Ecological interface design: supporting fault diagnosis of automated advice in a supervisory air traffic control task

Notes

Borst, C., Bijsterbosch, V.A., van Paassen, M.M. and Mulder, M. (2017) 'Ecological interface design: supporting fault diagnosis of automated advice in a supervisory air traffic control task', *Cognition, Technology & Work*, 19(4), pp. 545–560. doi: 10.1007/s10111-017-0438-y. Open access (CC BY 4.0). Human-in-the-loop ATC simulation (16 participants, between-subjects: explicit means-ends links On vs. Off, 8 per group; within-subjects: low vs. high traffic complexity, no-fault vs. fault). Tests whether an ecological interface (the solution space diagram, SSD) with explicit means-ends relations helps controllers diagnose a sensor failure (ADS-B in-trail position offset) hidden in automated conflict-resolution advice. Explicit means-ends links significantly improved fault detection/diagnosis in the high complexity scenario, but also drove participants to take control from the automation regardless of fault — exposing a transparency-versus-compliance dilemma. Routed to remote-operations-kb on supervisory-control / human-automation-teaming grounds (ATC is an explicit domain example). RAW PDF carries a journal-page offset: PDF p. N = orig. printed p. 544+N (PDF p. 1 = orig. p. 545).

```bibtex
@article{borst2017ecological,
  author  = {Borst, Clark and Bijsterbosch, Vincent A. and van Paassen, M. M. and Mulder, Max},
  title   = {Ecological interface design: supporting fault diagnosis of automated advice in a supervisory air traffic control task},
  journal = {Cognition, Technology \& Work},
  year    = {2017},
  volume  = {19},
  number  = {4},
  pages   = {545--560},
  doi     = {10.1007/s10111-017-0438-y}
}
```

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