffic controllers achieve better results in their work. A well implemented DSS must provide a simple Human-Computer Interaction (HCI) to achieve great results. Even a system can provide all functionalities for a specialist, it must achieve his expectations and results by other requirements, i.e., maybe a right answer with delay or hard to find will become a wrong or unnecessary answer. The proposed approach by Air Holding Problem Module (AHPM) has a sub module responsible for forecasting airspace scenarios and another responsible to support decision-making process by an interaction with air traffic controller. Thus, it is possible that air traffic controller interacts with the system and carries out his activities faster and more informed by a simple screen which contains knowledge necessary. The AHPM achieved a great human-computer interaction level because the interaction is very simple and all mandatory information to do great analysis is presented in a same screen by a clean and objective organization.