Research on the Evaluation of General Aviation Electronic Flight Bag Interfaces Based on the SEEV Model
Abstract
a task-value-oriented method based on the SEEV model. Using areas of interest (AOIs) as units, it quantifies salience, effort, expectancy, and
value, then derives three matching degrees, an overall AOI matching degree, and an overall interface evaluation index. A case study covering
six general aviation EFB functional categories and three layout schemes shows that the method supports scheme comparison and selection
while identifying mismatch sources in key AOIs, thus providing support for prototype-stage layout optimization.
Keywords
Full Text:
PDFReferences
[1] Hiltunen D, Chase S G, Kendra A, et al. Electronic Flight Bag (EFB) 2015 Industry Survey[J]. 2015.
[2] Chandra D C, Yeh M, Riley V. Designing a tool to assess the usability of electronic flight bags (EFBs)[J]. 2004.
[3] Chandra D. A tool for structured evaluation of electronic flight bag usability[C]. Digital Avionics Systems Conference, 2003.
[4] Wickens C, McCarley J, Steelman-Allen K. NT-SEEV: A model of attention capture and noticing on the flight deck[C]. Proceedings of
the Human Factors and Ergonomics Society Annual Meeting, 2009, 53(12): 769-773.
[5] Green P. The SEEV Model of Where People Look, Its Derivatives, and Implementation: A Literature Review[J]. 2024.
[6] Green P. Applying the SEEV Model to Assess Where People Will Look: Practical Considerations[C]. Proceedings of the Human Factors
and Ergonomics Society Annual Meeting, 2024, 68(1): 566-571.
[7] Hunter B K, Kiat J E, Klotz S M, et al. The predictive ability of GBVS feature channels on infants' fixations of natural scenes[J]. Visual
Cognition, 2024, 32(7): 586-604.
DOI: http://dx.doi.org/10.70711/frim.v4i5.9383
Refbacks
- There are currently no refbacks.
