Title: Trust in decision support: eye-tracking as a continuous measurement

Authors: Jack Marzullo; Ali Farahani; Mary Fendley

Addresses: Department of Industrial Engineering, Louisiana Tech University, 600 Dan Reneau Dr., Box 10348, Ruston, LA 71272, USA ' Department of Industrial Engineering, Louisiana Tech University, 600 Dan Reneau Dr., Box 10348, Ruston, LA 71272, USA ' Department of Industrial Engineering, Louisiana Tech University, 600 Dan Reneau Dr., Box 10348, Ruston, LA 71272, USA

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.

DOI: 10.1504/IJHFE.2023.133572

International Journal of Human Factors and Ergonomics, 2023 Vol.10 No.3, pp.311 - 329

Received: 30 Sep 2022
Accepted: 12 May 2023
Published online: 21 Sep 2023 *

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