title: Investigating mode errors on automated flight decks: illustrating the problem-driven, cumulative, and interdisciplinary nature of human factors research.
abstract: OBJECTIVE
  The goal of this article is to illustrate the problem-driven, cumulative, and highly interdisciplinary nature of human factors research by providing a brief overview of the work on mode errors on modern flight decks over the past two decades.
  
  
  BACKGROUND
  Mode errors on modem flight decks were first reported in the late 1980s. Poor feedback, inadequate mental models of the automation, and the high degree of coupling and complexity of flight deck systems were identified as main contributors to these breakdowns in human-automation interaction. Various improvements of design, training, and procedures were proposed to address these issues.
  
  
  METHODS
  The author describes when and why the problem of mode errors surfaced, summarizes complementary research activities that helped identify and understand the contributing factors to mode errors, and describes some countermeasures that have been developed in recent years.
  
  
  RESULTS
  This brief review illustrates how one particular human factors problem in the aviation domain enabled various disciplines and methodological approaches to contribute to a better understanding of, as well as provide better support for, effective human-automation coordination.
  
  
  CONCLUSIONS
  Converging operations and interdisciplinary collaboration over an extended period of time are hallmarks of successful human factors research.
  
  
  CONCLUSIONS
  The reported body of research can serve as a model for future research and as a teaching tool for students in this field of work.
authors.affiliation: Department of Industrial and Operations Engineering - Center for Ergonomics, University of Michigan, Ann Arbor, MI 48109, USA. sarter@umich.edu
authors.forename: Nadine
authors.initials: N
authors.lastname: Sarter
mesh_terms: D001359:Aviation; D001364:Awareness; D032882:Comprehension; D006804:Ergonomics; D006801:Humans; D008328:Man-Machine Systems; D012106:Research; D012449:Safety