@article{ref1,
title="Trust in decision support: eye-tracking as a continuous measurement",
journal="International journal of human factors and ergonomics",
year="2023",
author="Marzullo, Jack and Farahani, Ali and Fendley, Mary",
volume="10",
number="3",
pages="311-329",
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. <br><br>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.<p /> <p>Language: en</p>",
language="en",
issn="2045-7804",
doi="10.1504/IJHFE.2023.133572",
url="http://dx.doi.org/10.1504/IJHFE.2023.133572"
}