Human-Machine Trust, Bias and Automated Decision Aid Acceptance

Abstract

Technological advancements have had a monumental impact on business processes in diverse environments. This study investigates the role of trust and bias on technology acceptance in the medical environment via a two-phase study. In phase one, we assess the impact of user experience on levels of human-machine trust and bias towards automated decision aids (ADAs). In phase two, we explore the impact of human-machine trust and bias towards automation on actual ADA usage. The results indicate that experienced nurses have higher levels of trust and positive bias towards automation; yet, novice nurses are more likely to accept information from an ADA.