Extending the Ecological Interface Design process—Integrated EID

Author(s):  
Vivek Kant ◽  
Jayasurya Salem Sudakaran
Author(s):  
Christopher R. Hale ◽  
Anna L. Rowe

This symposium addresses the challenge of translating user data to specifications suitable for interface development. Four methodologies will be presented: Decision requirements tables, ecological interface design, object-view and interaction design and procedural networks. These four methodologies will be contrasted relative to three dimensions: (1) type of data used in analysis, (2) point in the design process at which each methodology focuses its impact and (3) the formalisms each uses for translating psychological data into engineering data suitable for specification development. Our introductory remarks will elaborate on these three dimensions, and present an example design problem. The four session participants then will present their respective methodologies, how each addresses the three dimensions and how each can be used to address the example design problem.


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.


2013 ◽  
Vol 71 (11) ◽  
pp. 1056-1068 ◽  
Author(s):  
Olivier St-Cyr ◽  
Greg A. Jamieson ◽  
Kim J. Vicente

Sign in / Sign up

Export Citation Format

Share Document