Correlating Trust with Signal Detection Theory Measures in a Hybrid Inspection System

نویسندگان

  • Xiaochun Jiang
  • Mohammad T. Khasawneh
  • Sittichai Kaewkuekool
  • Shannon R. Bowling
  • Brian J. Melloy
  • Anand K. Gramopadhye
چکیده

Signal detection theory provides a precise language and graphic notation for analyzing decision making in the presence of uncertainty. It has been widely used in visual inspection to evaluate system performance. Recent studies also found that trust in automation plays a very important role in visual inspection. Particularly, trust has a great influence on the use of automation in a hybrid inspection system where humans and machines work cooperatively. This study attempts to correlate trust with Signal Detection Theory measures in a hybrid inspection system. The results indicate there is a correlation between these two.

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تاریخ انتشار 2003