The Effect of Value Similarity on Trust in the Automation Systems: A Case of Transportation and Medical Care
Ryosuke Yokoi, Kazuya Nakayachi
Abstract
Trustworthy automation systems can be beneficial in transportation and medical care, thus resulting in broader acceptance of such systems. This study examines the determinants of trust, focusing on the salient value similarity model, which proposed that perceived value similarity increases trust in agents. We have adopted a scenario method and explored whether the automation systems would be trusted when their moral judgments are similar to a participants’ desired values. Experiment 1 (N = 270) showed that moral value similarity affected trust in autonomous cars. Experiment 2 (N = 605) aimed to generalize these findings to the medical domain, wherein trust in a medical system was promoted when the moral values of a system and participant were similar. Moreover, the automation systems were trusted less than human agents in both experiments. Finally, we discuss some theoretical and practical implications of the findings.