Citation

Marzullo J, Farahani A, Fendley M. Int. J. Hum. Factors Ergon. 2023; 10(3): 311-329.

Copyright

(Copyright © 2023, Inderscience Publishers)

DOI

10.1504/IJHFE.2023.133572

PMID

unavailable

Abstract

Decision aids are developed to ease cognitive load on operators interacting with complex automated systems; however, critical human components are often ignored during design. Finding an appropriate balance of automated assistance and operator trust is paramount in achieving optimal output from the human-automation interaction. Establishing a consistent metric of trust measurement will enhance the functional design of automated decision support, especially as the use of eye tracking opens the field to the use of real-time measurements. This study tasks participants to make measurements, assisted by a decision aid system, within a bone defect model image. The study tests for correlation between eye tracking data and participant trust survey answers.

RESULTS do not indicate a significant correlation; however, fixation duration and fixation count on decision aids rise as decision aid reliability decreases. These results support eye tracking's potential as a real-time, continuous measurement of human trust in automation.

Keywords: trust in automation; eye tracking; decision support; continuous measurement; reliance.

Language: en