To What Extent Does Text Simplification Entail a More Optimized Comprehension in Human-Oriented CNLs?

  • Nataly Jahchan
  • Anne Condamines
  • Emmanuelle Cannesson
Conference paper

DOI: 10.1007/978-3-319-41498-0_7

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9767)
Cite this paper as:
Jahchan N., Condamines A., Cannesson E. (2016) To What Extent Does Text Simplification Entail a More Optimized Comprehension in Human-Oriented CNLs?. In: Davis B., Pace G., Wyner A. (eds) Controlled Natural Language. CNL 2016. Lecture Notes in Computer Science, vol 9767. Springer, Cham

Abstract

The aim of this study is to develop a new cockpit controlled language for future Airbus aircraft by using psycholinguistic testing to optimize pilot comprehension. Pilots are aided by cockpit messages in order to deal with different situations during aircraft operations. The current controlled languages used on the Airbus aircraft have been carefully constructed to avoid ambiguity, inaccuracy, inconsistency, and inadequacy [21] in order to ensure the safety of the navigation, operational needs, and the adaptability of the human-computer interaction to different situations in the cockpit. However, this controlled language has several limitations, mostly due to small screen sizes (limited number of words and sentences) and is highly codified (non-conforming to natural language syntax, color-coded, etc.) so that it requires prior pilot training in order to achieve fluency. As future cockpit design is under construction, we might be looking at a different flexibility margin: less limitations, different screen sizes, less coding, etc.

Keywords

Comprehension-oriented CNL Controlled language Airbus cockpit alarms Human factors Psycholinguistics Text comprehension Comprehension optimization 

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Nataly Jahchan
    • 1
    • 2
  • Anne Condamines
    • 1
  • Emmanuelle Cannesson
    • 2
  1. 1.CLLE, University of Toulouse, CNRSToulouseFrance
  2. 2.Airbus Operations SASToulouseFrance

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