Ecological Interface Design, the Proximity Compatibility Principle, and Automation Reliability in Road Traffic Management

2019 ◽  
Vol 49 (3) ◽  
pp. 241-249 ◽  
Author(s):  
Chris Baber ◽  
Natan Sorin Morar ◽  
Faye McCabe
Author(s):  
M. M. (René) van Paassen ◽  
Joost Ellerbroek ◽  
Jan Comans ◽  
Clark Borst ◽  
Max Mulder

Changes in Air Traffic Management, exemplified by the NextGen and SESAR projects, intend to achieve ATM systems with a higher capacity and also higher efficiency, through more direct routing. At the same time, air traffic safety should continue to increase. An important step in this process can be the partial or full transfer of responsibility for separation to the flight deck, using Airborne Separation Assurance Systems (ASAS). This paper discusses the development of interfaces for ASAS operations using Ecological Interface Design. Rather than focusing on the development and testing of the displays themselves, it addresses the parallels and differences between EID in the process control domain (from which EID originated) and EID in the air traffic domain.


Author(s):  
Dal Vernon C. Reising ◽  
Penelope M. Sanderson

Ecological Interface Design (EID) is a recent philosophy for designing the visual displays of human-machine interfaces. An EID interface displays the higher-order relations and properties of a work domain so that adaptive operator problem solving is better supported for both normal and abnormal system conditions. Previous empirical studies of EID have assumed that the raw data required to derive and communicate the higher-order information would be available and reliable. The present research empirically evaluates the impact of having incomplete data on the effectiveness of an EID interface, compared to a more traditional piping and instrumentation interface. The research also addresses recent criticism directed at previous empirical studies of EID is also addressed. Results suggest that diagnostic performance using an ecological interface is compromised only when the interface is supported by a minimal set of instrumentation. However, an ecological interface supported by maximal instrumentation, on average, leads to the best diagnostic performance.


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