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Designing Automation to Fit Human Needs at Work

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  2. Designing Automation to Fit Human Needs at Work

Research that examines the best way to design automation for complex work systems.

Researchers

Associate Prof. Shayne Loft
Sam Huf (DSTO)
Stephanie Chen (PhD)

 

Relevant Papers

  • Loft, S., Smith, R. E., Remington, R. W. (2013). Minimizing the Disruptive Effects of Prospective Memory in Simulated Air Traffic Control. Journal of Experimental Psychology: Applied
  • Loft, S., Smith, R.E., & Bhaskara, A. (2011). Prospective memory in an air traffic control simulation: External aids the signal when to act. Journal of Experimental Psychology: Applied

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